Siddharth Hariharan, et al v. Adobe Systems, Inc., et al

Filing 1

FILED ON 11/07/2013 PETITION FOR PERMISSION TO APPEAL PURSUANT TO RULE 23(f). SERVED ON 11/07/2013. [8856405] (HC)

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Case No. __________ UNITED STATES COURT OF APPEALS FOR THE NINTH CIRCUIT IN RE HIGH-TECH EMPLOYEE ANTITRUST LITIGATION Petition for permission to appeal from the United States District Court Northern District of California The Honorable Lucy H. Koh, Presiding Case No. 5:11-2509-LHK DEFENDANT-PETITIONERS’ EXCERPTS OF RECORD VOLUME III OF VIII ROBERT A. VAN NEST, #84065 DANIEL PURCELL, #191424 EUGENE M. PAIGE, #202849 JUSTINA SESSIONS, #270914 KEKER & VAN NEST LLP 633 Battery Street San Francisco, CA 94111-1809 Telephone: 415 391 5400 Facsimile: 415 397 7188 Attorneys for Defendant and Petitioner Google Inc. 789556 EXCERPTS OF RECORD N.D.CAL. DOCKET # DOCUMENT PAGE Volume I of VIII (District Court Orders—Public Versions) 1. 531 Oct. 24, 2013 Order Granting Plaintiffs’ Supplemental Motion for Class Certification (public redacted version) 0001 2. 382 April 15, 2013 Order Granting in Part and Denying in Part Plaintiffs’ Motion for Class Certification (public redacted version) 0087 Volume II of VIII (Expert Reports – Public Versions) 3. 518-2 518-4 Expert Report of Professor Kevin M. Murphy (public redacted version) 0140 4. 424-2 Supplemental Expert Report of Edward E. Leamer, Ph.D. (public redacted version) 0340 Volume III of VIII (Expert Reports – Public Versions) 5. 440 Supplemental Expert Report of Professor Kevin M. Murphy (public redacted version) 0402 6. 442 Expert Report of Kathryn M. Shaw, Ph.D. (public redacted version) 0570 Volume IV of VIII (Depositions and Declarations – Public Versions) 7. 308-1, 445-2 Deposition of Edward Leamer 0676 8. 538-8 538-11 Declaration of Danny McKell in Support of Defendants’ Opposition to Plaintiffs’ Motion for Class Certification (public redacted version) 0691 1 789556 N.D.CAL. DOCKET # 9. 516-6 10. DOCUMENT PAGE Declaration of Frank Wagner in Support of Defendants’ Opposition to Plaintiffs’ Motion for Class Certification (public redacted version) 0713 District Court Docket Report 0725 Volume V of VIII (District Court Orders FILED UNDER SEAL) 11. Oct. 24, 2013 Order Granting Plaintiffs’ Motion for Class Certification (under seal version) 0804 12. 383 April 15, 2013 Order Granting in Part and Denying in Part Plaintiffs’ Motion for Class Certification (under seal version) 0890 Volume VI of VIII (Expert Reports FILED UNDER SEAL) 13. Expert Report of Professor Kevin M. Murphy (under seal version) 0944 14. Supplemental Expert Report of Edward E. Leamer, Ph.D. (under seal version) 1144 Volume VII of VIII (Expert Reports FILED UNDER SEAL) 15. Supplemental Expert Report of Professor Kevin M. Murphy (under seal version) 1180 16. Expert Report of Kathryn M. Shaw, Ph.D. (under seal version) 1348 17. Expert Witness Report of Kevin F. Hallock, Figure 7 1454 2 N.D.CAL. DOCKET # DOCUMENT PAGE Volume VIII of VIII (Depositions and Declarations FILED UNDER SEAL) 18. Deposition of Michael Devine 1455 19. Declaration of Danny McKell in Support of Defendants’ Opposition to Plaintiffs’ Motion for Class Certification (under seal version) 1458 20. Declaration of Frank Wagner in Support of Defendants’ Opposition to Plaintiffs’ Motion for Class Certification (under seal version) 1480 21. Exhibit 24 to Declaration of Lin W. Kahn in Support 1492 of Defendants’ Opposition to Plaintiffs’ Supplemental Motion for Class Certification 3 5 Case5 11 cv 02509 LHK Document440 Filed0621 13 Page1 of 35 UNITED STATES DISTRICT COURT NORTHERN DISTRICT OF CALIFORNIA SAN JOSE DIVISION RE HIGH TECH EMPLOYEE ANTITRUST LITIGATION IN THIS Master Docket No 11 CV2509 LHK DOCUMENT RELATES TO ALL ACTIONS SUPPLEMENTAL EXPERT REPORT OF PROFESSORKEVIN June 21 2013 M MURPHY Case5 11 cv 02509 LHK Document440 Filed0621 13 Page2 of 35 Table of Contents I II INTRODUCTION 1 THE VARIATION IN INDIVIDUAL COMPENSATION WHICH DR LEAMERS ANALYSES IGNORE SHOWS THAT A RAISE FORONE OR SOME DOES NOT NECESSARILY CAUSE A RAISE FOR ALL OR NEARLY ALL 2 A DR LEAMER FOCUSESON CORRELATIONS OF AVERAGE COMPENSATION FOR JOB TITLES WITH OVERALL AVERAGE COMPENSATION AND HE DOES NOT ANALYZE THE SUBSTANTIAL VARIATION IN COMPENSATION CHANGES FOR INDIVIDUAL EMPLOYEES B THERE IS SUFFICIENT VARIATION IN COMPENSATION ACROSS 2 INDIVIDUALS WITH THE SAME JOB TITLE THAT ONE CANNOT ASSUME THAT ADJUSTING ONE EMPLOYEES COMPENSATION REQUIRES ADJUSTING OTHERS III 5 PROPERLY INTERPRETED DR LEAMERS CORRELATION EVIDENCE SHOWS THAT LITTLE VARIATION IN AVERAGEJOBLEVEL COMPENSATION IS EXPLAINEDBY CHANGES IN CLASS WIDE AVERAGE COMPENSATION A IT IS DEVIATIONS IN COMPENSATION NOT CORRELATIONS THAT MATTER FOR EVALUATING PLAINTIFFS CLAIMS B 7 CORRELATION LEVELS THAT DR LEAMER 8 FINDS ASTOUNDING IMPLY THAT ALMOST ALL THE VARIATION IN JOBLEVEL COMPENSATION IS NOT EXPLAINED BY CLASS WIDE AVERAGE COMPENSATION IV 10 DR LEAMERS REGRESSION ANALYSIS DOES NOT SHOW THAT FORCES OF INTERNAL EQUITY COMBINED WITH THE HYPOTHESIZED SOMEWHAT RIGID WAGE STRUCTURE GENERATE CLASS WIDE IMPACT FROM THE CHALLENGED AGREEMENTS 12 A 13 DR LEAMER IGNORES THE B DR LEAMERS C D HORSE REFLECTION RACE IS PROBLEM UNINFORMATIVE 16 DR LEAMER DOES NOT TAKE INTO ACCOUNT THE TENDENCY OF COMPENSATION TO REVERT TO THE MEAN EMPIRICAL EVIDENCE SHOWS THAT DO NOT REFLECT THE CAUSALITY PLAINTIFFS CLAIMS OF DR LEAMERS REQUIRED BY CLASSWIDE IMPACT i 18 REGRESSION RESULTS HIS THEORY TO SUPPORT 22 Case5 11 cv 02509 LHK 1 The Same False Document440 Causality is Filed0621 13 Page3 of 35 Found with Another Compensation Dataset 2 E V A Regression Model that Explains the Change in Chicago Temperature as Catch up from the Difference between Chicago and Milwaukee Temperatures Illustrates Dr Leamers Misleading Conclusions 24 CONCLUSION DR LEAMER DOES NOT ESTABLISH CLASS VI 22 IS 25 THAT THE PROPOSED TECHNICAL PROPERLY DEFINED 26 DR LEAMERS CONDUCT REGRESSION REMAINS UNINFORMATIVE TECHNICALAPPENDIX MODELLING THE REFLECTION PROBLEM ii 27 29 Case5 11 cv 02509 LHK I I Page4 of 35 INTRODUCTION 1 Filed0621 13 Document440 have been asked by Counsel for Defendants to respond to the Supplemental E Leamer PhD Report of Edward Dr Leamers so analysis answers the Courts that compensation rigid together Leamer Supplemental Report through necessarily result in an impact would the entire salary contains fundamental salary structures would necessarily and e i in entirely different jobs 2 structure I have concluded that whether to consider impact to an employee with one job to other employees errors of economics and Defendants for employees with entirely different titles time such that a detrimental ripple across whether question 1 Expert were move would title that any impact Dr Leamers report and provides no evidence that the statistics Defendants had such rigid compensation structures that suppressing wages of some employees would 2 wages necessarily suppress First Dr Leamers average compensation analysis is based compensation changes employees of individual e impact i first a that 3 Second compensation necessarily required raise 4 Third same result in raises for 1 two In Re High Tech Certification April statistical fallacies in compensation Thus call would and his analysis cannot conduct had class wide compensation increase even by job title with overall average or all from one that fallacies virtually Antitrust Litigation Order is in constructing guarantee that E Leamer 5 at does not analyze the the challenged cold and analysis nor his regression analysis can distinguish Employee 2013 a title job titles Class cannot show that raises for some employees some structure Supplemental Expert Report of Edward 2 how by job title neither his correlation these receive He differences of average compensation somewhat rigid compensation combination of of the proposed class of compensation with the same job who for the proposed Technical victim to two well known ignores link in his theory to employees correlations would on averages he so among employees other employees with the to members for all job titles in the proposed class compensation demonstrate the of all or nearly all May 10 2013 not In particular his regression Dr Leamer Leamer Supplemental 1 in Leamer model will obtain Order Granting in Part Denying 36 Dr a falls In the type of Report Part Motion for Class Case5 11 cv 02509 LHK regression results that he does even Filed0621 13 Document440 if Page5 of on there is zero effect of an individual’s pay 35 the pay of others 5 Fourth Dr Leamer does not establish that the proposed class 6 Finally Dr Leamer did not address the Courts the Conduct Regression that he offers as evidence of properly is improve invitation to defined the accuracy of impact and damages and generalized 3 thus did not respond to the lack of precision of his estimates II THE VARIATION IN INDIVIDUAL COMPENSATION WHICH DR LEAMERS ANALYSES IGNORE SHOWS THAT A RAISE FOR ONE OR SOME DOES NOT NECESSARILY CAUSE A RAISE FOR ALL OR NEARLY ALL 7 The claims is question that I consider whether a change cause a change relevant in compensation in compensation for evaluating at one point for the class as a the Courts concerns about Plaintiffs in the compensation whole This is would structure different than whether average Comovement compensation common response to which compensation is factors that have the focus of illustrate Dr nothing Leamers the use of umbrellas and windshield wipers in other Rather they A empirical are both caused Dr Leamer Focuses by a a co movement Dr Leamers could simply reflect analysis is not informative correlation or external cold He how and causation but neither causes the factor rain on Correlations of Average Compensation with Overall Average Compensation and as to calling co movement city are highly correlated common the sharing theory differ absent the alleged between the difference since do with to members would of different class To agreements moves together for different job titles for Job Titles Does Not Analyze the Substantial Variation in Compensation Changes for Individual Employees 8 various Dr Leamers job titles empirical are correlated with proposed class as a whole individual 3 Order at level which 42 43 analysis focuses and fn is He movements on whether changes in average compensation in the average compensation level does not examine whether changes in compensation where the initial impact 15 2 of any cold call would occur for for the at the necessarily cause Case5 11 cv 02509 LHK changes Dr Leamer same job for all or nearly all employees in the no offers postulate either Plaintiffs acknowledged level But he chose across by to work with forces within the same job individuals data available that operate at to that and were so structures move necessarily job title would that compensation rigid through together would that any impact The amount ripple across it is an impact the compensation of an individual always identical for individuals eg formula permitted then individuals receives a a change in that cold by promoting there is wide variation presume as Dr in compensation in her to compensation Leamer appears to do because the firm has sufficient compensation of a given compensation for that employee individual Leamer Supplemental Report 5 Order at if If for individuals that an increase in flexibility in in 19 36 3 no the deviation for other an individual if as a regular matter same job one cannot for one employee in for all employees with the pressure from a cold call without changing compensation to pay were the job with when to respond to outside resulting chooses require a change in compensation compensation such as pressure e i were determined by a fixed compensation would if it individual better paid job title In contrast changes would employees over time determines a cold call for one individual response to a cold call would cause an increase job title receives or salary structure of individual title those in entirely different jobs that the firm does not respond a precisely 5 factors such as level of tenure same job assuming call who within a job based only on objective across Defendants whether a firmhas to adjust compensation of a large number of individuals increase data is likely to impact to an employee with one to other employees the entire salary He the individual for employees with entirely different titles in compensation of variation job titles averaging asked as the Court time such that a detrimental necessarily result in at the individual However effects whether effects that determine individual studied level and that the individual 4 4 or for the proposed or across title him could be averages claiming title in a title can average out the individual individuals 10 title 35 of evidence that demonstrates the type of propagation that empirical that the compensation be dominated forces Page6 a whole class as 9 compensation in Filed0621 13 Document440 for other same on to adjust employees even those Case5 11 cv 02509 LHK in the same job title grants increase individual For example the firm can provide base salary within to another job title with the existing a would allow 11 employees Even within The because in by received there is substantial 12 existence firm correlations 6 although he fails to common would have factor that tremendous success well established in recent employees is Intel within a job affected at a given in at from does not support himself by very time While over sharing theory identifies such a factor that this type of decision to However factors it contamination freeze 4 exactly in that year Apples from a relative newcomer to a while compensation received also is affected Computerworld is in salaries in 20097 is a by other factors that over time Down when he for producers and directors levels and changes transformation similar category by common Dr Leamers large bonuses compensation on the individual factors that can cause similar adjustments Similarly Intels CEO pay across point in 67 Freezes Salaries title pay years and Googles a and decreases changes consistent with a firm tends to be positively correlated many common uncommon changes Leamer Supplemental Report at acknowledge affected tech firm fall into result in substantial Agam Shah the broadly since doing so below show that and decreases wide Dr Leamer analysis reflects individual of the Pixar data are contaminated 2006 discuss annual compensation employees what his correlation by titles individualization of positive I increases and small increases individual employee compensation 2002 and job the fact that there are it reflects argues that or stock or promote divergence in compensation of individuals individual a mixture of large compensation time 35 salary Moreover the firm would have an incentive higher the Defendants routinely differentiate In particular show of bonuses retention salary range for that title Data on compensation of individuals which level Page7 the firm to minimize its labor costs that flexibility there is substantial 7 one time respond in one of these other ways rather than adjust compensation to 6 Filed0621 13 Document440 March 23 2009 Case5 11 cv 02509 LHK B There One Cannot Assume That Title Compensation Requires 13 performed I several Adjusting and that the data 35 The I One Employees That Adjusting which compensation to displays the cumulative in compensation 8 histories These exhibits are employees that of individual summarize more systematically of compensation job title at each of the Defendants the type of variation illustrate throughout present 1 Exhibit for all employees within a single selected meant simply to of Others to understand the extent analyses employees moves together individual Page8 Variation in Compensation Across Individuals With Is Sufficient Same Job Filed0621 13 Document440 is my subsequent in exhibits 14 1 shows Exhibit cumulative changes 2010 compared in 2005 to consistent with correlation diverge 15 period in The title magnitude with some 8 selected I title before 25 If 9 the job 2006 than to have titles then individuals in A the receiving to large increases the job high positive 51 years in the middle based on number of employees in changes in compensation for changes for Adobes infer more than 25 percent Lucasfilm because selected I reasonable the first consistent the from this that title data to display and others by the Defendant did not include or the closest graphically in job that titles number to chart in a single one ranked alphabetically means that compensation is its 25 employees that included seemed Class thus supporting directly affects it I then a fact which levels title as correlation of the Technical for of a title the conclusion moves in a way that the title that is and the class with sharing of gains and broad impact of the under study or the rest of the Technical Dr Leamer considers individuals that change job titles in my analysis his calculated Class correlations because moving an individual into a new job promoting him from a Software Engineer 3 to a Software Engineer structure 2007 and 2008 to be positive 10 individuals in levels members who remained employed class 2006 2010 25 employees whether Leamer Supplemental Report include 2010 each Defendant rest compensation anti cold calling conspiracy I year to year changes fully time series can correlated For example compensation with as many employees contained Dr Leamer coordinated 10 by restricting the data title words is vary in sign and selected for compensation high and In other of have examples one job According to similar to I high9 the large annual variation same job each year from 2005 through in in order more the have very different title divergence in compensation over time the top three job titles at each Defendant start in employees with the job levels that are exhibit summarizes who individuals with the same job 2 examines compensation changes between Exhibit 2007 in This substantial and can have substantial substantially of the class start over time and can end up with very different compensation compensation in who that individuals compensation in response to a cold call or otherwise more broadly 5 4 is one without way in adjusting which a firm the firms title eg can increase an compensation Case5 11 cv 02509 LHK suffering more than 25 percent Taken together large decreases based on statistics this title individuals adjusting by and job title for individual eliminating 11 The in compensation the overall compensation indicates peers Again peers percent compensation individual exhibit as deviations 17 compensation changes between compensation that the individual from the average change the data after each of the firm to adjust same job 10 exercise 10 for the The exhibit controlling for tenure gender between age based on changes in and job A value 10 of less than equivalent percent substantial flexibility changes in adjusting shown in the year 3 from Exhibit across greater than equivalent percent received 2001 between the changes age that reflect characteristics I by group the data into four categories shows 10 percent the large differences employees with the lowest compensation changes standardizing in the exhibit the top and bottom quartiles percent a at those with the and what would be predicted that Defendants change and show and bottom 25 effect with a wide distribution of annual adjusted 4 summarizes Exhibit for summary in this exhibit reflects the differences obtained an increase indicates show the results in and that individuals that the individual 10 while the in individuals compensation characteristics for an individual structure including impacts on compensation systematic room 35 of of this flexibility differentiation summarized the change percent employees 3 examines average annual changes after 2 and Exhibit that there is substantial differently for different individual Exhibit and 2011 top B show and that Defendants take advantage 16 Page9 type of analysis for more years and a larger number of jobs seven Defendant firms in Appendix compensation Filed0621 13 Document440 changes deciles and the in compensation and those with the highest tenure gender and job title For example at Adobe employees in the bottom decile of the distribution have annual compensation changes that are 29 percent below the average employees compensation changes that are 29 percent compensation changes between compensation increase This those comparison with less eliminates in two groups the compensation systematic effects the top decile of the distribution have Thus the average is on average 60 percent Similarly the difference 11 these above in is nearly higher 60 percent the than the increase changes between such as larger average tenure 6 the difference in annual the top groups of the bottom annual group the employees in the bottom increases for younger employees or for Case5 11 cv 02509 LHK Adobe and quartile at compensation room for a Filed06 21 13 Document440 those in the top quartile is almost changes at Adobe 40 percent 12 The of one employee of 35 large variation shows as well as at the other six Defendants firm to adjust the compensation Page10 in that there is ample without adjusting the compensation of others 18 Thus 1 4 show Exhibits As a individual level individual employees even employee who the III 19 same job receives that the Defendant firms routinely adjust compensation result there is sufficient variation within same the an outside compensation of an that a firmcan increase job title offer without adjusting growth for compensation of other employees with 13 title PROPERLY INTERPRETED DR LEAMERS CORRELATION EVIDENCE SHOWS THAT LITTLE VARIATION IN AVERAGE JOBLEVEL COMPENSATION IS EXPLAINED BY CHANGES IN CLASS WIDE AVERAGE COMPENSATION Dr Leamer compensation presents correlations that compare most of the Technical reveal a large amount top down budgeting method and consistent with a of Class titles of each defendant allows the effects of the anti cold calling conspiracy However whether the correlation Dr evidence 14 a is movement over time the of each title with the average compensation claims that these calculations 20 of compensation in rates at the Technical of the firms co movement He Class and of compensation claims that this somewhat rigid to spread broadly consistent of the average co movement salary structure across with among each is which 15 firm his theory is only part of comovement the issue that Leamer must purposes of understanding is inconsistent Leamer claims 12 The difference differences 13 Appendix A provides in order to support his theory whether Plaintiffs claims have merit with a compensation structure that essence as differences additional increase in not Leamer Supplemental Report Intel relied upon by Dr and Apple within 4 Leamer Supplemental Report at and a 19 percent decrease is relevant for whether evidence of rigid in the 38 percent way that consistent In Exhibits Dr with 36 percent logs evidence changes for employees 4 15 is is More of hypothesis testing is not to provide evidence between a 19 percent are defined compensation 14 The address 7 Leamer in his Reply a single job title Report of the dispersion of a Case5 11 cv 02509 LHK hypothesis but to offer evidence capable of rejecting Evidence that hypothesis Page11 of 35 were not true if it consistent with the theory being true and the theory being false is not that is equally Dr Leamers informative Filed06 21 13 Document440 analysis fails to meet this essential principle of scientific methodology 21 In the language of that a change evidence of in one variable mischaracterizes between Economics tells us structure is not whether exercised 17 also overstates of the measured that what to Correlation but not the series the extent scope how much the two members 23 is relevant in to which compensation 17 for are them for individual the variation example in characteristics Leamer Supplemental Report See job title theory movement and for Evaluating high If to change correlation of a coefficient firms job titles deviate compensation from one another If it they diverge if as substantially Dr Leamer claims a Large does not follow that Defendants have in response to a cold call in job level average compensation tenure gender and job title over the period 42 46 George Casella and Roger then the compensation for all or nearly all class annual changes age series are linearly they track closely then the firmhas Even Positive which two the rigidity job titles titles imply about his claim of a over time There can be large series deviate of alternative differentiate pay across structures that require 5 shows the degree to understanding they raise one employees compensation Exhibit adjusting 16 if the similarity in causality16 then offers only Dr Leamers coefficients even though they have a Job Title Change Correlations compensation he Not Correlations that Matter measures firmcan and does differentiate pay across job Share of but reflect correlations they are weakly or strongly correlated little in the other to support does not explain what his correlation compensation rigid that his correlations Claims related to one another deviations causation Deviations in Compensation It is Dr Leamer somewhat Dr Leamer the implications Plaintiffs 22 below implies or similar movement in average correlation does not establish the necessary as I explain A Dr Leamer leads to or causes a change co movement However compensation Moreover economics L Berger Statistical Inference 8 1990 pp 160 168 after 2001 Case5 11 cv 02509 LHK The 2011.18 exhibit shows distribution of changes 4 which summarizes Exhibit in compensation change relative to the percent adjusting after changes in average while average Thus percent largest for 18 changes across in that weighted by the number of deviations decreased by job higher percent in changes variation by 16 in job average compensation of the employees in each in at decile Similarly the jobs in the top in job average smallest for Intel but is economically large for Dr Leamers each of at each job These calculations regressions of correct compensation generating October to the results but some characteristics select in I as follows Leamer when constructing the average was wide Defendant and these in individual regressions has expressed have calculated First I take his deciles of I common see jobs that span plot the annual changes characteristics Correcting ranges across titles in average lockstep average in for individual I the same support from 9 at makes Expert Report of Edward statistics the without correcting same economic very is the two years for Google 9 in which may be Ph 2002 to 50 each Defendant at after Finally am at D E Leamer for individual same employment I are little conclusions from each of the ten deciles have 50 jobs for each Defendant the The joblevel deviations characteristics concern that variation in individual characteristics the top five jobs across by using annual level and fixed job effects have fewer than 50 jobs for most Defendants until employees five The number of jobs plotted report in annual compensation variation confirm that rather than moving over time in joblevel compensation also my initial from a sample of the most based on 2001 2011 employment which number job titles 2006 2011 have fewer than five jobs the next largest jobs require to exhibits and obtain very similar results which the jobs deciles The Dr Leamer 128 134 20 some 7 I select for the difference of the variation 1 2012 that there changes on individual characteristics measured by the fixed job effects difference showed I deciles for each 20 25 the analysis of the top In Exhibit Data for Lucasfilm are limited take The Google and Pixar and report where for these job titles compensation I the annual change quartile did by group data into categories the jobs Adobe was almost 20 at I changes and those with the smallest in the characteristics 7 and 8 extend Exhibits Exhibit 19 As 6.19 Exhibit Defendants 24 18 between I for all firms This in jobs in the top decile than in jobs in the bottom higher for differences is changes the jobs with the largest negative job average compensation compensation level the large differences quartile than in jobs in the bottom all employee summarized in is 35 of Using Adobe as an example the jobs in the top decile increased relative to the Adobe was about 30 the Page12 in annual changes variation average compensation the largest compensation changes compensation 15 show to employee years with percent that there is substantial joblevel in Filed06 21 13 Document440 calculating this Because step Second measure used by when the Intel in years first plotting the change to be 2004 through changes at I Dr least 2011 I Case5 11 cv 02509 LHK job level compensation changes jobs seeing large increases 25 8 extends Exhibit job title compensation in some any given year vary both 2005 wage growth structure requires more than that for all jobs is roughly the average compensation receiving a cold or for went up 40 fact that pay across call jobs were not a minimum changes by 50 routinely increases job one cannot conclude another at that an increase some percent percent other reason more common and in was in a a wage 22 Over somewhat rigid wage in way systematic compensation If for example and only 10 percent for pay for one group caused by an employee shared with group the other for one group than the other implies that the in average changes the increase for one job 21 which simply means that of jobs increased do with whether Rigidity has to same or of annual term But 35 or decreases 2 3 4 and 5 year changes greater over the long term than the short is of magnitude with some smaller increases rather than the sequence longer time frames compensation for the majority Page13 in sign and and others large decreases the time period and looks at relative to Filed06 21 13 Document440 Indeed in pay that increases structure changes substantially the over time rather than remains rigid B Correlation Levels the Variation in that Dr Leamer Finds Job Level Compensation Astounding is 23 Not Explained Imply that Almost All by Class Wide Average Compensation 26 Dr Leamer compensation reached the wrong conclusion structures from He structure provides no means of evaluating makes very 22 I is changes for individual characteristics little difference it appears that he did not consider rigidity of the compensation of say whether a correlation 0.4 is sufficient to somewhat rigid 7 and 8 show changes in the raw data Exhibits compensation for the supposed implies conclude that a compensation structure 21 analysis because his correlation what a particular level of correlation about the rigidity of the Defendants I have also looked at and fixed job effects versions of these Adjusting charts adjusting for individual the characteristics to the results have performed the same analysis for starting years of 2004 and 2006 because the starting year matters somewhat for the average level of change although much less so for the variation in comparable 23 Leamer Dep at 563 815 10 changes and the results are Case5 11 cv 02509 LHK Filed06 21 13 Document440 Page14 35 of classwide Dr Leamer 27 calculates between correlation average compensation24 that range from average hides wide variation be unwarranted even all if 0.60 is It changes means means movements for raw data 20 or only his conclusion correlation would changes and compensation roughly is percent if somewhat across to it there is compensation rigid the class irrespective variation in across individual the Courts structures the Defendants 25 In his is backup The square the Dr Leamer provided is across of the correlation so of the coefficient variance that necessarily title 0.80 This in job level compensation in in at all in does not sharing Dr move would calculates Dr Leamers jobs The wide inference so rigid that compensation through together necessarily excluding in lockstep of compensation Leamer were move which Defendants have job title does not support an estimate of the mean correlation of these result for time such that a in an impact Given the job at issue which measures is 0.57 by firm based I use 0.6 for measures the percentage not the changes we observe variance This shows misguided 11 is on his illustrative of the variance by changes in the classwide average range of variation in compensation root sense salary structures would or the to number of compensation Defendants changes that are explained the square correlation a 0.64 26 necessitate coefficients job title and that remains after compensation of classwide compensation classwide average The average compensation However uses the average similar to the methodology titles would impact to an employee with one job Dr Leamer actually this that employees within employees with entirely different detrimental joblevel a controlling for changes after correlation no economically meaningful of the correlation words no for controlling for the square root of of the total variation there were after of variation job level compensation less than percent remains wide average equals 80 in order to interpret and evaluate the average compensation .62 The amount 1 in means of the variance Given that Defendants data show that or anything close equals percent in the class average class level compensation 26 64 that that the remaining variation 29 of 0.6 between the class wide average in accounting jobs joblevel were equal to his average estimated A correlation findings the class wide average 24 But jobs across between of the true correlations important to understand what a correlation Dr Leamers that correlations This 25 28 the 0.96 to 0.99 across the seven Defendants in the estimated class wide average compensation changes in job level averages and the is .36 in 0.36 Leamers focus purposes joblevel 0.62 in this example measured by the standard why Dr shrinkage deviation which on the degree of Case5 11 cv 02509 LHK e i other employees in entirely different jobs salary Filed06 21 13 Document440 would that any impact Page15 35 of ripple across the entire 27 structure DR LEAMERS IV OF INTERNAL REGRESSION ANALYSIS DOES NOT SHOW THAT FORCES EQUITY COMBINED WITH THE HYPOTHESIZED SOMEWHAT RIGID WAGE STRUCTURE GENERATE CLASS WIDE IMPACT FROM THE CHALLENGED AGREEMENTS Dr Leamer 30 model explains be drawn from his regression as follows effects but could compensation a somewhat also the at come from same time rigid compensation company by company compete to Dr Leamer in one part of the firm be shared with refers to it do so with a regression all model to that operate by revealed as an explanation eg my correlation model which regression to on both forces demonstrate that increased two which an increase in types title increase would corrective action to become closer to its for to or Class He claims to First a form as he Dr Leamer for for other groups for a group that falls behind in one year increases some unspecified 28 ripple in compensation that demonstrates of analysis I examine compensation sharing of compensation find lagged sharing and class the class compensation of title compensation within a particular job in title market forces To confirm the existence other employees in the proposed Technical a contemporaneous which compensation through structure claims sharing class Second he claims example that demonstrates claims to find contemporaneous job title causes variables third for a multiple with other variables Based on this analysis individuals and class compensation could come from sharing of title compensation Correlation the for and conclusions to the rationale one group a other job titles in of catch the following normal up in year level relative to the rest of the class 31 However regression statistical and both of Dr Leamers are entirely fallacies the interpretation of the sign unfounded reflection and inferences regarding significance reversion Order at his theory 36 28 Leamer Supplemental Report 24 footnote omitted emphasis 12 to the of coefficients variables in his regression for purposes of evaluating 27 are unsupported by his His regression model suffers from two well known problem and statistical sharing added mean on that the sharing improper make his and external In combination these Case5 11 cv 02509 LHK two statistical even wrong and his theory is if compensation commits problem in reflection no a Leamer Page16 35 of does the results that he will obtain effect of one individual’s compensation on the and no impact of changes in average compensation for one job ie no for other jobs Dr Leamer Ignores Dr Leamer 32 there is of other employees on average compensation A Dr virtually guarantee that fallacies Filed06 21 13 Document440 the Reflection long recognized concluding sharing Problem error of statistical that the change inference He ignores average class compensation in the causes the coldcall average compensation obtain same the regression in compensation increases The tend If scores test be a positive to will show two Dr shared classmates or transmitted better to tell when she 34 This is which is the student to Dr Leamers is an individual correct the reflection changes compensation coefficient it variable is There will the classmates is a critical classmates are associated in deriving 2 that both the student like that estimated with of classmates and her by why Dr Leamer the fallacy that finding Dr Leamer is does not performs a student commits correlation such as those The between of the class but that compensation from analyses 13 or a 29 merely shows that there conclusions test to distinguish that the achievements of one job title and the average compensation issue average such as the quality of the school or teacher Indeed one does better because she is in a class with A regression problem and his contemporaneous on because both theories could explain the cause of that correlation problem into and her classmates provides no information student or factors classmates for a given 29 This to a between the relationship of the individual terminology in classroom with better students on not reveal 1 that family background coefficient in the positive this result in is of the individuals However by common are influenced more advantageous permit one scores the performance Leamers theories higher performing classmates are would expect or a small group of employees that a higher average score for an individuals alternative Dr Leamer sharing and no propagation of the reflection problem test between relationship higher score for the individual between no one employee illustrate and the average one uses a regression like scores there were if for As a consequence for the rest of the proposed class example to canonical individuals results even in compensation related increase 33 of a job title to increase performed by it does job Dr Leamer Case5 11 cv 02509 LHK increases more normal hardly surprising is outcome 35 by reflection Dr compensation average Leamer problem that attempt for the class as a in this answer As area correlation pitfall by described between in determined by the behavior of group whether group behavior actually almost simultaneous movements when individuals in appear that they are responding even when 36 such common Dr Compensation common factors illustrate group I the fallacy in Dr 30 Charles Leamers in one job F Manski results Economic see Robert A Moffitt Press 2001 Section Policy 3.2.1 sharing and by firm with sum of two the it this can do not Analysis considering of Social in the case in any other job Interactions data is Low Level titles 1 2 job specific etc One can where these jobspecific is no because the no impact sharing jobspecific factors one another influence or simultaneity Interventions by true The of factors skills be as the reflection many job economy etc and in the general will outcomes unjustified types a them30 known up catch simply is his reflection in Moreover property jobs In other words there on compensation of and Understanding mean reversion MIT they are not the statistical solely reveal similar to the problem or reflect changes in the market for individual factors are completely independent across are entirely independent do not some common influences Consider a hypothetical firm level success changes level performance of compensation how about conclusions as follows is explain in each job title is determined factors when pioneered factors are relatively unimportant determinants of individual Leamers import of that analysis movements to at least to each other even Appendix In the Technical problem makes a group are subject is a person and of who or group behavior This reflection problem mirror Does the mirrorimage cause the persons case in the group is itself on outcomes behavior affects individual in this behavior cannot by average behavior data case behavior individual membersHence like those in this F Manski group behavior and individual behaviors of individual of interpreting the Generally Charles Professor This identification problem arises because mean the aggregation interpreting regressions whether group behavior influenced the question groups individual level outcomes influences 35 of all the class wide average whether group level outcomes to identify whole After for the constituent a wellknown is Page17 for all other jobs in the class is larger than even in the absence of sharing joblevel compensation the research itself the average increase essentially the average of the outcomes is The offered when than normal Filed06 21 13 Document440 J Econ 14 an important Equilibria Simultaneity 14 issue Perspectives when 115 evaluating and Social Interactions 2000 policy at 128 interventions in Social Dynamics Case5 11 cv 02509 LHK 37 Now Dr Leamers consider a substitute his variable that measures true determinants of compensation changes no estimated coefficient and the variance technical by on the factors are totally common rather than factors the firm The coefficient on variable independent reflects as is common in the firm has a result a proxy that his factors be will many the measure of common for the and compensation of a for the of the estimate job specific factors when of the particular job title in changes compensation in the the magnitude is variables that are the factors for all the job titles but for the firm effectively serves the change Leamer does in compensation of changes the variance Dr is The consequence firm wide average compensation As to factors that affect both compensation at jobspecific his sharing Appendix in the Technical explain I and impact on the change direct causal average compensation in common in job title specific different job titles contributing the change for the this variable will reflect of the changes reason that dominated jobspecific because 35 of for the rest of the class firm even though by assumption for all the other jobs at the particular job in average compensation job specific compensation Thus for those other jobs have what In essence job titles the change sharing variable contemporaneous Page18 regression which he says demonstrates that there sharing of compensation adjustmentsbetween to Filed06 21 13 Document440 of all other jobs class wide compensation does not measure jobspecific sharing or any causal compensation of a particular job compensation for other jobs factors that influence his results as proof that the change to between relationship in job title Nevertheless compensation is and the Dr Leamer caused by sharing interprets because he fails recognize the reflection problem Dr Leamers 38 the relevance confusion about of external factors compensation for the various was what he can conclude from apparent at this deposition He testified were particularly useful for testing his rigid compensation structure and sharing this is exactly the wrong type a shock of variation common the entire tech industry to test his theory that cold calls shared with or even all that affected or nearly all Technical groups of employees Adobes 31 Deposition all of business at as a Adobe individual as the tech fell whole and when there was a theories bust But to employees would be common Dep at 747 17749 16 15 in a whole and indeed shock the local labor market broadly Leamer and 31 Class employees The fact that compensation for Adobe Edward Leamer June 11 2013 to to evidence that changes 2001 and 2003 during Adobe between job titles at correlation this the many tech bust and then rose when Case5 11 cv 02509 LHK economic improved does conditions employees would ripple out to many affect 39 linkages Furthermore average class cause compensation Dr Leamers change for a job cause the ultimate average some underlying makes no sense of changes in factors that are driven 40 The simple but important the external factors is that there there must process be some cause average and 41 has not identified and in average in the overall that problem must be determined by His analysis cannot reveal whether firm specific factors to be as a or implication must be omitted that initiates of Dr Leamers factors in claims If we accept the deviations in overall the compensation of internal and model Leamers his estimated from his somewhat be no or there can model sharing rigid then compensation average compensation which then are structure it is Dr confounding Once pure faith one admits that such unmeasured to claim as Dr Leamer does that they common Dr Leamers Dr Leamer appearance race Horse Race Is Uninformative does not completely ignore the fact that of sharing simply reflects horse if of the class cannot be reflection components its change of the jobs that comprise error is at the heart of the factors exist but that they are unidentified B even when external between none actually factors that are the exists To common across sharing effects that underlie Leamer Dep at 571 25 573 3 and 597 21598 2 16 common test factors can generate whether his job titles his theory they were the cause of his results would refute his theory 32 of marketplace of the type that he propagated throughout are not groups even because the change which one might define and thus leads to the changes structure of those in average compensation in average compensation Dr Leamer instead adjustment that directly of his average compensation joblevel compensation these underlying factors are internal external Changes logic both the overall by Shocks internal factors that cause changes variables as In a sense this conceptual matter of economic 35 on one group for others of compensation correlation in of directly force that operates changes characterization determined by the changes is a that Page19 at all lagged compensation compensation show not groups would be reflected no there were Filed06 21 13 Document440 32 he claims and Based on sharing the effect to have run a external factors that if this analysis which he Case5 11 cv 02509 LHK by implements t he Dr Leamers 42 simply reinforce common in his case in measured is flawed San common external factors are added to the employment and Jose with the factors rest on firm common In addition the estimated 43 one quarter the If impact of the bias in the estimated a an analyst constructed education and an individuals that education in econometrics unmeasured known common only a portion of the the coefficient of the true impact Appendix on the of the external will For example sharing effect factors that are included common that including Dr of The in the in a from 0.86 to the regression model much as an endogeneity variable will bias coefficients Leamer Supplemental Report external factors which income was on education by problem e one i on both 17 once a function regression which arises maybe most that is correlated the endogenous by of the model suffers from what when some and dependent of income to the individuals this lagged effect rather than Dr Leamers 65 is in the regression will lagged income and therefore part will be captured an endogenous 33 in education contributes factors drive both the independent here lagged income Leamers classic example can be seen in the economics regression education variable itself At a technical level known that capture adding factors that account for 50 percent effect also increases on income the effect of education is revenue lagged income the coefficient understate perhaps dramatically how is show that when measured common factors reduces the estimated again a well known problem in econometrics The problem 33 of its true size This downward of education I for this is in the Appendix that I develop in the Technical only forces His results firm wide average compensation change only slightly the technical explanation coefficient relatively large fraction of the model only a small fraction factors will reflect decline is in general being unmeasured are included while the estimated 0.75 or the external market by showing what happens when this I illustrate factors model sharing variables that the internal sharing just like his methodology Appendix In the Technical some measured variance race indicates than either revenue sharing detectable horse above analysis reported 35 of his errors of interpretation rather than providing informationabout the underlying data factors regression more effects are generally Page20 external factors in the same regression as the two including he concludes that Filed06 21 13 Document440 variables of the It is same well with the omitted factors variable in this case the Case5 11 cv 02509 LHK variable and on the other variables included sharing Filed06 21 13 Document440 in the regression and that controlling for some of these omitted factors does not solve 44 The consequence supports Dr Leamers that is somewhat rigid compensation the uninformative because the horse race between His properties statistical would even when survive even when there is C Dr Leamer Does to the 45 Dr Leamer’s as the regression 35 The large bonus are that such as the tendency for athletes 34 bad If year one Endogeneity causes H Greene Econometric Econometric Models 35 See he He eg suspect that is also notes of this one the ordinary mean the the data any year is of the years are least squares good to ie to another Old Fallacies phenomenon in the Ever Die most common question is 30 biased J Econ fallacy in what gave regression 18 data the perform extremely well may who receives a was a an average of a salesman can be low it year smaller bonus be above third are bad assume average or average and the rest there are three equally and inconsistent See also Robert Forecasts Fourth Edition Chapter is still known Reversion to the year to receive 125,000 then be a and ignores the expected compensation and the salesman earns fallacy one the salesmans compensation 12 Do in 125,000 based on whether or high third who is the average athlete in the following although one that phenomenon and analyst examines the tendency of an individual estimator and Economic the reflects Analysis Sixth Edition Chapter that the regression that In good Milton Friedman s it more like in the following year 100,000 good year Assume when an to some extent temporary at least to or other form of compensation on commission 75,000 medium are important Compensation regress or revert to the mean of the distribution A simple illustration paid was that generates of reversion regression fallacy arises many phenomena or other compensation is external variables he the the underlying process fallacy arises from statistical With employee compensation data who external variables was fixed result that internal sharing that his or extremely poorly in one year to perform 46 his theory relies are Not Take Into Account the Tendency to shocks tendency of such data to exceptionally problem Mean second fallacy series that is subject describes sharing and 34 no sharing Revert mean and does not represent it on which model predetermine that of the added would not matter substantially his 35 case education in this this of horse race that he claims analysis and the structure Page21 S Pindyck likely See for example William and Daniel L Rubinfeld 12 Literature the 2129 statistical analysis its 1992 analysis name Friedman of economic says data that Case5 11 cv 02509 LHK possible changes year one next year compensation 50,000 likely if for next in is compensation year one 47 is year in 50,000 on measured on the The line has slope persist analyst that applied 75,000 and a decline the three outcomes changes the potential no change is in year which this two The process is it compensation 25,000 therefore 25,000 level of compensation for mean the regression line that would the natural variation is result from reflects the fact that the extra compensation but instead from good year and revert will methodology a in one year relative to 25,000 in a bad year year two to the average of in in not is 0.36 An mistakenly conclude from a regression could that the firm is actively Dr Leamers in year one from year one to year two compensation in shows 25,000 is in compensation with the long run average Rather In contrast 25,000 and to year two on catching terminology when in in pay that generates up of compensation the level year one that the firm is constantly adjusting the salesmans compensation level in are equally from year one to year two on the level of compensation 1.0 which Dr Leamers analysis of the change the normal in of demonstrate expected reversion to the scenarios by exhibit in compensation average earned today expected to two axis and the change the horizontal the vertical axis one The first are possibilities plots the data generated regressing the change year 75,000 of 25,000 in of 025,000 50,0003 25,000 is from 100,000 level of 9 compensation of Since by assumption 35 of 125,000 and no change of 100,000 and a decline bad Page22 25,000 and zero and the expected change zero The of compensation of is compensation an average year the three Exhibit measured to and next year year one were a bad year compensation compensation in compensation year over the expected change an expected change is year good next year is average year over the follow year are If year Filed06 21 13 Document440 to keep it in line the salesmans compensation fact the firmplays what appear no active to be systematic to role at all adjustments compensation 36 This example is easily that the state persists with probability 321 p extended p and shift to being When p to allow probability average 13 then we have some temporary component to for persistence p e 1 or the i if times are in compensation bad each with probability same case compensation over time In particular if we assume good this year they will be good the next year with discussed the regression 19 1p2 above coefficient then the regression no persistence will be As long negative coefficient as p1 will be ie there is Case5 11 cv 02509 LHK 48 At affected to acknowledge bonuses methodology 38 However make or A firm that sense compensation adjusting even of the strong stock was no sharing estimated avoided sharing 39 pressures catch generated all In such an example the sharing at result from the firms words In other Of course compensation Dr Leamers especially model internal makes no his theory gets it and for internal equity up effect in data would is pay adjustment in base a form then Dr Leamers when compensation Dr Leamer effect that to use decision with generate to sharing The compensation mean He bonuses and stock grants to increase and bonuses rather than through grants would instead the to 37 that Dr Leamers why explains to lagged sharing or reversion not a problem for internal equity does not vindicate without succumbing individuals employees compensation can avoid all it his conclusions sensible but instead some for one time through were true 35 of Plaintiffs claims respond to the pressures if this appear that there was a large it 49 mean was in supporting uses less visible forms of compensation regression because there that firms could Page23 and stock grants which are less visible and so might not be as likely concerns make claimed that reversion to the interpretation of his analysis or its relevance appeared equity Dr Leamer his deposition Filed06 21 13 Document440 adjusted even if claims he has of compensation that completely backwards bonuses and stock grants has transitory components incentivebased for reasons unrelated pay40 that subject based on a measure is or an individuals internal equity to or groups many random to Firms use bonuses and stock grants to provide of performance to firm profits contribution and factors strongly in subsequent years 41 is or revenues performance exceptional This such as individual reflected or group performance But human performance often will not recur in the salesman example I gave is or recur as above In that onetime 37 38 39 Leamer Dep at 634 3635 6 Leamer Dep at 690 5691 22 Dr Leamers stock results 40 41 Susan E Jackson At his deposition this are regression and bonuses may be caused by randomness in many factors a Managing Dr Leamer compensation pay is that determine coin it undercompensation estimates Therefore even the types of al et When is incorrect like flipping or conduct grants compensation based Dr Leamer that Human Resources stated that he that believed create regression on performance performance based one were to accept if Eleventh that there to the beyond the skill to performance and thus pay which includes regression those would not be 11 measurement Leamer Dep at random elements level of the individual error or 642 12 643 10 of simply means there are many factors other than the measurable group that contribute conduct admits might not be shared Edition Chapter mean there will be on total compensation the results of his However pay due to the fact that there Of course productivity this is not random of the individual and that such factors will vary over time For example 20 the Case5 11 cv 02509 LHK case we in pay 50 mean absent any concerns over will observe reversion to the Thus Dr Leamers conclusion which corrective of the data action because he is data is generated the lagged sharing company the at of 35 internal equity any rigidity by a measures variable 42 taken fails Page24 the firm other than to pay for performance Defendants that on and that the coefficient relationship by and any conscious action structure Filed06 21 13 Document440 is unjustified to take into account the empirical It the extent a reflects sharing causal to misinterpretation regularity of reversion to the mean 51 rely heavily Plaintiffs somewhat year43 compensation rigid Dr Leamers cannot explain But claim their well established namely on this lagged sharing claims structure finding a very simple in the labor and econometrics that reversion mean the to is literature44 or trying to equalize but overlooked compensation infer a causal by lower values and low that high values of a time series are followed and sharing their Motion that in I a subsequent for this finding one that is explanation simply rely on the mistaken belief that one can Plaintiffs they claim in by Dr expected in job level compensation data sharing increases because firms are In particular their gains for some are shared with others that there is is false term as evidence for Leamer This is not changes across firm relationship values from the fact are followed by higher values 52 a Thus somewhat Dr Leamer rigid compensation something very different and this batting 42 volatility averages between skill In Re of individual players Employee 8 2013 August Chang Hwan Kim and Measurement Errors Solon New Evidence Economy 54 data mean on compensation growth by long run title in compensation volatility says across jobs mean and even teams exhibit strong reversion see for example imperfect in the data with evidence of to the Nate Silver mean because the relationship The Signal and The Noise 2012 26 Antitrust Litigation Motion Christopher Among substantial in reversion to the results and outcomes is highly High Tech Certification is reversion to the The structure There Leamer Supplemental Report 43 44 confuses predictable Black at R Tamborini and White on Real Wage Plaintiffs Supplemental Motion and Brief in Support of Class 24 Do Survey Data Estimate Male Coworkers Social Forces Cyclicality within Employer Employee 2007 21 Earnings Inequality 2012 Donggyun Matches Scottish Correctly Shin and Gary Journal of Political Case5 11 cv 02509 LHK D Shows Empirical Evidence Filed06 21 13 Document440 that Dr Leamers Regression Page25 35 of Results do not Reflect the Causality Required by his Theory to Support Plaintiffs Claims of Class Wide Impact Dr Leamer 53 action from corrective at each structure forces measured change in changes forces and of internal equity He Defendant I misnamed demonstrate that the now use other data where sharing effect is an or artifact MSA by outside demonstrates that the influences such as sharing forces of market of external Jose San in the for a job title within a firm is not driven market compensation up catch somewhat rigid compensation a also claims that the relative unimportance by information sector employment compensation in sharing and claims that his regression identified impacts of Dr Leamers are not present to regression specification 1 The Same 54 to The Causality False fallacy of Dr Leamers wage and employment Found is inference data for the overall is with Another Compensation Dataset demonstrated by applying his regression model US economy In these data compensation cannot be driven by the force of internal equity combined with a rigid compensation structure within a firm 2001 I to use data on individuals 2010 economy ACS 45 from the American Community Surveys to calculate average annual compensation jobs such as computer software for the period for hundreds of occupations applications engineers in the farmers and ranchers US and occupationlevel paralegals and legal assistants compensation US 46 The ACS dedicated database is drawn population for obtained real 2000 census ACS is an Dr from Series as the population samples containing 46 Like Dr Leamer ACS are more including IPUMS USA worker than by substituting annual compensation for average for average firm revenue per The of Use Microdata Series which Public data https usa ipumsorgusa more than fifty a project about of the American high precision U S Census Bureau population use sample consisting of of 2000 2011 exclude the given occupation 372,000 person records Public 22 of US average The use samples 0.4 ACS datasets https usa ipums org usa acs shtml from the calculation the and housing characteristics person records per sample The 2005 onward records a project The Integrated that has replaced even larger The 2001 2004 samples each represent approximately person is his samples of the American Community Surveys and from the American ACS is public 1,000,000 employee Thus my regression employment sector Integrated consists censuses 1in750 more than 2,800,000 I US average information key source of information approximately regression Leamer claims determine average jobtitle compensation IPUMS USA from fifteen federal from the 2001 onward GDP per San Jose https usa ipumsorgusa action faq decennial Dr Leamers and distributing United States census to collecting Use Microdata Public US both the factors that replicates 45 employment total replicate job title compensation for class wide compensation and I compensation of the are full 1 Case5 11 cv 02509 LHK sharing and weaker up catch on influence Exhibit exhibit shows coefficient specification impact variable up catch 56 I Exhibit from size an analogue 2001 2010 Dr Leamers this I regressions up catch means I of rank ACS data in total estimates occupations and unrelated by much data As the Dr Leamers he finds For the effect lagged effect or only 0.41 overall his regression in using Defendants average real and group them into deciles of roughly ACS in the data over this using the across ACS data the deciles data than the ones Dr Leamers view of and catch up between and employers than there industries to their from regressions that there is greater sharing up than regression The US employment through in contemporaneous the find that in almost all cases interpreted ACS using the decile based regressions effects are stronger using the Thus on US occupations in the catch 1.32 compared Dr Leamers period the coefficient using Defendants data operates of estimate Dr Leamers estimate in terms of their fraction 11 compares sharing and to only 0.72 in a anything they show a stronger If sharing and of or have that are analogous to variables average coefficient an analysis where during the same results with those I obtain variables directions has a coefficient variable performed earnings the the weighted In addition as data causal 1.09 compared is on estimates 35 of firmrevenue and external factors are similar to those he finds in his regression whole data as a Dr Leamers 10 compares the supposed in Page26 variables and the factors that he claims do not affect average job title compensation 55 Filed06 21 13 Document440 is how period and those the estimated Dr Leamer finds the marketplace extremely diverse technical for jobs within an employer 57 These results which use national data for widely disparate jobs across industries and firms strongly suggest that Dr in short that his results likely are spurious the reflection problem and reversion to the Leamers The through 58 Dr Leamers A variety correlated common factors internal equity and level expect to be there when US economy rigid compensation influences such as the overall performance While the findings that theory is discarded would cause average compensation 23 what he claims compensation are senseless viewed they are not surprising with average compensation for the hypothesized Common of economic theory are not capturing kinds of logical interpretation is that they suffer from mean that we from running his regression on national occupation results all as a whole in one occupation but to be Dr Leamers structures are not among those factors of the economy will cause average Case5 11 cv 02509 LHK compensation for most occupations no more demonstrates this relative to paralegals than move to in a that compensation common way for farmers is can be concluded it Filed06 21 13 Document440 that Dr Page27 economy with the aggregate up catching Leamers 35 of But fairness to preserve demonstrate regressions Catchup fairness and causation 2 A Regression from the to Defendants data the Model that Explains the Change Difference between Dr Leamers 59 within how mean easy to get results Chicago specification I where I ignoring analyst ignores examine changes the a nearby city a changes under study The first explanatory variable 12 shows the results and the right panel presents specification including just by mirrorthose presented Given example to Dr Leamer how the positive lower Chicagos The horse race for variables the for is results To Model catch up coefficient the second left from two Leamers eg city and the city contemporaneous catch up effect variable 1 shows variables results for Chicago estimates Not from a simple surprisingly on both his regression he the temperature in Dr reference city panel presents variable implies the conclusions eg Chicago cities Leamers estimates illustrate variables the results are positive would conclude that that there is corrective Milwaukee when for action yesterdays warmer than normal common in the next the year as explanatory The The reversion daily temperature for the reference analogous to his interprets similar results temperature and increase is illustrated is sharing and on Dr analogous to Milwaukee The between is of this analysis Dr Leamer effect of adding months of results coefficient temperature in Chicago 61 variable two the temperature of the in b prior days temperature difference the second on In keeping with in daily temperature in one of the and Exhibit Illustrates problem and and how wrong basic statistics I use data Milwaukee sharing variable and reflection Dr Leamer by live and Milwaukee using as explanatory variables 60 as Temperatures using labor market compensation data like those presented drawn when an that can be cities are not limited to regressions is it Chicago Temperature Misleading Conclusions The misleading conclusions caused by the in Chicago and Milwaukee factor variables two columns and thus running the Model 2 includes variables and does not contain agree with intuition as can 24 be seen from Dr Leamertype only indicator the coefficient variables sharing or estimates catch on the up Case5 11 cv 02509 LHK month variables temperaturebegins to indicator and then begins to 62 rise the sensible monthly 3 column coefficients on measurement two conclusions of the year reflect catch their on up sharing or catch sense up month in and regression correlation effects internal equity 64 is at In their He characterizes odds with sound results reflect for why They claim demonstrates that 47 In Re High Tech instead my that changes call would Plaintiffs in a broad of individual that Dr 48 at a to in Chicago Milwaukee temperature the same pattern of sharing to explain somewhat or Dr effects of related time series with sharing generated rigid wage by concerns about structure but his the explanation I provided in market with highly individualized as information received Report the evidence that I provided Expert Report of Professor Kevin 25 adjustments through a cold regression analysis in his Supplemental 24 my Defendants employees compensation unsupportable Yet Antitrust Litigation and idiosyncratic of regressions dispute employees such Leamers is labor 2012 Motion come thus practice the data are consistent with speculation Employee properties that enforce Motion for Reconsideration for unique circumstances 48 policies common as evidence of econometric being determined by competition call predictable his results and compensation report47 previous for because based on the lag of temperature in Milwaukee the daily temperature in Chicago Leamer confuses wellknown and inference and Conclusion using other data on related time series that have both causal variables of the year would Dr Leamer effects with month 2 on temperature Instead effects Dr Leamer variables the effects that one would find in national level labor market data a regression analysis changes the fall from Model 1 and This happens actual by what common both of which contrary to Dr Leamers 63 longer pattern is confounded temperaturecan be explained by E no sharing and lagged contemporaneous month in every variables of the monthly gone the explanatory variables in every temperature decreases month combine Chicago temperature increases Milwaukee that for I estimates to the 35 of rapidly through declines Instead coefficient pattern is would seem suggest August in fall Page28 February Model In the next Now in Filed06 21 13 Document440 M Murphy above November 12 Case5 11 cv 02509 LHK my previous like that in empirical findings compensation is but the impact calling V on Dr Leamers other employees is limited IS Dr Leamer Technical not spread to the entire and indeed expected results are fully consistent if a reduction in structure way 49 or that there is any appears to argue that Plaintiffs have would permit the boundary that 66 Dr Leamers that as I located opinions all correlative defined the class technical qualify as evidence has not established and compensation provided wide impact While agreements Dr Leamer has no that large portions What matters the proposed Technical it is possible basis on which in determining correlation Leamer Supplemental Report Leamer Supplemental Report spread across all that there a evaluated in their proposed of 11 26 any causal relationship with other would be some some forces other employees in by the challenged for a class as large of linkage between and diverse different groups as such or nearly all the groups included in the mattered for understanding 10 50 or at to identify the scope of such influence common impact Class is not the average extent if be In other right to employees of the proposed class are not unaffected as job titles but that the linkages proposed class Even just 50 about the composition of the proposed class have no merit given that affect one job title response to a cold call from the in the country within a company that would cause adjustment of compensation or to conclude that there are relationships of that proposed class to jobs that could demonstrated above his empirical job titles let alone a class identify and exclude to based on a lack of these positive class no matter where calls way titles empirically no basis for including cold evidence to suggest find persuasive whose compensation might have been disconnected from Defendants somewhat Dr Leamer a do es not claims that he Class job minimum in 49 during a cold call revealed and does employee in which ESTABLISH THAT THE PROPOSED TECHNICAL PROPERLY DEFINED rigid compensation between such as information factors Dr Leamers DR LEAMER DOES NOT sizeable groups words individual of a broad labor market 35 of would not have class wide impact CLASS 65 by Page29 my conclusion from disproving far are consistent with the existence of such events proposed class cold report shows that affected Filed06 21 13 Document440 whether some kind of causal Case5 11 cv 02509 LHK Filed06 21 13 Document440 groups the average relationship existed between informative about whether would have Page30 to be high for all or nearly all groups in the proposed class claims correlation certain all 35 would not be level of correlation those groups belong in the same class Rather the correlation were informative which itself of it is again if Dr Leamer as not VI DR LEAMERS CONDUCT REGRESSION REMAINS UNINFORMATIVE 67 Dr Leamers 68 First the Court noted that variables besides employees To Conduct Regression in his next these common common the extent report Defendants models that I offered in conduct effect for overwhelmed 51 52 53 54 all the acknowledged my original Defendants 53 data Defendant Report Order fn requiring across the accuracy of the is encouraged to include do so His argument to including inclusion of Defendant additional suggestion specific leaves 52 at his deposition report to demonstrate measured variables specific value that he wrongly assumed a common had he did not comment on the more parsimonious model that conduct effects Defendant includes In any unknown what method he and he claimed that the model that he had critiqued However that that he responded only to one of the which included fewer explanatory variables but which also offered Original Dr Leamer any were feasible to do so given that these factors will to respond to the Courts failure Dr Leamer Second of separate thereby improve by as to whether for correlations did not take the opportunity if it uninformative be used to demonstrate that his Conduct Regression has any probative thinks could I Dr Leamer may factors all can be taken into account simply Dr Leamers 69 to control the need for clustering obviate 51 it report is slightly ambiguous there are other variables that factors is simply wrong even differ across event Dr Leamers revenue should have been included Conduct Regression and them suffers from errors that render specific 54 My second model Appendix 11 conduct measures by measurement still permitted interacting of my the conduct 15 Leamer Dep at 770 25 771 13 Leamer Dep at 770 19 23 When your asked reply Leamer Dep he recalled if declaration at any reason Dr why you Leamer responded didn’t offer a criticism of that Presumably 771 613 27 because I didn’t second approach by have comments to Dr Murphy make about it in Case5 11 cv 02509 LHK variable with each defendant I Document440 reduced the number of explanatory interactions with age and hiring rate added very the estimated did not comment undercompensation on showed effects little that Dr Leamers Table negative Leamer had no 1 and 2 correlations basis to with the estimates a variables by common the regression between I of indicating 35 not including explained the My the sign of that employees were overcompensated at low certain Defendants Adobe This Dr impact across Defendants that there are on results in the size and even Report which show in average total compensation common to but instead assume in his Supplemental one cannot simply assume power large variation Lucasfilm and Pixar were not undercompensated indicates Page31 and conduct and hiring rate because as between Dr Leamer conduct and age interactions which Filed06 21 13 or even also show that impact across Defendants Kevin M Murphy June 28 21 2013 Case5 11 cv 02509 LHK Filed06 21 13 Document440 Page32 35 of TECHNICAL APPENDIX MODELLING THE REFLECTION PROBLEM 1 model In order to mathematically analysis and thereby why illustrate the reflection problem his conclusions in the context are unjustified with J jobs each of which has an equal number of employees 1 common determined by two types of factors general market for individual sum of Thus two these where At wjt factors I of job j I level performance factors by in each job is in changes the in for each job is determined A and firm the job specific factors the by by the e given by is ejt of the common factors in year t and ejt reflects job specific factors year assume and thus there t wjt in year group Leamers a hypothetical Compensation that compensation common consider Dr firm level success changes factors factors assume I denote the At reflects the influence for job j in that 2 etc skills compensation 1 2 job specific economy etc and I of job specific that the no is factors are independent sharing Transforming equation of uncorrelated with one another 1 into year over year changes yields for job j 2 w w jt jt The change w A A 1 t t e 1 w jt A 1 jt t A t this 1 Now the researcher claims 4 1 jt w with the change compensation it j is given by 1 j the true process in that determines compensation common and job specific analysis analogous to that performed a regression wants to use these data to understand whether there The type w it i of changes the contributions consider e e 1 2 and 3 describe model namely 4 for jobs other than job J Equations 1 jt in average compensation 3 3 e jt jt of regression 1 in w model jt compensation w jt specified 1 Dr Leamer modeled to be Dr Leamer sharing of in which the type he is by the changes 29 in explained in factors jt for one job of all other jobs rather than by is by changes by the change common and job specific in factors Case5 11 cv 02509 LHK the data that generate change in compensation the average show then is straight forward to It Filed06 21 13 Document440 in of 35 on that the regression coefficient 4 will be given equation Page33 the by 2 5 A 1 2 2 A e 1 J where is 2A changes 5 in job specific the 5 has Equation this of the changes the variance common in the growth case average compensation is that when factors because out The denominator in equation class wide average compensation while the variance 2 5 shows variables because of if that the importance the contribution 25 jobs there are 25 1 24 outcome number the variance is in in of jobs job level the idiosyncratic 5 of changes a large variable of the change job level compensation in is e Equation example of the 2 A the variance is the average by averaging over obtained common the resulting average largely will reflect 6 e factors the important implication factors will tend to average 2 and factors be picked up by and job specific of factors that affect to by an even variable if in the class wide factors is amplified by factors is reduced then the contribution attributed change compensation common This means that the change common proxy for the of job specific of 1 J1 1 factors is reduced in average compensation firm wide compensation analyst using the factor a factor variable effectively common These Dr Leamers by approach they are a small part of what drives For serves a factors will the average joblevel compensation 6 This proxy effect can be factors account for only the firm of variance factors is equal to 5 implies equation Thus fraction percent of in joblevel wage that change 2A 2A we would variable and even though by construction changes individual in compensation job have Dr Leamers no and there effect methodology e and there are 25 equally sized jobs variation compensation which changes accounted common is no that 2A e of factors account for only on compensation at all e changes i in other jobs 11 424 20 percent by the these conditions 0.86 on the of overall in compensation by construction that the compensation 30 Under for in job level and average compensation between sharing would conclude 4 2 implies expect a regression coefficient a correlation example where common a simple considering job level 2 common average The 20 by illustrated structure for an an analyst using displays Case5 11 cv 02509 LHK astounding correlation purposes of evaluating shared is reason 7 Dr Leamer the influence of common R 1 R is a 1 on w w hand A jt Now J a 1 it the result i assume j factors factors Then I on the in less than 50 percent common and the common of the factor effect the regression without factors in the to common greatly of 0.83 understate components of the versus 0.86 without controls variable equal to only about one sixth of its actual size 7 and Estimated Coefficient on Common Factors now denote everything of each other e 1 versus 0.86 of its true size causing the researcher sharing coefficient in a 1 J of the For example adding factors that explain 20 percent common A t common one half coefficient jt w However sharing theory becomes of 0.75 regression coefficient side is independent 1 that his results reflected some measured common of the variable e t jt there are the regression that explain to factors that explain For simplicity of notation the right change with his raise R2 of the variance theory 1 of Equation Derivation could be harmed by some jobs Importantly the estimated would and a coefficient and thus no 2 even smaller changes factors sharing e implies Adding for 2 A variable influence common fraction would be only one fourth regression generates this the firmpossibly at 35 A one adds variables R2 0.50 employees wrong Assume that J the control its 2 2 2 7 ie or even the average compensation 1 If all of average compensation in of the fact that there is zero actual by running a horse factors that these variables capture 8 class of of the change percent Page34 and most egregiously importantly claims that he was able to reject an alternative shows why he on spite some individuals that affect coefficient claims that 86 Plaintiffs an entire putative actions my model somewhat rigid and most is This would be true in why Filed06 21 13 Document440 it i j that 31 in changes Consider also that everything on Case5 11 cv 02509 LHK Xt At Regress u jt w w X to on jt u These are get residuals e t jt 1 e t it J Now orthogonal to variable and wjt u jt Filed06 21 13 ut X is observed w Document440 run 1 OLS i j to get 2 u 1 2 u By J 2 1 e definition 21 R2 2 u A This yields 2 A 2 A R 1 1 R 2 1 2 J To w get the coefficient w jt jt 1 2 e 1 on X we X u t regress e e t jt it J on 1 i j X This gives a coefficient of 1 versus the true coefficient 32 of 1 Page35 of 35 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page1 of 21 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page2 of 21 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page3 of 21 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page4 of 21 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page5 of 21 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page6 of 21 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page7 of 21 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page8 of 21 Case5 11 cv 02509 LHK Document440 1 Filed06 21 13 Page9 of 21 Case5 11cv 02509LHK Document440 1 Filed0621 13 Page10 of 21 Case5 11cv 02509LHK Document440 1 Filed0621 13 Page11 of 21 Case5 11cv 02509LHK Document440 1 Filed0621 13 Page12 of 21 Case5 11cv 02509LHK Document440 1 Exhibit There Are Large Differences in Filed0621 13 Page13 of 21 4 Compensation Changes Between the Employees with the Lowest Changes and Those with the Highest Percent Deviation from Mean Compensation Change Employer Bottom Decile Bottom Quartile Top Quartile Top Decile 29 Intel Intuit 19 29 44 11 16 47 11 17 45 Google 19 72 17 24 Adobe 25 25 78 19 26 10 42 9 Lucasfilm Pixar 6 5 Notes 1 Data shown are percent deviations from the average tenure gender and job change for the employer and year after adjusting for title 2 Percent deviations shown are averages within each decile or quartile 3 Analysis is based on 2006 2011 data for Lucasfilm and 2001 2011 data for other defendants 4 Deciles and quartiles are based on the share of employee years at each defendant Source Dr Leamer’s backup data and materials age Case5 11cv 02509LHK Document440 1 Filed0621 13 Page14 of 21 Case5 11cv 02509LHK Document440 1 Exhibit There Are Large Differences in Filed0621 13 Page15 of 21 6 the Changes in Average Compensation Between Jobs with the Lowest Changes and Those with the Highest Percent Deviation from Mean Change in Job Average Employer Bottom Decile Bottom Quartile Top Top Decile Quartile Adobe 15 9 10 16 Google 29 19 16 29 13 14 13 23 6 Intel 14 14 27 Intuit Lucasfilm Pixar 5 8 8 4 8 9 14 7 Notes 1 Data shown are percent deviations from the and year after adjusting for mean change age tenure gender and weighted by employees all Dr Leamer’s backup data and materials job averages job title 2 Percent deviations shown are averages within each decile or quartile 3 Analysis is based on 2006 2011 data for Lucasfilm and 2001 2011 data for 4 Deciles and quartiles are based on the share of employee weighted job years Source in at other defendants each defendant for the employer Case5 11cv 02509LHK Document440 1 Filed0621 13 Page16 of 21 Case5 11cv 02509LHK Document440 1 Filed0621 13 Page17 of 21 Case5 11cv 02509LHK Document440 1 Filed0621 13 Page18 of 21 Case5 11 cv 02509 LHK Document440 1 Exhibit Dr Leamer’sRegression Model Does Not A Panel Number of Job Dependent Filed06 21 13 Sharing or Catch Panel Lagged RD Title Contemporaneous Dlog 0.72 Lagged Avg Annual Total Comp 1 Avg Annual Total Compensation 0.41 Title Notes Source Panel Per Employee Information Sector Coefficient estimates A is shown based on Leamer American Community Surveys Integrated US Real Public GDP 1 Variable Effect Log U S 1 1 Avg Annual Wage are weighted ACS 2001 2010 of 1 and 2 Occupation 0.20 averages across regressions Supplemental Report Exhibits US Department Real 0.12 Employment Use Microdata SeriesVersion GDPC1 1.09 1 1.32 External Forces Variables Avg Annual Total Compensation DLog San Jose Estimate Variable U S Average Annual Wage Occupation External Forces Variables Log Firm Revenue Effect Log U S Avg Annual Wage 1 ACS Average Annual Wage Coefficient Variable Average Annual Total Compensation Data 465 Estimate Variable Effect Log Effect US Economy Wide Variable DLog Occupation Coefficient Up between Jobs U S Occupations DLog Title Average Annual Total Compensation RD Leamer Model Using Dependent Variable DLog B Number of 889 Titles Contemporaneous 21 of 10 Establish Leamer Model Using Defendants Data Page19 DLog U S for all job titles Panel B is Machine readable Commerce Bureau of Worker Avg Annual Wage Total 1 1 0.14 Employment 0.03 based on data from the following public sources database Minneapolis Economic per or occupations Steven Ruggles J Trent Alexander Katie Genadek 5.0 GDP Analysis Ronald Goeken Matthew University of US Total Employment Minnesota 2010 LNU02000000 B Schroeder Matthew Sobek httpsusa ipumsorg U S Department of Labor Bureau of Labor Statistics Case5 11 cv 02509 LHK Document440 Filed06 21 13 1 Page20 of 21 Exhibit 11 Dr Leamer’s Decile Based Regressions Do Not Establish Sharing or CatchUp between Panel A Leamer Model Using Defendants Data Regression Coefficient Contemporaneous Catch Decile Sharing External Up Firm Panel B Leamer Model Using Estimates Variable 1 Revenue US Economy Wide Regression Coefficient Variable External 2 Contemporaneous Catch Decile San Jose IT Employment Sharing Up External Jobs Data Estimates Variable 1 US GDP External Variable 0.60 0.37 0.27 0.19 1 1.36 1.54 0.48 0.10 2 0.55 0.28 0.09 0.07 2 0.94 1.12 0.36 0.28 3 0.71 0.40 0.18 0.13 3 0.85 0.85 0.12 0.36 4 0.58 0.20 0.01 0.05 4 1.18 1.74 0.34 0.16 5 0.73 0.24 0.04 0.04 5 0.86 1.35 0.21 0.00 6 0.66 0.36 0.12 0.36 6 0.81 0.62 0.10 0.25 7 0.75 0.33 0.02 0.07 7 0.84 1.16 0.19 0.17 8 0.71 0.36 0.29 0.52 8 1.02 0.91 0.15 0.31 9 0.85 0.47 0.15 0.18 9 1.56 0.37 0.36 0.57 10 1.13 0.04 0.61 0.37 10 0.57 0.92 0.54 0.02 Average 0.73 0.31 0.07 0.12 Average 1.00 1.06 0.04 0.11 Estimates shown using in Panel US occupation’s A are weighted overall average real Source Panel A is based on Dr Leamer’s backup American Community Surveys Integrated Public US Real GDP Use Microdata GDPC1 averages across defendants materials Panel for Leamer Supplemental B are defined according to a similar methodology as Report Figures 9 to Steven Ruggles J Trent Alexander Series Version 5.0 of in Dr Leamer’s decile based analyses wage and employment ACS 2001 2010 US Department Deciles Machine readable database Commerce Bureau of Economic Katie Genadek Minneapolis Analysis US 12 Total Panel B Ronald University is based on data from the Goeken Matthew of Minnesota following B Schroeder public Matthew sources Sobek 2010 https usaipumsorg Employment LNU02000000 US Department of Labor Bureau of Labor Statistics 2 US Employment 1 Notes ACS Case5 11cv 02509 LHK Document440 1 Filed0621 13 Page21 of 21 Exhibit 12 Dr Leamer’s Interpretation of His Regression Results Explained by Sharing or Catch Would Imply that Up with Milwaukee Chicago and Milwaukee Daily Temperature Data Dependent Variable Change in Chicago Temperature Model 1 Variable Model 2 Coefficient Change in Milwaukee Temperature Lagged Difference in Temperature Changes in Chicago Temperature Can be Temperature and Vice Versa January 1995 to May 2013 Dependent Variable Change in Milwaukee Temperature Model 3 Variable Model 1 Estimates Model 2 Coefficient 0.94 0.93 Change 0.48 0.56 Lagged Difference Milwaukee minus Chicago in Chicago Temperature in Temperature Model 3 Estimates 0.94 0.95 0.46 0.54 Chicago minus Milwaukee January 0.20 0.64 January 0.19 0.64 February 0.27 0.91 February 0.25 0.85 March 0.45 1.51 March 0.34 1.42 April 0.28 1.96 April 0.27 1.86 May 0.37 2.20 May 0.37 2.08 June 0.19 1.76 June 0.26 1.67 July 0.11 1.38 July 0.11 1.32 August 0.17 0.99 August 0.19 0.98 September 0.40 0.77 September 0.38 0.79 October 0.30 0.69 October 0.31 0.70 November 0.43 0.68 November 0.44 0.70 December 0.20 0.55 December 0.18 0.56 Yes No No Yes No No 0.89 0.00 0.89 0.88 0.00 0.89 6,633 6,692 6,633 6,633 6,637 6,633 Constant RSquared Number Source of Observations http academic udayton edu kissock http Weather citylistUS htm Constant R Squared Number of Observations Case5 11cv 02509LHK Document440 2 Filed0621 13 Appendix A Page1 of 112 Case5 11cv 02509LHK Dr Leamers in individual example Does not Show Evidence Materials Dr Leamer Lack submitted with his compensation At paragraph 63 of of Variation earlier Dr Filed0621 13 2 Page2 in Individual Report Dr 112 Compensation reports further demonstrate Leamers Reply of the variation Dr Leamer Leamers cites an of Attached as Exhibit showing compensation and over Document440 1 are tables with data as provided same 28 job titles for these Intel in backup materials employees and 4 Apple employees time Page 1 provides 2007 to increases 2011 The columns on Page Intel show the employees for the year dollar and percentage this period and the bottom base salaries each year and the ranges them the total compensation 2011 The maximum compensation for each of the columns on the each employee during total this far 3 provides 2007 to right 28 show including Intel bonuses and base salaries employees for the years 2007 to the increases in total compensation for period and the bottom rows show the compensation Page Pages 28 employee during minimum and maximum 2 provides equity the far right in base salary for each rows show the between the base salaries for each of the each year and the corresponding the job titles of each of the 28 Intel minimum and ranges employees in each year from 2011 4 6 provide this Leamers Reply Report same data for the for the years 4 Apple employees 2008 to 2011 referenced in Dr Case5 11cv 02509LHK Attached as Exhibit employees changed 2 Document440 are charts showing 2 Filed0621 13 graphically over time 2 how Page3 of the compensation 112 of these Case5 11cv 02509LHK Document440 2 Filed0621 13 Exhibit 1 Page4 of 112 Case5 11cv 02509LHK Document440 2 Filed0621 13 Page5 of 112 Base Salary Growth of 28 Similarly Situated Intel Employees Case5 11cv 02509LHK Document440 2 Filed0621 13 Page6 of 112 Total Compensation Growth of 28 SimilarlySituated Intel Employees Case5 11cv 02509LHK Document440 2 Filed0621 13 Page7 of 112 Job Progressions of 28 Similarly Situated Intel Employees Case5 11cv 02509LHK Document440 2 Filed0621 13 Page8 of 112 Base Salary Growth of 4 Similarly Situated Apple Employees 2008 Apple Base Employee 2008 2008 Salary 2009 2010 2011 to Dollars Employee 1 Employee 2 Employee 3 Employee 4 Minimum Maximum Dollar Range Dollar Range Note The Percentage Dollar Range Percentage is calculated as the difference between Sources Dr Leamer’s backup data Dr Leamer’s Reply Report at 64 the logs of the maximum and minimum 2011 Growth Percent Case5 11cv 02509LHK Document440 Compensation Growth of 4 Total 2 Filed0621 13 Page9 of 112 Similarly Situated Apple Employees 2008 Apple Total Compensation Employee 2008 2009 2010 2008 2011 to Dollars Employee 1 Employee 2 Employee 3 Employee 4 Minimum Maximum Dollar Range Dollar Range Note The Percentage Dollar Range Percentage is calculated as the difference between Sources Dr Leamer’s backup data Dr Leamer’s Reply Report at 64 the logs of the maximum and minimum 2011 Growth Percent Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page10 of 112 Job Progressions of 4 Similarly Situated Apple Employees 2008 Apple Job Employee 2008 2009 Employee 1 Employee 2 Employee 3 Employee 4 Sources Dr Leamer’s backup data Dr Leamer’s Reply Report at 64 Title and Grade 2010 2011 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Exhibit 2 Page11 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page12 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page13 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page14 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page15 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2001 ADOBE 152 16 2002 ADOBE 121 9 2003 ADOBE 113 3 2004 ADOBE 122 13 2005 ADOBE 188 6 2006 ADOBE 158 14 2007 ADOBE 214 9 2008 ADOBE 219 10 2009 ADOBE 256 2010 ADOBE 244 7 6 2001 ADOBE 155 16 2002 ADOBE 130 5 2003 ADOBE 121 2 2004 ADOBE 127 11 2005 ADOBE 171 7 2006 ADOBE 174 15 2007 ADOBE 204 2008 ADOBE 235 2009 ADOBE 252 2010 ADOBE 262 2005 ADOBE 35 2006 ADOBE 26 2007 ADOBE 33 2008 ADOBE 32 2009 ADOBE 33 2010 ADOBE 33 2001 ADOBE 33 2002 ADOBE 31 62 21 14 2003 ADOBE 27 1 2004 ADOBE 30 16 2005 ADOBE 35 4 2006 ADOBE 39 23 2007 ADOBE 34 3 5 9 5 6 25 22 29 17 7 Minimum 57 30 31 21 22 18 39 48 35 30 66 34 28 19 32 28 36 60 62 48 28 24 49 44 57 7 51 13 23 25th Percentile Percentile 41 21 20 13 13 13 27 30 21 23 43 26 22 13 14 15 27 30 25 28 27 7 30 30 57 25 19 11 28 15 1 15 Maximum 13 32 14 37 33 46 38 16 37 33 28 32 23 33 33 55 35 14 32 32 89 71 74 51 57 35 93 64 4 14 9 20 16 25 24 0 1 7 5 14 12 28 19 7 5 1 4 19 3 11 5 5 1 7 18 4 1 0 5 18 0 Percentile 4 1 11 6 8 6 Percentile 11 19 46 5 Median 95th 18 10 17 17 33 33 31 9 75th 3 10 9 4 8 6 15 3 6 12 17 15 24 17 5 10 5 7 7 6 14 20 32 7 15 52 23 12 1 11 16 7 8 6 25 1 1 3 14 15 45 33 47 26 14 72 17 22 11 24 12 35 9 221 59 33 57 48 64 46 35 43 80 258 77 36 47 48 112 82 89 158 179 53 80 157 176 49 23 33 37 59 29 72 52 24 36 50 70 30 8 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page16 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 13 10 2008 ADOBE 40 2009 ADOBE 37 2010 ADOBE 28 2005 ADOBE 25 4 5 2006 ADOBE 25 12 2009 ADOBE 30 6 2010 ADOBE 30 21 2009 ADOBE 25 2010 ADOBE 29 2010 ADOBE 28 2001 ADOBE 34 2002 ADOBE 29 8 2005 ADOBE 32 13 2008 ADOBE 27 2010 ADOBE 29 2001 ADOBE 28 2002 ADOBE 30 2003 ADOBE 39 2004 ADOBE 57 10 16 2005 ADOBE 49 8 2006 ADOBE 52 21 2007 ADOBE 58 8 2008 ADOBE 68 10 2009 ADOBE 65 2 2010 ADOBE 51 2001 ADOBE 25 2004 ADOBE 31 2005 ADOBE 55 2006 ADOBE 58 2007 ADOBE 68 2008 ADOBE 67 2009 ADOBE 64 2 2010 ADOBE 72 33 4 34 30 27 5 24 26 8 34 26 8 8 16 12 10 Minimum 31 11 12 19 10 20 33 53 20 30 60 42 20 27 25 51 40 17 25 16 25th Percentile Percentile 28 9 10 9 6 17 16 52 18 28 53 38 6 22 24 50 32 14 4 11 9 6 29 39 35 16 53 14 34 46 15 41 55 23 11 33 19 16 50 13 18 9 13 30 19 1 18 3 1 3 6 9 4 13 28 6 43 23 1 13 10 40 21 2 5 3 7 2 25 75th Median 95th Percentile Percentile 9 4 1 7 1 9 17 12 18 37 25 35 26 25 51 25 68 75 12 29 40 29 57 40 26 48 37 12 3 29 0 38 32 25 12 12 10 28 24 12 9 10 5 16 5 15 7 8 9 33 7 43 46 19 10 26 1 35 20 9 24 18 12 29 15 9 4 1 8 29 46 36 30 40 25 14 12 26 18 2 3 7 2 9 4 14 6 12 9 3 6 7 27 31 37 20 Maximum 6 26 33 59 49 65 32 27 23 54 9 27 57 51 50 105 63 31 79 110 14 30 41 39 58 7 26 46 130 63 104 62 138 57 59 125 28 97 56 1 217 137 43 73 108 56 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page17 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25th Percentile Percentile 75th Median 24 32 9 4 31 19 29 19 14 14 18 2 ADOBE 29 2008 ADOBE 27 15 15 ADOBE 29 4 2001 ADOBE 32 20 2002 ADOBE 26 2001 ADOBE 80 2002 ADOBE 62 2003 ADOBE 53 4 17 29 17 35 15 38 13 25 26 2009 18 31 18 36 15 56 18 31 1 8 6 14 3 7 9 2004 ADOBE 44 15 2005 ADOBE 66 3 2006 ADOBE 59 14 2007 ADOBE 91 4 2008 ADOBE 109 13 2009 ADOBE 158 2010 ADOBE 144 2003 ADOBE 26 2005 ADOBE 35 2006 ADOBE 33 2007 ADOBE 35 2008 ADOBE 38 2009 ADOBE 38 2010 ADOBE 41 2005 ADOBE 31 2006 ADOBE 35 2007 ADOBE 43 2008 ADOBE 37 14 20 15 28 14 20 42 22 16 15 11 2009 ADOBE 32 5 2010 ADOBE 30 24 2005 ADOBE 26 7 2005 ADOBE 28 2008 ADOBE 25 2005 ADOBE 25 2006 ADOBE 2007 8 18 12 1 3 5 8 5 20 12 35 37 38 29 33 23 27 16 35 57 47 18 8 31 33 24 23 15 18 17 11 33 57 33 7 9 6 3 26 27 26 23 18 22 26 18 19 9 12 12 9 2 3 5 23 22 95th Percentile Percentile Maximum 40 54 78 1 8 48 40 31 26 51 57 32 16 34 7 3 25 26 11 65 25 40 53 65 67 34 57 44 58 7 29 24 9 7 3 19 10 11 17 15 11 15 10 10 4 2 16 8 1 12 21 12 24 18 2 24 7 1 7 16 27 17 11 7 4 4 2 14 12 11 15 38 20 6 6 4 18 2 5 3 32 12 19 47 17 16 14 13 0 4 11 28 5 3 3 15 11 28 27 29 40 43 5 55 38 23 27 7 11 43 10 0 5 52 15 32 35 38 40 19 31 24 43 76 55 57 131 135 158 78 136 24 41 135 196 58 41 45 15 34 56 16 63 49 53 16 38 59 94 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page18 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2006 ADOBE 27 25 2007 ADOBE 31 9 2008 ADOBE 46 2009 ADOBE 44 2010 ADOBE 42 5 7 2001 ADOBE 28 24 2002 ADOBE 37 2003 ADOBE 44 2004 ADOBE 40 2005 ADOBE 41 2 2006 ADOBE 35 24 2007 ADOBE 48 8 2008 ADOBE 63 11 2009 ADOBE 64 2010 ADOBE 48 9 7 2006 ADOBE 26 28 2007 ADOBE 29 2008 ADOBE 39 2009 ADOBE 39 0 0 1 2010 ADOBE 42 18 2006 ADOBE 26 1 2001 ADOBE 25 2002 ADOBE 31 2003 ADOBE 32 3 2004 ADOBE 39 12 2005 ADOBE 45 3 2006 ADOBE 50 20 2007 ADOBE 52 1 2008 ADOBE 48 8 2009 ADOBE 51 11 2010 ADOBE 49 6 2001 ADOBE 135 18 2002 ADOBE 139 7 4 8 11 10 9 3 Minimum 12 29 27 54 17 69 49 18 15 23 25th Percentile Percentile 0 12 13 26 25 13 52 44 11 11 20 9 2 24 41 21 68 13 36 21 48 67 18 50 45 24 20 32 13 24 26 50 54 49 42 10 27 14 14 7 33 21 47 35 16 50 35 9 14 14 1 20 19 10 31 46 27 5 75th 95th Median Percentile Percentile Maximum 23 40 19 47 52 25 41 34 55 54 8 5 4 6 8 8 0 35 22 29 16 12 12 14 10 17 15 19 3 6 7 9 9 1 6 14 20 32 16 4 3 3 0 9 6 7 5 16 11 13 25 15 11 45 18 3 8 8 6 6 5 7 4 36 22 21 6 4 11 22 6 7 5 36 21 8 6 147 7 15 10 11 17 30 67 39 28 18 1 2 74 70 51 33 38 58 11 6 138 44 17 30 37 42 23 18 11 26 0 109 71 67 77 18 14 9 39 35 61 19 74 43 9 139 5 5 8 13 7 116 17 13 2 32 29 26 45 59 42 42 46 16 33 51 28 49 65 114 5 3 3 8 167 8 4 6 102 39 11 143 84 94 233 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page19 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2003 ADOBE 152 1 2004 ADOBE 166 13 2005 ADOBE 175 1 2006 ADOBE 218 14 2007 ADOBE 212 6 2008 ADOBE 220 2009 ADOBE 219 2010 ADOBE 203 9 2 2001 ADOBE 31 21 2003 ADOBE 27 2004 ADOBE 26 2005 ADOBE 39 2006 ADOBE 42 2007 ADOBE 57 2008 ADOBE 67 14 12 11 13 2009 ADOBE 60 8 2010 ADOBE 73 2005 ADOBE 25 2006 ADOBE 31 2007 ADOBE 32 2008 ADOBE 32 2009 ADOBE 30 2001 ADOBE 35 2001 ADOBE 125 2002 ADOBE 112 2003 ADOBE 95 4 2004 ADOBE 83 13 2005 ADOBE 123 6 2006 ADOBE 110 11 2007 ADOBE 96 7 2008 ADOBE 89 12 2009 ADOBE 65 2010 ADOBE 39 8 5 9 31 11 1 7 7 11 14 15 12 8 6 Minimum 61 37 39 56 32 37 71 59 51 51 25th Percentile Percentile 28 17 23 12 21 31 15 27 46 21 3 1 23 22 24 35 22 31 16 15 15 24 18 19 19 29 16 22 16 13 11 20 9 9 35 40 25 37 33 27 16 32 37 23 26 35 34 20 24 17 20 8 26 33 18 23 10 3 8 1 4 75th 95th Percentile Percentile Maximum 1 5 14 20 21 37 27 47 37 14 40 29 183 122 136 Median 2 5 14 4 25 15 1 7 7 4 15 33 24 3 2 4 1 2 10 10 12 18 16 15 31 20 23 22 17 4 3 6 19 35 12 39 19 18 5 5 3 10 6 5 9 9 3 7 5 3 8 3 108 42 26 64 46 58 42 12 28 21 61 40 44 17 47 69 31 16 33 33 7 2 5 9 13 23 24 13 17 10 10 21 2 11 1 7 8 0 0 14 17 12 3 0 5 6 8 9 5 78 97 80 83 48 7 4 3 9 23 16 21 18 45 14 38 37 38 37 13 13 27 30 2 8 6 144 111 31 19 36 4 33 9 53 58 25 52 45 49 70 13 53 32 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page20 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page21 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page22 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page23 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page24 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page25 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page26 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page27 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page28 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page29 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page30 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page31 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page32 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page33 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page34 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page35 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 25th Percentile Percentile Median 9 3 0 4 4 7 53 50 21 33 41 43 12 15 19 10 18 10 13 17 4 7 5 12 17 4 4 3 6 10 22 13 13 39 49 18 26 12 27 43 13 18 15 20 11 11 11 41 11 22 15 14 9 2 3 14 16 2 3 7 2 23 13 12 15 20 7 9 1 2 0 9 8 4 3 1 7 1 3 13 17 Minimum 2009 INTEL 163 8 2010 INTEL 169 17 2001 INTEL 82 2002 INTEL 93 2003 INTEL 87 2004 INTEL 90 5 2005 INTEL 113 17 2006 INTEL 121 6 2007 INTEL 129 14 2008 INTEL 163 2009 INTEL 163 5 7 2010 INTEL 170 14 2001 INTEL 49 2002 INTEL 50 2003 INTEL 57 2004 INTEL 64 6 2005 INTEL 66 17 2006 INTEL 82 3 2007 INTEL 93 19 2008 INTEL 102 2009 INTEL 99 8 3 2010 INTEL 112 16 8 2002 INTEL 69 1 1 11 2003 INTEL 40 12 2004 INTEL 29 2 13 13 13 2005 INTEL 34 10 2006 INTEL 30 8 2002 INTEL 170 4 2003 INTEL 149 12 2004 INTEL 123 0 2005 INTEL 130 2006 INTEL 100 2007 INTEL 71 4 14 20 2 11 25 10 10 12 5 23 8 1 22 9 1 3 4 4 8 0 4 4 6 3 4 21 15 3 10 5 7 1 1 8 3 3 3 0 2 9 75th 95th Percentile Percentile Maximum 11 22 2 20 32 49 3 31 52 86 48 22 36 0 6 139 13 21 11 18 13 11 18 8 4 11 19 5 30 16 27 17 21 26 49 22 17 71 27 49 40 24 52 61 59 26 123 137 5 7 7 9 6 2 13 20 3 9 6 8 9 7 46 15 48 25 18 28 11 23 5 9 16 13 23 23 13 23 5 0 11 16 1 3 9 10 16 16 19 25 24 24 9 8 9 82 54 65 46 27 54 19 30 13 24 25 22 41 26 38 49 33 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page36 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 2008 INTEL 60 2 2009 INTEL 62 12 2010 INTEL 48 8 2002 INTEL 242 7 2003 INTEL 210 11 2004 INTEL 207 2005 INTEL 221 2006 INTEL 229 2007 INTEL 185 2008 INTEL 161 2009 INTEL 158 2010 INTEL 144 2002 INTEL 159 8 2003 INTEL 180 11 2004 INTEL 183 2005 INTEL 177 2006 INTEL 194 7 4 2007 INTEL 176 11 11 19 2008 INTEL 172 2009 INTEL 166 2010 INTEL 170 5 5 7 2002 INTEL 43 8 7 5 6 2003 INTEL 41 11 2004 INTEL 41 43 10 46 2005 INTEL 33 2006 INTEL 49 8 0 2007 INTEL 51 12 2008 INTEL 71 2009 INTEL 64 2010 INTEL 66 2004 INTEL 75 2005 INTEL 103 2006 INTEL 76 4 7 5 9 4 6 7 3 6 7 4 5 2 9 9 25th Percentile Percentile 5 8 1 3 1 1 1 7 4 31 21 13 7 4 27 11 19 10 11 13 7 7 38 23 17 9 5 4 2 5 7 3 1 6 0 1 4 26 16 3 6 2 5 0 6 7 3 1 8 1 1 4 36 14 12 3 6 4 4 3 7 16 1 0 25 22 4 12 11 6 3 6 3 1 19 16 6 6 1 4 7 10 5 4 9 2 0 3 6 3 2 75th 95th Median Percentile Percentile 2 4 9 10 6 18 10 24 21 9 17 27 5 4 8 4 6 5 11 11 10 7 3 17 20 19 15 18 20 11 17 26 4 5 2 0 7 10 11 15 9 9 9 16 20 21 14 15 16 17 28 7 0 11 13 15 13 19 16 19 19 16 13 12 19 21 6 5 5 5 5 7 12 5 6 4 5 2 8 8 2 1 9 13 8 8 3 3 6 8 7 3 15 16 6 7 8 4 9 Maximum 22 30 23 34 42 32 25 35 27 29 24 30 52 98 19 54 42 28 20 25 31 29 30 11 29 31 21 29 24 20 17 24 26 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page37 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 14 2007 INTEL 34 2004 INTEL 60 2005 INTEL 118 2006 INTEL 132 0 8 7 2007 INTEL 91 10 2008 INTEL 74 0 2009 INTEL 60 10 2010 INTEL 56 9 2004 INTEL 65 2005 INTEL 127 2006 INTEL 124 2007 INTEL 103 2008 INTEL 95 2009 INTEL 77 2010 INTEL 62 2004 INTEL 33 2005 INTEL 45 2006 INTEL 2007 4 9 4 9 3 6 5 Minimum 1 10 6 8 2 9 2 2 13 7 18 4 25th Percentile Percentile 2 8 2 3 2 5 2 1 11 0 7 2 2 5 5 6 3 13 57 9 3 14 INTEL 60 10 INTEL 64 2009 INTEL 59 2010 INTEL 63 4 7 6 0 2008 27 14 47 0 2005 INTEL 33 10 2006 INTEL 34 2007 INTEL 25 2009 INTEL 26 2010 INTEL 25 4 9 8 4 5 4 4 2005 INTEL 56 10 2006 INTEL 59 4 2007 INTEL 60 12 2008 INTEL 55 2009 INTEL 57 2010 INTEL 52 4 9 7 11 12 4 11 2 2 4 6 9 0 22 1 3 1 6 6 3 2 9 2 1 2 2 5 5 5 1 2 7 3 3 1 6 2 7 3 6 3 1 6 0 2 3 8 4 1 6 2 2 4 5 1 5 5 3 5 1 8 1 4 4 75th 95th Median Percentile Percentile Maximum 16 20 1 2 25 13 22 21 22 29 21 31 28 27 7 5 8 0 9 4 14 12 12 3 6 12 15 25 24 28 30 7 3 7 4 6 4 11 28 15 19 8 3 12 10 13 34 21 27 15 23 17 13 31 22 21 15 94 17 28 25 26 22 14 39 27 23 14 27 17 4 3 5 6 5 8 2 9 7 4 7 2 11 4 9 5 0 6 12 6 6 9 10 16 16 12 23 16 18 12 16 13 28 22 22 18 10 31 17 23 12 20 16 9 3 6 8 10 7 16 9 14 11 6 13 9 17 7 13 10 9 9 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page38 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 12 2007 INTEL 28 2008 INTEL 36 2009 INTEL 37 2010 INTEL 51 2001 INTEL 34 2001 INTEL 125 2002 INTEL 2003 INTEL 2004 INTEL 75 1 2005 INTEL 77 11 2006 INTEL 41 9 2010 INTEL 26 13 2001 INTEL 126 2002 INTEL 141 5 7 2003 INTEL 141 10 2004 INTEL 147 2005 INTEL 106 2006 INTEL 57 8 7 2007 INTEL 42 12 2008 INTEL 30 2009 INTEL 31 2010 INTEL 32 2001 INTEL 204 2002 INTEL 209 2003 INTEL 215 2004 INTEL 227 3 2005 INTEL 180 11 2006 INTEL 78 6 2007 INTEL 51 14 2008 INTEL 52 2009 INTEL 50 2010 INTEL 43 2001 INTEL 170 Minimum 25th Percentile Percentile 9 4 1 7 7 2 14 19 23 11 14 19 5 3 9 1 3 4 9 9 9 8 5 5 3 6 20 22 13 13 5 6 7 2 0 14 117 4 93 15 6 2 18 11 2 3 7 9 6 10 12 4 8 8 6 5 7 0 26 35 10 18 10 9 3 11 4 0 44 40 20 31 10 7 5 1 6 4 12 1 3 4 2 1 1 25 37 13 15 1 4 6 3 6 5 1 2 46 28 10 5 5 3 3 7 0 2 4 13 17 7 8 5 1 10 75th 95th Median Percentile Percentile Maximum 13 4 5 7 2 16 10 10 10 10 3 4 7 2 13 20 10 16 16 21 26 17 22 24 44 45 22 57 29 27 35 30 37 18 32 20 35 25 34 12 24 50 59 64 98 46 43 30 28 15 24 31 59 9 7 1 20 16 15 21 27 26 14 29 22 24 32 28 18 10 16 23 3 2 8 11 11 11 16 1 7 10 7 6 4 1 6 9 0 21 19 25 12 21 21 22 10 11 18 30 16 11 17 27 22 26 14 18 21 40 2 7 6 4 10 4 13 1 3 2 3 8 6 15 11 6 8 11 4 1 7 11 14 0 8 8 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page39 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 11 13 2002 INTEL 200 2003 INTEL 189 2004 INTEL 182 4 2005 INTEL 93 10 2006 INTEL 46 2 2007 INTEL 31 13 2008 INTEL 34 2009 INTEL 36 2010 INTEL 35 2001 INTEL 83 2002 INTEL 101 2003 INTEL 112 2004 INTEL 117 6 2005 INTEL 44 16 2001 INTEL 46 2002 INTEL 29 2001 INTEL 143 2002 INTEL 128 3 2003 INTEL 95 13 2004 INTEL 80 2 2005 INTEL 156 2006 INTEL 174 2007 INTEL 123 17 16 18 2008 INTEL 103 4 2009 INTEL 125 2010 INTEL 84 19 18 2001 INTEL 702 1 2002 INTEL 683 3 2003 INTEL 622 13 2004 INTEL 559 1 2005 INTEL 681 2006 INTEL 728 2007 INTEL 739 6 6 6 9 12 14 9 9 1 14 11 13 Minimum 64 19 23 11 12 25th Percentile Percentile 38 18 14 8 8 6 3 6 1 7 1 9 7 0 6 47 55 30 40 10 75th Median 11 12 95th Percentile Percentile Maximum 3 9 47 17 100 8 7 26 10 19 14 22 15 16 15 24 19 30 5 1 10 14 0 14 6 16 10 2 2 2 6 6 5 40 43 21 17 14 20 10 10 12 16 1 2 9 8 5 1 33 52 11 18 15 21 13 12 15 21 56 58 22 21 15 12 6 1 0 6 9 7 8 8 2 4 7 4 15 19 1 4 1 6 11 12 12 8 2 0 4 20 19 32 27 13 16 14 17 14 12 10 7 9 11 2 10 1 2 3 9 7 4 9 5 7 5 7 1 9 6 1 7 4 1 3 2 6 15 16 18 4 4 7 24 22 23 6 23 24 10 2 12 18 1 5 13 10 11 21 16 19 8 6 54 18 81 16 11 26 17 30 29 31 16 27 30 25 12 26 12 30 26 27 52 49 25 32 21 30 21 40 38 79 14 64 85 82 29 68 45 21 42 34 41 19 35 42 73 35 42 31 43 39 43 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page40 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2 2008 INTEL 722 2009 INTEL 818 2010 INTEL 801 2001 INTEL 666 2002 INTEL 738 5 7 2003 INTEL 815 11 2004 INTEL 839 3 2005 INTEL 958 11 2006 INTEL 898 8 2007 INTEL 839 11 2008 INTEL 859 2009 INTEL 884 2010 INTEL 956 2001 INTEL 760 2002 INTEL 832 5 8 2003 INTEL 913 12 2004 INTEL 945 3 2005 INTEL 1,113 12 2006 INTEL 1,157 6 2007 INTEL 1,233 13 2008 INTEL 1,226 2009 INTEL 1,254 2010 INTEL 1,298 2001 INTEL 612 2002 INTEL 669 2003 INTEL 730 2004 INTEL 776 4 2005 INTEL 851 12 2006 INTEL 889 4 2007 INTEL 925 14 2008 INTEL 965 2009 INTEL 967 2010 INTEL 1,067 16 15 3 8 8 4 8 8 6 11 13 5 6 8 Minimum 11 13 2 38 49 21 19 10 19 7 13 7 8 56 49 24 35 10 25 18 15 15 13 53 58 35 41 21 49 20 24 20 98 25th 75th 95th Percentile Percentile Median Percentile Percentile Maximum 5 2 2 1 5 11 16 15 21 22 19 22 12 13 8 7 1 17 27 34 15 10 16 25 27 50 46 67 46 87 40 38 43 44 30 41 48 75 45 5 5 11 2 3 1 5 1 0 24 35 12 13 1 5 4 5 1 1 28 41 11 15 0 8 3 7 3 0 7 6 7 6 3 6 0 4 4 1 4 0 7 10 15 12 14 23 20 21 12 18 17 24 10 28 7 10 3 8 7 6 11 11 1 7 7 7 1 9 0 4 4 8 7 11 18 11 17 10 16 15 19 10 10 13 20 5 11 13 14 8 8 7 1 10 1 1 4 8 3 5 12 4 8 7 2 13 5 6 7 2 1 9 105 47 75 69 65 27 39 42 76 69 28 20 25 14 19 19 32 10 31 0 9 125 16 26 18 27 17 19 18 55 83 80 87 41 44 49 8 11 11 0 4 8 17 10 10 11 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page41 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 5 2001 INTEL 355 2002 INTEL 387 2003 INTEL 445 2004 INTEL 459 4 2005 INTEL 464 15 2006 INTEL 524 2 2007 INTEL 566 16 2008 INTEL 612 2009 INTEL 616 2010 INTEL 641 2005 INTEL 31 2005 INTEL 48 2006 INTEL 52 2007 INTEL 45 2008 INTEL 51 2009 INTEL 38 3 9 4 7 2010 INTEL 36 11 2004 INTEL 35 0 2005 INTEL 96 13 2006 INTEL 98 4 2007 INTEL 85 12 2008 INTEL 81 2009 INTEL 68 2010 INTEL 75 4 5 8 2005 INTEL 39 15 2006 INTEL 39 1 2007 INTEL 46 14 2008 INTEL 55 2009 INTEL 51 6 3 2010 INTEL 56 10 2008 INTEL 28 9 2010 INTEL 26 13 2001 INTEL 35 11 15 9 3 11 15 14 3 Minimum 48 50 35 45 32 32 29 25 24 10 5 3 12 25th Percentile Percentile 33 42 20 16 2 14 3 6 9 2 2 2 10 4 4 9 3 4 4 3 1 10 10 7 12 5 4 2 8 5 1 5 1 23 17 15 14 19 4 4 1 6 3 3 3 15 20 9 8 8 4 11 4 2 8 5 8 2 6 1 2 3 5 9 0 7 0 2 4 8 3 10 1 5 5 2 5 2 1 4 7 9 24 21 12 4 75th Median 9 95th Percentile Percentile Maximum 0 42 30 34 119 5 12 15 22 4 1 8 13 18 41 27 33 22 17 23 37 37 17 17 14 23 32 19 22 15 24 11 15 22 44 45 23 13 11 29 18 24 27 0 15 8 2 11 12 12 2 9 4 7 5 20 14 8 14 26 19 9 14 8 10 11 17 2 4 13 16 4 10 4 4 6 11 0 15 6 3 6 9 8 15 8 9 10 16 5 18 10 6 11 13 13 15 9 5 95 158 71 101 94 87 61 51 52 48 47 20 18 16 26 35 24 61 32 53 17 17 30 67 52 50 17 11 40 21 36 41 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page42 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2002 INTEL 30 4 2001 INTEL 33 12 2002 INTEL 34 2003 INTEL 30 2004 INTEL 27 8 2 2005 INTEL 34 10 2006 INTEL 34 2007 INTEL 34 3 4 2005 INTEL 32 10 2006 INTEL 29 2 2004 INTEL 27 1 2005 INTEL 38 10 2006 INTEL 45 2 2007 INTEL 44 11 2008 INTEL 40 2009 INTEL 32 2010 INTEL 38 2002 INTEL 25 4 2003 INTEL 33 13 2004 INTEL 31 2001 INTEL 32 2002 INTEL 27 2003 INTEL 31 2004 INTEL 27 2008 INTEL 25 2009 INTEL 25 2002 INTEL 25 2002 INTEL 36 2003 INTEL 36 2004 INTEL 32 2 2003 INTEL 25 15 2004 INTEL 29 1 2001 INTEL 341 7 5 6 7 4 5 11 12 4 5 5 7 17 11 5 Minimum 26 26 24 21 10 12 12 54 8 8 10 1 9 4 25th Percentile Percentile 16 26 20 19 8 5 8 54 0 5 9 0 6 5 1 3 5 1 2 19 19 10 6 3 14 24 42 13 23 42 4 0 15 13 9 4 4 3 34 39 19 31 18 31 62 27 38 17 14 17 30 46 13 16 13 6 1 2 4 2 6 2 6 6 2 7 1 0 4 8 8 8 12 16 7 8 2 2 15 32 4 8 8 8 17 75th 95th Percentile Percentile Maximum 4 4 11 13 12 10 Median 7 0 9 0 9 17 8 2 8 10 12 14 1 6 0 10 12 2 2 10 5 6 7 7 17 4 14 9 10 10 0 3 21 14 28 44 25 20 13 12 19 10 20 16 17 19 5 1 6 11 19 5 9 0 27 14 12 10 10 15 27 3 1 4 5 3 0 8 9 15 10 22 4 2 10 20 10 6 4 11 2 6 1 5 4 13 14 10 1 5 27 16 46 59 25 36 18 35 39 16 20 26 17 19 9 30 20 61 6 40 7 35 11 14 16 21 41 89 38 100 109 25 67 150 5 54 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page43 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25th Percentile Percentile 65 41 60 368 11 30 10 21 3 INTEL 374 2 8 2007 INTEL 380 2008 INTEL 369 19 11 2009 INTEL 344 0 38 29 31 30 2010 INTEL 358 14 5 28 22 17 15 2001 INTEL 119 2002 INTEL 129 2003 INTEL 130 10 36 2004 INTEL 133 9 61 67 50 53 2005 INTEL 143 31 2006 INTEL 133 3 2007 INTEL 144 2008 INTEL 145 2009 INTEL 147 2010 INTEL 143 2003 INTEL 28 2004 INTEL 25 2005 INTEL 26 13 52 12 53 2006 INTEL 33 9 2007 INTEL 31 2008 INTEL 26 2009 INTEL 25 6 2005 INTEL 32 14 2006 INTEL 26 9 2010 INTEL 36 10 2001 INTEL 207 2002 INTEL 201 3 6 2003 INTEL 193 12 2004 INTEL 193 2002 INTEL 341 2003 INTEL 387 2004 INTEL 392 2005 INTEL 2006 5 25 14 4 28 18 2 52 31 50 4 44 58 39 51 4 4 32 27 31 34 11 42 57 12 41 21 18 25 28 17 21 23 0 39 57 15 37 18 14 24 Percentile Maximum 6 52 30 145 100 345 5 71 59 73 32 15 26 76 58 5 1 22 9 3 5 12 18 11 24 18 1 4 11 22 26 13 13 13 13 14 14 22 17 35 158 4 1 19 9 1 16 23 15 31 11 35 27 13 7 3 11 28 17 13 86 52 84 47 25 27 109 175 3 6 3 9 20 23 18 22 11 11 18 10 0 3 7 49 41 27 31 41 35 13 14 11 8 6 13 19 Percentile 13 2 8 Median 95th 23 13 13 10 0 2 2 2 75th 2 8 86 86 105 97 74 89 77 118 113 259 116 260 78 109 64 67 97 183 6 2 19 19 24 77 113 7 5 33 17 42 30 14 9 9 17 14 17 9 4 4 2 12 18 81 91 40 13 21 22 19 44 15 28 241 239 3 2 6 0 9 97 62 15 47 27 20 80 57 44 13 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page44 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2005 INTEL 269 16 2006 INTEL 208 9 2007 INTEL 181 16 2008 INTEL 139 2009 INTEL 168 2010 INTEL 158 2001 INTEL 411 2002 INTEL 425 6 9 2003 INTEL 468 14 2004 INTEL 462 4 2005 INTEL 545 15 2006 INTEL 450 3 2007 INTEL 394 15 2008 INTEL 399 2009 INTEL 413 2010 INTEL 451 2001 INTEL 521 2002 INTEL 527 2003 INTEL 549 2004 INTEL 553 5 2005 INTEL 645 15 2006 INTEL 564 2 2007 INTEL 534 17 2008 INTEL 532 2009 INTEL 526 2010 INTEL 559 2005 INTEL 82 2006 INTEL 93 4 2007 INTEL 107 18 2008 INTEL 90 2009 INTEL 85 2010 INTEL 95 2005 INTEL 27 3 9 9 5 5 8 6 10 17 8 3 11 24 9 1 13 38 25th Percentile Percentile 6 5 10 11 13 18 6 2 7 10 14 Minimum 4 6 6 5 0 1 0 5 5 52 52 32 43 13 27 21 21 17 10 48 59 32 43 26 41 25 23 16 73 23 39 15 15 5 13 2 11 1 7 5 0 28 42 19 15 1 19 9 8 9 2 3 3 32 44 29 20 28 21 21 12 5 7 5 8 75th 95th Median Percentile Percentile Maximum 15 20 12 20 0 31 25 30 13 19 20 23 20 4 1 32 12 18 36 18 30 16 18 19 30 26 40 73 64 70 16 24 26 85 61 91 51 79 87 65 41 33 54 99 73 3 9 8 11 7 9 7 8 1 14 11 14 2 7 13 13 2 8 2 1 4 6 5 6 19 10 10 12 15 19 10 10 11 17 4 9 7 5 5 1 11 16 1 5 12 15 20 14 2 2 8 9 7 11 5 5 9 17 8 2 10 15 0 23 7 14 25 1 6 18 12 26 19 1 6 13 26 17 68 9 7 8 52 36 40 23 15 23 78 60 72 28 17 24 85 169 63 92 115 104 46 46 57 107 77 88 34 26 37 96 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page45 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 7 2006 INTEL 31 2007 INTEL 32 2008 INTEL 27 38 11 2009 INTEL 26 4 2005 INTEL 49 17 2006 INTEL 37 8 2007 INTEL 42 15 2008 INTEL 40 2009 INTEL 42 2010 INTEL 40 2005 INTEL 125 10 17 2006 INTEL 117 8 2007 INTEL 126 16 2008 INTEL 120 2009 INTEL 123 2010 INTEL 119 2004 INTEL 34 6 2005 INTEL 149 14 2006 INTEL 151 5 2007 INTEL 163 18 2008 INTEL 162 2009 INTEL 155 9 2 2010 INTEL 184 13 2001 INTEL 112 1 2001 INTEL 113 2001 INTEL 88 2001 INTEL 33 2005 INTEL 31 18 16 2006 INTEL 30 4 2005 INTEL 59 13 2006 INTEL 68 3 2007 INTEL 71 2008 INTEL 53 5 7 5 6 9 9 3 Minimum 35 16 23 23 25th Percentile Percentile 35 8 23 20 75th 95th Percentile Percentile Maximum 21 36 21 17 22 14 18 65 82 127 141 9 47 31 27 18 26 12 17 22 55 51 28 16 17 21 16 38 41 59 21 14 28 24 64 54 59 22 27 14 22 24 74 63 49 31 25 44 16 82 68 85 30 34 75 34 5 4 32 52 18 15 13 20 1 9 37 18 37 29 26 20 43 23 89 39 39 49 Median 9 1 17 29 7 9 2 9 2 4 5 2 0 5 5 12 12 6 3 7 11 14 21 11 19 13 8 2 41 12 27 25 24 15 2 2 1 1 3 2 6 3 1 38 2 17 13 7 8 2 5 17 24 26 48 13 22 24 45 2 12 6 7 5 1 10 13 18 20 7 6 9 4 1 2 6 9 1 13 2 2 5 9 8 2 14 5 2 9 7 14 13 21 12 1 5 3 7 2 16 6 6 8 5 6 8 10 14 18 11 20 10 10 12 12 16 10 14 4 16 5 2 19 10 1 11 0 11 3 9 1 13 6 1 9 23 14 6 16 4 9 14 6 18 13 7 9 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page46 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2009 INTEL 52 2010 INTEL 47 5 5 2005 INTEL 32 16 2006 INTEL 36 0 2007 INTEL 37 18 2008 INTEL 49 2009 INTEL 46 2010 INTEL 50 2006 INTEL 26 2006 INTEL 29 9 3 9 8 4 2007 INTEL 29 12 2008 INTEL 30 2009 INTEL 31 2010 INTEL 33 5 8 8 2001 INTEL 35 28 2002 INTEL 28 2003 INTEL 27 2004 INTEL 25 2005 INTEL 35 48 18 40 2006 INTEL 28 4 2001 INTEL 58 25 2002 INTEL 46 1 2003 INTEL 38 25 2004 INTEL 47 5 2005 INTEL 50 2006 INTEL 46 2007 INTEL 64 2008 INTEL 46 2009 INTEL 47 2010 INTEL 46 2001 INTEL 132 2002 INTEL 80 0 0 2003 INTEL 40 13 1 33 15 52 0 28 11 Minimum 25th Percentile Percentile 5 3 8 4 1 3 20 13 1 17 11 1 1 5 1 8 5 0 16 25 19 1 7 22 69 17 12 2 2 24 13 13 16 5 11 95th Median Percentile Percentile Maximum 4 4 9 6 11 17 1 3 16 22 15 17 14 54 14 50 22 15 17 19 17 23 23 18 18 66 23 22 18 88 68 61 38 20 19 22 33 28 24 23 28 99 38 1 1 7 1 1 9 3 9 7 3 10 11 6 0 3 4 7 30 14 10 13 10 41 22 23 12 28 5 9 34 123 123 89 92 147 91 52 33 42 12 148 102 3 8 2 1 5 7 6 0 1 1 14 20 13 14 9 1 19 23 29 10 17 6 7 14 14 12 14 4 1 2 9 7 75th 4 6 7 7 9 12 14 8 2 6 23 16 18 10 23 25 42 13 30 9 8 28 34 5 3 28 29 2 4 21 19 32 22 18 36 7 25 14 46 124 136 10 62 130 175 132 100 5 3 2 6 20 22 8 7 7 7 25 10 1 1 5 4 14 19 86 13 16 13 24 8 85 68 42 44 82 27 21 31 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page47 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2004 INTEL 56 2 2005 INTEL 84 15 2006 INTEL 59 9 2007 INTEL 28 15 2008 INTEL 26 2001 INTEL 233 2002 INTEL 185 1 2003 INTEL 161 10 2004 INTEL 156 1 2005 INTEL 149 10 2006 INTEL 141 7 2007 INTEL 105 14 2008 INTEL 94 1 2009 INTEL 89 2010 INTEL 80 2001 INTEL 256 2002 INTEL 219 7 8 2003 INTEL 204 11 2004 INTEL 199 2 2005 INTEL 184 10 2006 INTEL 174 5 2007 INTEL 131 11 2008 INTEL 123 2009 INTEL 112 2010 INTEL 90 2001 INTEL 259 2002 INTEL 229 7 9 2003 INTEL 181 13 2004 INTEL 189 1 2005 INTEL 193 11 2006 INTEL 194 5 2007 INTEL 182 14 2008 INTEL 162 4 1 0 12 12 3 8 7 Minimum 9 5 5 2 5 27 25 12 13 4 10 13 9 1 2 37 41 24 29 9 8 3 12 5 5 47 43 26 29 19 11 1 15 25th Percentile Percentile 8 0 3 3 5 22 16 2 9 1 3 1 5 4 2 2 9 1 7 2 9 7 6 3 4 1 8 2 8 4 75th 95th Median Percentile Percentile Maximum 1 6 14 10 16 22 16 23 22 30 21 27 5 1 3 8 4 26 37 32 30 10 69 28 30 32 32 38 35 23 28 39 50 32 91 41 35 24 41 23 25 29 71 69 0 9 15 8 4 16 12 21 1 11 0 5 4 11 8 17 19 1 10 17 2 1 4 2 2 6 5 4 0 7 0 4 3 9 7 36 37 18 16 12 7 6 6 1 9 0 11 19 3 2 12 16 10 17 28 27 10 12 1 3 1 9 12 0 6 5 6 14 15 1 9 3 15 11 15 3 8 5 9 9 2 3 9 6 13 12 1 2 8 8 27 16 24 22 25 22 28 11 23 29 14 7 23 11 26 17 23 12 20 19 31 13 31 13 26 18 27 13 101 49 41 57 60 30 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page48 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 9 8 2009 INTEL 157 2010 INTEL 169 2001 INTEL 164 2002 INTEL 174 2003 INTEL 142 2004 INTEL 157 3 2005 INTEL 134 14 2006 INTEL 134 2 2007 INTEL 129 11 2008 INTEL 128 2009 INTEL 136 2010 INTEL 137 2001 INTEL 70 2002 INTEL 66 2003 INTEL 63 2004 INTEL 73 7 2005 INTEL 69 18 2006 INTEL 68 0 2007 INTEL 69 14 2008 INTEL 63 2009 INTEL 70 9 3 2010 INTEL 80 11 2001 INTEL 95 2002 INTEL 71 2 2 2003 INTEL 50 13 2004 INTEL 31 2005 INTEL 49 2006 INTEL 51 2001 INTEL 122 2002 INTEL 107 2 3 2003 INTEL 122 12 2004 INTEL 133 2005 INTEL 122 7 12 15 5 6 8 14 11 20 4 10 11 1 8 Minimum 5 19 52 54 28 37 25th 75th 95th Percentile Percentile Median Percentile Percentile Maximum 1 1 5 5 8 7 12 12 29 41 18 20 12 12 13 5 21 18 41 27 34 57 73 131 9 4 34 13 33 15 21 16 17 20 16 11 23 133 174 8 17 6 1 17 18 15 40 10 0 5 4 4 0 47 56 27 43 11 29 18 16 13 40 39 19 19 1 17 13 6 10 0 3 23 20 13 13 0 7 4 2 5 6 1 2 18 23 10 13 15 17 4 0 9 3 9 9 9 3 9 0 1 4 20 19 9 12 9 5 9 0 2 8 10 7 9 1 3 4 11 9 8 5 3 0 22 5 1 12 17 0 12 5 6 6 14 10 14 6 15 9 10 9 6 2 13 23 3 4 14 10 18 15 10 13 3 3 5 4 13 18 10 11 15 16 4 3 6 3 10 16 2 4 2 7 8 6 9 6 47 32 34 26 17 21 16 11 23 16 21 24 16 15 24 4 9 11 22 62 42 37 46 33 71 46 40 79 16 61 57 49 48 23 26 22 21 28 26 25 28 44 22 32 23 29 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page49 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2006 INTEL 103 7 2007 INTEL 70 13 2008 INTEL 56 2009 INTEL 44 2010 INTEL 43 2001 INTEL 108 2002 INTEL 97 6 5 2003 INTEL 101 12 2004 INTEL 100 2005 INTEL 95 2006 INTEL 93 8 4 2007 INTEL 85 11 2008 INTEL 66 2009 INTEL 54 2010 INTEL 57 2001 INTEL 35 2002 INTEL 38 7 6 2003 INTEL 57 12 2004 INTEL 53 3 2005 INTEL 53 10 2006 INTEL 49 4 2007 INTEL 53 14 2008 INTEL 55 2009 INTEL 50 2010 INTEL 53 2001 INTEL 51 2002 INTEL 65 2003 INTEL 65 2004 INTEL 62 2005 INTEL 80 2006 INTEL 74 2007 INTEL 78 2008 INTEL 62 1 13 12 5 3 6 5 6 5 7 5 21 34 12 18 1 18 11 Minimum 9 1 9 1 6 26 31 15 26 7 15 4 12 7 6 19 38 16 14 2 8 1 9 7 11 54 57 27 57 25th Percentile Percentile 4 2 1 8 1 7 4 22 19 15 11 6 6 5 4 2 3 2 3 7 7 3 0 6 0 3 2 18 37 13 14 15 0 6 2 13 0 6 5 5 4 1 22 53 1 53 1 4 33 27 26 30 22 24 75th Median 4 11 1 11 10 10 6 95th Percentile Percentile Maximum 13 18 21 26 4 26 25 13 27 16 26 13 15 14 67 12 31 2 25 28 10 33 37 59 35 44 11 34 20 45 13 18 21 13 37 31 28 32 33 60 32 17 37 69 48 140 162 62 60 79 32 22 71 96 92 34 3 8 18 19 24 28 11 11 26 3 2 11 17 8 4 9 2 5 4 12 8 7 4 1 8 2 0 4 13 17 4 1 16 28 13 15 11 16 21 9 7 4 12 18 5 0 16 12 24 19 13 11 2 5 8 6 1 9 15 6 8 8 2 2 8 2 14 13 16 10 10 7 5 6 7 9 8 19 16 24 11 14 16 6 4 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page50 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 0 2009 INTEL 60 2010 INTEL 68 2005 INTEL 31 2008 INTEL 26 2009 INTEL 26 2001 INTEL 148 2002 INTEL 137 3 8 2003 INTEL 104 13 2004 INTEL 96 3 2005 INTEL 147 13 2006 INTEL 82 7 2007 INTEL 52 14 2008 INTEL 46 2009 INTEL 48 5 8 2010 INTEL 41 10 2001 INTEL 203 2002 INTEL 226 2003 INTEL 199 2004 INTEL 176 5 2005 INTEL 250 13 2006 INTEL 171 4 2007 INTEL 146 13 2008 INTEL 123 2009 INTEL 129 2010 INTEL 136 2001 INTEL 123 2002 INTEL 140 2003 INTEL 155 2004 INTEL 138 5 2005 INTEL 174 13 2006 INTEL 167 2 2007 INTEL 161 16 2008 INTEL 149 7 12 31 21 11 5 11 14 5 5 7 5 12 16 Minimum 17 13 5 23 32 50 43 29 36 25th Percentile Percentile 14 Percentile Percentile Maximum 3 6 111 12 17 21 10 15 57 37 17 23 82 54 8 6 8 0 9 0 4 4 8 6 1 1 11 21 13 18 12 18 14 18 10 10 13 2 8 17 27 37 35 21 13 15 3 11 4 48 49 34 20 25 42 15 14 17 10 23 12 95th 10 10 11 2 6 4 5 3 0 6 75th 5 5 3 1 2 3 7 1 8 5 9 0 47 50 34 21 31 40 17 15 5 1 27 24 20 11 11 12 5 8 8 7 2 9 0 0 3 Median 3 6 15 5 7 9 4 1 8 12 16 4 4 20 5 1 11 16 12 15 10 10 1 5 4 6 6 9 0 15 22 11 11 13 16 7 6 5 9 1 5 2 10 14 1 4 14 18 13 8 6 22 7 41 13 29 10 26 22 23 14 19 24 32 10 36 7 26 25 29 16 15 20 39 26 38 6 58 47 53 22 29 88 55 14 77 38 77 12 47 59 24 17 21 31 53 60 102 25 74 62 71 24 28 34 105 58 142 12 78 80 92 39 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page51 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 3 2009 INTEL 143 2010 INTEL 159 2001 INTEL 33 2002 INTEL 38 2003 INTEL 39 2004 INTEL 37 2005 INTEL 37 11 16 14 42 13 28 2006 INTEL 41 7 2007 INTEL 39 2008 INTEL 36 2009 INTEL 42 5 2010 INTEL 44 12 2001 INTEL 46 1 2002 INTEL 36 4 2003 INTEL 28 11 2004 INTEL 26 2005 INTEL 81 2006 INTEL 77 3 4 7 2007 INTEL 36 14 2002 INTEL 25 0 2003 INTEL 35 17 2004 INTEL 33 2005 INTEL 76 2006 INTEL 77 1 6 5 2007 INTEL 77 13 2008 INTEL 61 1 2009 INTEL 61 10 2010 INTEL 48 9 2004 INTEL 25 2005 INTEL 45 2006 INTEL 59 2007 INTEL 71 2008 INTEL 70 37 12 5 7 4 9 3 Minimum 15 25th Percentile Percentile 8 2 4 51 70 35 55 42 57 33 55 6 3 37 20 32 34 15 12 27 32 18 23 26 14 11 25 1 8 7 6 3 1 6 5 5 1 13 10 1 10 7 6 0 8 1 3 19 2 14 4 4 4 7 4 4 3 6 0 2 11 1 5 2 3 2 8 27 26 13 15 17 10 19 1 14 5 8 13 6 1 0 1 7 4 9 3 1 1 7 2 5 4 8 3 0 5 1 75th 95th Median Percentile Percentile Maximum 3 7 10 20 19 23 13 7 9 14 20 11 78 22 34 90 40 145 6 1 22 29 10 60 21 5 17 93 87 93 40 33 41 23 13 22 16 17 22 32 110 182 17 128 5 9 18 22 1 5 94 96 65 44 53 62 16 22 16 23 49 35 12 37 14 21 23 31 31 27 32 16 8 2 12 17 2 3 4 2 9 0 3 4 14 0 16 7 7 15 21 5 3 10 12 17 34 13 18 20 28 12 15 27 22 1 9 5 5 7 3 8 2 8 4 2 10 10 12 7 8 6 15 19 18 13 9 8 21 23 28 19 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page52 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25 5 5 9 4 4 6 5 2 5 4 INTEL 26 11 2002 INTEL 37 8 2003 INTEL 54 11 2004 INTEL 55 2005 INTEL 49 2001 INTEL 32 2001 INTEL 56 2002 INTEL 52 3 50 30 25 34 10 12 25 26 2003 INTEL 32 13 2004 INTEL 29 4 2005 INTEL 30 10 2006 INTEL 31 5 2007 INTEL 28 13 2008 INTEL 27 1 2001 INTEL 56 2002 INTEL 56 8 4 2003 INTEL 57 13 2004 INTEL 56 2005 INTEL 53 2006 INTEL 50 2007 INTEL 54 2008 INTEL 54 2009 INTEL 44 2010 INTEL 45 2001 INTEL 34 2002 INTEL 39 5 8 2003 INTEL 37 13 2004 INTEL 40 2009 INTEL 60 2010 INTEL 54 2007 INTEL 28 2008 INTEL 35 2009 INTEL 2001 5 8 0 1 4 9 4 9 4 5 6 2 25th 75th 95th Percentile Percentile Median Percentile Percentile Maximum 3 5 4 9 4 4 8 9 4 3 2 3 7 1 0 23 29 17 14 14 8 8 4 11 17 11 13 14 12 14 12 10 21 17 18 25 13 16 39 46 27 6 12 3 2 4 8 9 0 10 20 24 18 26 13 25 32 26 26 28 51 46 48 31 31 36 28 28 29 5 3 4 11 7 8 4 7 6 5 6 5 9 8 3 9 9 9 8 4 3 1 7 1 40 29 30 21 15 13 10 4 0 8 14 4 3 8 4 2 8 8 3 0 6 1 1 4 25 47 21 44 10 0 1 12 14 13 16 12 12 8 6 5 8 8 8 0 2 29 11 16 12 18 15 39 11 26 4 0 0 10 13 2 11 17 16 1 9 3 5 5 4 30 17 6 6 2 11 11 5 4 5 1 9 2 11 2 2 9 18 9 19 4 3 8 3 3 10 17 12 14 26 7 2 9 4 5 4 1 7 13 9 9 8 68 19 83 10 32 39 25 21 22 17 42 16 27 40 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page53 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2005 INTEL 27 2006 INTEL 32 9 4 2007 INTEL 27 12 2008 INTEL 31 2009 INTEL 28 2010 INTEL 33 2001 INTEL 77 2002 INTEL 73 2003 INTEL 38 2005 INTEL 37 2006 INTEL 34 2001 INTEL 166 2002 INTEL 152 6 3 2003 INTEL 161 11 2004 INTEL 141 2 2005 INTEL 112 2006 INTEL 81 2007 INTEL 72 12 17 14 2008 INTEL 77 0 2009 INTEL 75 14 2010 INTEL 62 7 2001 INTEL 204 15 2002 INTEL 211 8 2003 INTEL 205 13 2004 INTEL 212 2005 INTEL 222 2006 INTEL 213 2007 INTEL 203 2008 INTEL 194 2 2009 INTEL 188 12 2010 INTEL 186 7 2001 INTEL 187 2002 INTEL 216 4 4 6 6 7 12 16 25 4 12 13 16 6 7 Minimum 2 5 1 7 5 1 3 18 4 0 5 13 11 3 3 0 3 1 5 4 4 11 17 1 17 25th Percentile Percentile 0 4 5 6 5 2 2 0 4 0 13 3 1 4 2 0 2 5 5 7 2 2 1 5 2 6 3 3 9 2 2 3 17 36 15 30 2 75th Median 95th Percentile Percentile Maximum 17 17 20 14 15 15 10 19 20 28 37 11 21 40 23 14 17 16 18 23 22 38 41 54 14 30 13 48 47 28 12 26 31 83 47 49 80 48 39 48 12 25 26 10 13 5 3 8 3 13 10 12 16 1 1 4 4 2 8 10 19 4 2 7 0 8 12 9 3 10 5 5 2 8 0 6 9 7 3 6 6 7 12 17 26 6 2 10 1 11 16 14 7 8 7 8 7 10 16 21 30 7 3 13 9 17 23 20 24 31 27 12 24 18 72 41 39 20 35 33 40 2 12 19 8 9 3 12 4 15 17 18 4 10 12 13 6 3 3 3 2 10 11 12 5 5 8 10 5 6 3 20 3 2 6 6 2 9 1 9 9 7 3 0 6 23 17 0 3 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page54 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 7 2003 INTEL 249 2004 INTEL 261 2005 INTEL 287 2006 INTEL 282 7 6 2007 INTEL 302 10 2008 INTEL 319 2009 INTEL 307 2010 INTEL 317 8 5 2007 INTEL 29 13 2008 INTEL 25 2001 INTEL 27 2001 INTEL 81 2002 INTEL 67 2 2003 INTEL 57 14 2004 INTEL 51 2 2005 INTEL 27 15 2001 INTEL 89 2002 INTEL 70 3 3 2003 INTEL 63 12 2004 INTEL 79 4 2005 INTEL 68 10 2006 INTEL 51 5 2007 INTEL 38 11 2008 INTEL 35 2009 INTEL 32 2010 INTEL 25 2 8 7 2001 INTEL 59 10 2002 INTEL 68 6 2003 INTEL 70 13 2004 INTEL 83 3 2005 INTEL 63 14 2006 INTEL 60 6 2007 INTEL 54 11 3 1 4 4 0 Minimum 12 21 5 10 25th Percentile Percentile 7 11 1 3 0 4 12 10 3 2 2 3 9 2 2 4 15 24 12 20 2 10 3 8 1 5 2 3 22 27 17 21 4 14 8 Percentile Maximum 8 10 17 6 5 9 0 8 5 9 8 12 15 18 20 11 14 47 24 32 45 56 18 33 14 60 14 36 40 35 30 12 38 64 37 69 42 28 21 32 14 29 18 48 43 79 20 51 83 32 3 4 1 1 2 5 10 13 10 23 11 21 26 13 27 10 25 19 14 23 6 8 10 5 2 7 5 14 21 1 6 15 22 11 16 6 4 4 2 2 18 13 12 6 6 7 1 8 6 3 12 19 4 1 8 12 17 11 15 36 31 22 14 1 Percentile 42 32 30 10 43 43 22 27 Median 8 1 10 10 12 95th 9 7 9 6 1 6 0 5 4 7 9 4 3 5 4 3 2 7 3 5 4 9 1 6 9 8 9 1 75th 3 2 0 5 0 1 12 1 7 2 5 1 10 13 5 11 1 7 7 3 10 9 15 7 24 13 23 3 9 11 12 15 18 15 14 25 3 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page55 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 3 7 8 2008 INTEL 46 2009 INTEL 40 2010 INTEL 43 2001 INTEL 30 5 2002 INTEL 27 10 2003 INTEL 27 9 2004 INTEL 32 1 2005 INTEL 29 12 2006 INTEL 28 2007 INTEL 25 2005 INTEL 25 2010 INTEL 27 2005 INTEL 38 2004 INTEL 38 2005 INTEL 125 2006 INTEL 94 6 8 5 7 4 2007 INTEL 68 10 2008 INTEL 61 2009 INTEL 116 2010 INTEL 98 2004 INTEL 66 2005 INTEL 144 2006 INTEL 164 2 6 4 2007 INTEL 125 10 2008 INTEL 121 2 2009 INTEL 177 11 2010 INTEL 188 2004 INTEL 27 2005 INTEL 49 2006 INTEL 50 2007 INTEL 57 2008 INTEL 59 5 2009 INTEL 43 11 1 12 13 2 13 10 6 3 7 2 9 Minimum 25th Percentile Percentile 75th 95th Median Percentile Percentile 6 9 10 10 16 17 55 5 5 1 3 4 2 0 3 4 2 6 6 51 40 22 15 44 36 17 12 14 15 11 5 7 9 3 9 13 1 6 4 6 4 2 3 0 3 4 5 5 1 14 0 4 3 11 2 1 2 2 0 4 62 6 1 5 5 6 0 3 3 2 0 6 4 8 3 1 3 0 5 5 9 3 1 2 0 5 6 9 10 8 0 5 19 3 2 10 15 11 12 17 14 11 12 0 4 3 3 1 3 1 7 3 5 9 2 4 1 8 2 2 11 11 14 13 8 12 6 11 7 0 3 0 7 3 8 1 4 2 9 3 2 10 11 11 5 0 3 1 7 3 6 0 5 2 7 10 11 3 3 8 7 10 7 3 6 3 9 2 11 8 28 11 26 12 22 19 13 16 24 16 16 21 5 21 18 10 17 16 20 1 14 13 16 37 6 19 Maximum 13 17 21 68 20 32 41 28 19 22 21 13 16 24 17 19 24 7 24 29 11 18 27 42 24 21 16 17 37 16 23 1 1 14 15 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page56 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 7 0 2010 INTEL 49 2001 INTEL 78 2002 INTEL 60 3 2003 INTEL 45 21 2004 INTEL 53 0 2005 INTEL 84 11 2006 INTEL 62 5 2007 INTEL 39 13 2008 INTEL 41 2 2009 INTEL 27 12 2001 INTEL 148 2002 INTEL 147 2 3 2003 INTEL 147 23 2004 INTEL 129 2005 INTEL 204 2006 INTEL 176 1 9 7 2007 INTEL 100 11 2008 INTEL 106 0 2009 INTEL 93 11 2010 INTEL 75 7 2001 INTEL 60 2002 INTEL 87 2003 INTEL 133 2004 INTEL 154 2005 INTEL 216 2006 INTEL 192 2007 INTEL 178 2008 INTEL 160 2009 INTEL 133 2010 INTEL 126 8 4 8 4 5 6 2005 INTEL 26 10 2006 INTEL 44 3 2007 INTEL 52 10 10 10 22 3 Minimum 25th Percentile Percentile 3 3 24 22 11 15 1 12 8 13 1 9 1 6 3 6 1 3 18 28 16 16 3 12 5 9 9 10 5 4 8 8 2 5 3 8 6 3 2 0 24 28 21 21 1 5 21 13 7 9 14 12 10 3 3 1 4 5 2 7 1 1 19 12 2 4 75th 95th Median Percentile Percentile Maximum 5 8 7 7 2 3 9 8 2 13 13 15 23 28 7 6 2 7 1 6 1 6 12 11 17 14 20 11 18 6 4 5 1 24 30 33 14 23 18 25 10 21 19 11 39 11 24 22 24 13 68 18 34 20 27 25 26 11 24 46 22 45 32 34 31 32 13 36 22 11 10 18 2 3 1 6 3 6 4 3 3 0 7 4 9 0 10 5 14 15 16 11 10 22 6 3 0 6 0 1 3 6 1 7 4 7 2 8 4 4 5 9 4 9 6 5 16 14 15 9 3 9 15 9 26 21 27 39 11 22 15 17 12 16 16 26 13 18 6 4 1 7 12 7 8 8 16 8 13 5 2 7 9 4 46 40 34 29 26 30 26 19 26 15 19 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page57 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25th Percentile Percentile 0 1 3 5 5 1 56 4 5 6 8 3 1 1 26 11 14 24 16 17 15 20 19 16 11 20 10 11 12 11 14 14 2008 INTEL 59 2009 INTEL 53 2010 INTEL 2003 INTEL 2001 INTEL 34 6 2003 INTEL 28 10 2004 INTEL 26 2001 INTEL 42 2002 INTEL 35 2001 INTEL 155 2002 INTEL 128 1 1 2003 INTEL 92 13 2004 INTEL 74 2 2005 INTEL 69 13 2006 INTEL 56 9 2007 INTEL 47 14 2008 INTEL 42 2009 INTEL 41 2010 INTEL 41 2001 INTEL 192 2002 INTEL 166 8 2003 INTEL 118 12 2004 INTEL 84 2 2005 INTEL 77 10 2006 INTEL 75 3 2007 INTEL 67 10 2008 INTEL 68 2009 INTEL 62 2010 INTEL 62 2001 INTEL 127 2002 INTEL 123 2003 INTEL 103 2004 INTEL 96 5 2 1 2 14 12 10 3 6 8 8 11 11 5 14 6 8 7 7 10 75th 95th Median Percentile Percentile Maximum 4 4 4 7 7 8 12 10 17 11 13 13 27 10 35 29 39 15 68 58 35 19 18 19 17 26 16 26 13 26 29 26 22 27 29 27 24 26 33 26 36 15 32 33 29 24 29 33 50 16 63 30 31 21 44 25 22 31 40 11 42 12 8 4 1 2 16 2 6 3 8 8 7 2 12 19 0 4 1 1 3 2 7 8 3 8 1 8 2 9 4 39 36 24 19 19 15 13 8 11 17 2 0 9 14 1 6 6 6 1 6 1 3 4 5 2 25 30 15 18 11 0 26 19 23 13 15 21 16 7 9 10 16 24 13 8 9 6 5 2 10 1 8 4 3 6 7 9 3 17 13 2 1 11 11 11 2 3 3 45 45 18 28 9 4 1 5 1 12 6 12 1 11 9 9 2 9 3 6 5 9 4 6 20 15 20 3 7 14 7 8 11 4 1 9 7 5 8 8 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page58 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum Percentile Percentile 3 2 5 3 3 4 2 7 1 9 0 2 5 11 12 12 28 42 18 17 65 4 42 49 20 37 48 11 INTEL 49 2 3 2007 INTEL 27 15 2008 INTEL 30 2009 INTEL 26 2010 INTEL 30 2001 INTEL 30 1 2002 INTEL 27 16 2001 INTEL 27 0 2001 INTEL 115 2002 INTEL 91 3 3 2003 INTEL 58 10 2004 INTEL 43 2005 INTEL 35 2006 INTEL 35 0 8 1 2007 INTEL 28 12 2008 INTEL 29 0 2009 INTEL 28 12 2010 INTEL 26 6 2001 INTEL 83 2002 INTEL 70 8 4 2003 INTEL 54 10 2004 INTEL 61 2005 INTEL 88 12 2006 INTEL 81 4 2007 INTEL 66 14 2008 INTEL 65 2009 INTEL 63 2010 INTEL 63 2001 INTEL 110 2002 INTEL 101 2003 INTEL 87 2004 INTEL 2005 INTEL 2006 5 7 9 9 5 9 4 3 25th 14 16 7 4 2 8 15 2 9 6 3 8 2 5 18 62 17 23 19 17 40 17 14 17 1 5 1 1 8 6 4 12 75th 95th Percentile Percentile Maximum 9 4 18 12 17 27 17 29 25 20 20 12 38 33 34 27 35 26 39 31 78 16 63 28 31 32 14 37 50 83 27 44 40 26 Median 3 6 6 13 10 12 9 7 11 11 6 5 21 4 0 8 14 19 13 22 23 12 28 28 22 12 17 14 25 1 15 7 17 12 4 2 5 8 5 7 14 33 21 10 3 6 4 6 1 0 2 9 10 3 3 8 1 2 3 1 21 26 12 21 19 22 15 11 12 3 10 16 12 6 7 4 5 0 13 5 8 1 6 7 5 1 33 10 8 9 8 4 5 3 0 6 3 7 4 8 8 0 5 9 14 5 1 4 8 12 21 4 8 25 10 15 25 1 3 8 33 14 24 21 1 9 4 6 2 8 14 22 5 8 9 9 32 21 18 19 24 12 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page59 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 7 3 9 2 7 6 2005 INTEL 57 2006 INTEL 64 2007 INTEL 49 2008 INTEL 42 2009 INTEL 40 2010 INTEL 43 2001 INTEL 67 2002 INTEL 63 7 9 2003 INTEL 60 12 2004 INTEL 56 2005 INTEL 46 2006 INTEL 43 6 1 2007 INTEL 46 10 2008 INTEL 47 2009 INTEL 43 2010 INTEL 41 2001 INTEL 29 2002 INTEL 28 10 10 2003 INTEL 28 9 2004 INTEL 25 2010 INTEL 27 2002 INTEL 28 5 5 2003 INTEL 35 13 2004 INTEL 36 2 2005 INTEL 63 14 2006 INTEL 37 8 2007 INTEL 30 10 2008 INTEL 29 1 2009 INTEL 28 13 2001 INTEL 34 2002 INTEL 39 4 1 2003 INTEL 54 11 2004 INTEL 59 3 7 4 6 6 3 Minimum 7 25th Percentile Percentile 2 9 5 0 3 0 7 1 2 3 45 48 31 35 16 17 10 4 8 12 6 20 7 9 1 4 6 2 40 32 23 16 4 5 4 5 Percentile Percentile Maximum 11 9 2 16 15 20 11 17 16 26 18 26 18 21 26 12 21 28 35 16 31 5 10 1 6 10 13 10 6 8 17 14 19 18 14 15 Median 6 2 8 1 7 5 12 6 8 12 5 11 1 9 11 1 4 1 19 29 15 15 13 7 8 4 5 10 13 28 7 11 15 25 29 27 28 21 11 5 8 1 7 14 5 0 10 11 6 2 1 7 3 8 2 6 1 9 16 16 6 3 12 11 23 15 7 5 20 18 95th 7 7 4 4 8 3 1 4 11 5 8 3 7 2 4 2 75th 3 6 3 3 4 3 4 6 3 4 6 4 5 1 3 8 6 4 2 14 13 19 1 5 16 20 10 11 4 9 10 15 8 4 0 2 10 17 30 17 54 24 4 0 6 8 1 6 9 20 15 21 20 17 18 10 21 30 11 11 16 31 30 33 39 26 15 36 41 59 33 15 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page60 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25th Percentile Percentile Median 2 4 3 1 0 4 6 8 9 5 4 4 16 16 12 8 9 8 5 5 7 4 9 2 7 6 0 0 0 11 11 15 123 4 43 39 20 45 39 38 15 27 152 10 INTEL 161 7 6 2007 INTEL 139 11 2008 INTEL 121 4 2009 INTEL 124 10 2010 INTEL 137 9 2001 INTEL 46 2002 INTEL 36 7 6 2003 INTEL 46 11 2004 INTEL 56 6 2005 INTEL 53 11 2006 INTEL 44 4 2007 INTEL 46 13 2008 INTEL 45 2009 INTEL 45 2010 INTEL 61 2008 INTEL 26 2009 INTEL 29 2010 INTEL 35 2005 INTEL 39 2006 INTEL 34 8 5 2007 INTEL 32 11 2008 INTEL 29 1 2005 INTEL 53 2006 INTEL 40 2007 INTEL 31 2008 INTEL 27 2009 INTEL 27 2010 INTEL 30 2001 INTEL 47 2002 INTEL 62 2003 INTEL 98 2004 INTEL 2005 INTEL 2006 5 5 7 5 13 11 13 1 11 1 4 5 0 2 4 4 5 4 4 0 3 50 39 26 17 45 29 21 14 4 14 17 22 12 2 8 5 6 5 2 9 1 2 9 9 0 0 12 10 3 4 1 4 9 1 4 12 5 2 7 0 6 5 75th 12 11 12 11 30 22 16 14 15 16 32 25 17 20 16 18 36 21 83 46 39 20 28 25 27 28 45 59 33 8 10 21 4 1 10 14 11 15 8 7 4 10 9 12 5 5 1 6 1 Maximum 12 8 10 Percentile 5 4 11 5 1 9 1 2 4 1 Percentile 8 15 16 11 95th 8 6 7 14 13 5 2 18 3 9 2 12 11 16 5 7 6 3 12 7 7 2 8 0 7 9 9 11 7 15 19 11 9 14 5 6 8 79 31 31 18 22 16 19 17 18 34 31 4 38 16 44 20 16 16 22 22 28 21 19 28 18 5 45 44 49 24 16 20 25 39 31 25 20 34 26 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page61 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25th Percentile Percentile 8 1 0 4 20 14 12 15 7 36 16 18 2009 INTEL 34 2002 INTEL 26 2003 INTEL 29 2004 INTEL 26 4 2005 INTEL 55 11 2006 INTEL 43 5 2007 INTEL 39 12 2008 INTEL 32 2009 INTEL 30 5 6 2010 INTEL 30 10 2005 INTEL 25 2006 INTEL 26 2006 INTEL 25 4 2007 INTEL 51 14 2008 INTEL 62 2009 INTEL 50 7 5 2010 INTEL 60 11 2001 INTEL 69 2002 INTEL 219 2003 INTEL 360 2004 INTEL 2005 INTEL 2006 9 9 2 6 4 2 6 4 1 3 14 28 18 26 3 3 3 4 2 3 3 5 19 5 18 8 9 2 1 15 23 427 6 60 65 43 55 32 53 31 46 485 21 3 INTEL 547 1 6 2007 INTEL 583 2008 INTEL 591 2009 INTEL 583 38 25 37 24 29 18 18 14 2010 INTEL 582 2001 INTEL 37 2002 INTEL 51 2004 INTEL 99 7 6 2005 INTEL 115 31 2006 INTEL 127 4 2007 INTEL 145 22 1 20 10 0 14 12 4 6 59 66 59 33 49 51 5 8 4 0 8 1 4 4 5 4 7 9 4 2 8 75th 95th Median Percentile Percentile Maximum 8 10 18 22 8 10 9 2 1 6 19 11 15 25 17 25 14 13 26 25 11 7 4 5 6 8 8 3 4 14 2 9 8 8 15 14 8 1 3 7 27 119 4 2 14 22 18 70 52 64 29 14 25 15 62 25 92 65 53 10 13 16 19 9 13 5 18 27 12 10 10 8 3 5 13 17 11 24 18 11 23 23 13 18 12 17 9 3 2 18 37 31 3 5 18 25 21 18 23 76 35 8 4 16 12 3 0 4 8 14 37 24 33 16 8 0 17 22 6 2 2 9 4 34 8 32 18 25 26 17 26 25 14 12 56 40 47 27 104 88 181 91 186 92 116 60 43 69 76 79 37 147 91 101 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page62 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 18 2008 INTEL 168 2009 INTEL 160 5 2010 INTEL 178 13 2001 INTEL 400 2002 INTEL 316 1 2 2003 INTEL 206 11 2004 INTEL 172 2005 INTEL 164 2006 INTEL 161 2007 INTEL 114 12 11 14 2008 INTEL 114 2 2009 INTEL 129 2010 INTEL 98 16 16 2001 INTEL 515 2002 INTEL 548 4 2003 INTEL 554 2004 INTEL 577 1 2005 INTEL 450 13 2006 INTEL 355 7 2007 INTEL 314 11 2008 INTEL 333 2009 INTEL 342 2010 INTEL 332 2001 INTEL 397 2002 INTEL 402 4 7 2003 INTEL 392 11 2004 INTEL 407 2 2005 INTEL 312 13 2006 INTEL 383 6 2007 INTEL 347 10 2008 INTEL 305 2009 INTEL 322 2010 INTEL 328 2 Minimum 29 33 25th Percentile Percentile 6 13 25 6 0 26 25 12 18 8 19 2 9 0 0 4 7 3 9 2 0 27 29 14 16 11 9 2 19 10 1 13 11 4 7 8 3 1 6 5 3 75th 95th Median Percentile Percentile Maximum 18 29 9 9 7 6 2 6 4 7 2 7 1 11 15 3 3 5 4 11 17 12 12 16 17 17 21 10 16 18 22 21 3 5 6 0 10 15 12 19 13 14 49 18 27 13 13 25 13 24 23 27 10 29 31 25 12 23 11 26 21 24 3 8 10 6 19 19 7 7 2 26 28 16 10 16 23 4 0 9 12 18 30 19 20 13 19 20 68 36 68 51 39 42 28 42 39 33 18 30 38 74 33 46 33 46 29 34 24 34 53 61 64 63 49 39 33 31 32 43 43 13 4 3 2 2 6 9 9 6 5 6 1 6 2 7 4 27 40 22 29 21 23 12 13 6 11 5 10 7 12 7 16 8 8 0 5 0 5 3 14 0 4 2 5 3 0 7 7 7 1 6 0 2 4 1 1 3 5 9 0 4 9 3 7 6 6 6 3 2 9 14 7 10 11 8 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page63 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 9 2001 INTEL 652 2002 INTEL 726 2003 INTEL 722 2004 INTEL 599 3 2005 INTEL 301 13 2006 INTEL 319 6 2007 INTEL 304 12 2008 INTEL 332 2009 INTEL 329 2010 INTEL 388 2001 INTEL 255 2002 INTEL 291 2003 INTEL 277 2004 INTEL 2005 INTEL 2006 12 14 Minimum 52 50 28 36 8 18 0 25th Percentile Percentile 26 37 14 22 0 5 3 5 2 5 7 9 12 10 6 0 10 13 211 3 54 47 31 49 32 42 10 15 133 14 1 INTEL 139 1 9 14 2007 INTEL 103 12 2008 INTEL 111 24 13 16 2009 INTEL 106 2010 INTEL 110 2001 INTEL 107 2002 INTEL 105 2003 INTEL 97 2004 INTEL 83 4 2005 INTEL 45 13 2006 INTEL 35 2007 INTEL 27 2008 INTEL 39 2009 INTEL 40 2010 INTEL 31 2005 INTEL 34 2006 INTEL 47 2007 INTEL 38 6 4 5 7 3 11 18 0 13 10 3 9 14 13 13 8 8 41 51 24 32 12 25 20 12 22 1 1 3 2 1 9 6 2 32 45 14 18 4 24 10 12 10 0 1 2 1 75th Median 95th Percentile Percentile Maximum 11 11 11 2 3 24 58 76 19 7 1 8 0 2 4 1 11 18 11 15 15 16 11 10 13 42 42 35 17 23 15 18 24 44 28 32 13 40 13 23 17 13 17 58 27 35 11 45 15 22 45 25 16 26 26 25 103 5 18 21 6 11 8 8 8 4 9 0 0 3 6 11 4 7 7 8 11 13 1 4 21 5 1 12 17 1 11 4 5 5 5 17 9 9 9 5 16 20 10 10 12 15 26 8 7 5 5 1 10 15 11 15 2 1 5 8 7 7 16 13 13 18 14 10 10 20 18 21 2 8 2 8 5 6 9 46 60 40 53 35 42 45 77 71 114 56 56 39 28 37 25 39 85 78 145 68 63 43 23 48 25 53 31 32 26 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page64 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 1 2008 INTEL 25 2009 INTEL 25 2005 INTEL 122 13 11 2006 INTEL 142 7 2007 INTEL 144 11 2008 INTEL 140 1 2009 INTEL 130 2010 INTEL 96 2005 INTEL 128 2006 INTEL 157 2007 INTEL 175 2008 INTEL 153 2009 INTEL 155 2010 INTEL 161 2004 INTEL 151 5 2005 INTEL 560 12 2006 INTEL 640 6 2007 INTEL 651 14 2008 INTEL 427 5 2009 INTEL 537 2010 INTEL 513 2004 INTEL 79 3 2005 INTEL 176 14 2006 INTEL 260 2 2007 INTEL 291 14 2008 INTEL 175 2009 INTEL 166 2010 INTEL 181 5 5 6 2005 INTEL 49 13 2006 INTEL 73 0 2007 INTEL 79 17 2008 INTEL 40 2009 INTEL 37 13 12 10 5 9 4 7 7 13 10 8 3 Minimum 8 3 9 9 1 8 1 1 9 9 15 10 7 11 48 16 14 5 13 10 25th Percentile Percentile 6 0 4 9 6 1 6 1 7 5 6 1 5 0 2 4 29 15 6 1 5 3 5 2 2 4 4 1 4 4 4 5 4 6 6 0 2 39 17 9 1 26 26 57 14 1 8 4 1 8 8 5 2 29 33 17 23 27 16 12 13 75th 95th Percentile Percentile Maximum 2 0 4 6 12 10 19 16 12 14 23 25 21 25 24 29 35 29 14 42 30 31 31 45 22 32 24 46 64 60 60 55 31 39 51 68 54 64 53 29 34 83 78 83 28 43 Median 6 9 2 12 9 10 4 8 4 6 6 4 8 18 18 15 27 25 23 17 22 14 19 19 36 35 18 34 17 23 25 9 12 7 12 11 5 1 9 0 7 5 8 7 3 4 0 10 17 10 17 10 13 1 0 4 7 8 13 3 4 6 12 4 8 13 8 19 14 5 2 8 11 17 43 19 31 18 17 15 32 28 37 24 30 0 5 4 5 9 5 17 10 8 8 17 1 5 16 19 14 8 1 8 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page65 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25th Percentile Percentile 1 3 5 69 2 20 24 11 17 62 14 5 INTEL 75 3 8 17 10 2005 INTEL 109 2006 INTEL 93 2007 INTEL 66 2008 INTEL 48 2009 INTEL 48 2010 INTEL 45 15 16 2001 INTEL 80 2 2002 INTEL 134 3 2003 INTEL 159 13 2004 INTEL 173 5 2005 INTEL 270 10 2006 INTEL 265 7 2007 INTEL 245 13 2008 INTEL 194 1 2009 INTEL 211 2010 INTEL 185 2001 INTEL 77 2002 INTEL 123 3 5 2003 INTEL 163 11 2004 INTEL 174 2005 INTEL 222 2006 INTEL 215 0 7 4 2007 INTEL 214 11 12 11 2008 INTEL 220 2009 INTEL 217 2010 INTEL 232 4 7 7 8 8 9 2001 INTEL 62 2002 INTEL 97 2010 INTEL 35 12 2001 INTEL 53 2002 INTEL 2003 INTEL 2004 12 12 15 1 13 12 6 8 3 6 1 7 4 1 3 16 29 12 23 14 21 9 9 1 9 10 6 38 35 12 20 9 50 54 1 1 5 4 3 2 8 0 6 2 5 2 2 19 22 75th 95th Median Percentile Percentile Maximum 7 6 9 6 2 8 5 8 2 10 16 1 3 7 5 14 21 11 12 12 14 20 22 10 14 15 20 25 2 3 9 3 11 19 24 13 13 39 25 26 26 28 10 26 30 28 13 26 25 24 23 27 24 27 18 49 29 34 33 31 14 28 31 40 25 54 38 31 32 34 25 38 45 44 21 31 46 33 25 42 27 33 50 46 27 7 8 9 7 2 4 1 7 2 8 5 11 4 3 2 9 6 4 3 0 7 1 3 4 24 36 13 13 4 11 5 7 0 1 1 3 8 6 11 1 8 3 8 15 12 19 3 8 11 9 18 18 5 5 3 1 10 17 24 29 17 10 25 12 20 14 24 13 16 16 15 1 4 7 4 12 11 15 4 7 5 6 6 8 6 11 9 1 0 8 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page66 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 13 2003 INTEL 143 2004 INTEL 174 2005 INTEL 246 2006 INTEL 242 1 9 3 2007 INTEL 227 16 2008 INTEL 205 2009 INTEL 202 2010 INTEL 211 2001 INTEL 42 2002 INTEL 79 2003 INTEL 106 2004 INTEL 102 4 2005 INTEL 126 11 2006 INTEL 133 0 2007 INTEL 142 15 2008 INTEL 150 2009 INTEL 142 2010 INTEL 153 2002 INTEL 34 7 2003 INTEL 36 2004 INTEL 2005 INTEL 2006 INTEL 2007 Minimum 18 21 11 11 0 5 7 8 11 11 4 12 14 44 46 23 18 5 6 5 7 25th Percentile Percentile 5 12 2 6 7 75th 95th Median Percentile Percentile Maximum 8 4 5 2 12 18 11 14 27 14 21 13 29 14 21 17 24 1 31 12 25 13 29 16 16 18 56 39 48 71 41 64 26 40 45 56 49 37 15 68 46 70 36 41 43 58 27 155 194 19 82 40 33 26 26 88 46 48 20 34 23 25 0 8 3 1 1 2 4 5 6 6 25 43 13 16 15 8 8 6 4 10 11 12 4 2 5 8 3 20 23 16 11 12 1 6 4 11 4 3 13 7 19 8 9 10 2 6 21 1 9 14 1 3 14 18 10 7 4 5 11 18 3 6 1 2 0 3 24 51 5 53 31 42 51 26 18 1 9 15 49 16 2 2 INTEL 49 15 13 16 2008 INTEL 50 20 14 2009 INTEL 49 8 2 23 16 25 6 5 9 14 1 1 41 1 18 11 11 2010 INTEL 58 11 0 2001 INTEL 41 2001 INTEL 83 2002 INTEL 52 3 21 14 14 19 2003 INTEL 42 12 2004 INTEL 39 2005 INTEL 36 58 12 29 20 15 19 35 25 14 32 15 25 0 1 2 8 9 2 7 1 2 6 7 13 13 16 1 5 0 4 2 8 9 9 9 5 2 3 5 9 1 9 10 4 10 14 2 2 4 4 8 2 11 18 1 6 3 11 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page67 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25th Percentile Percentile 75th 95th Median Percentile Percentile 6 9 1 2 9 9 5 15 19 3 3 2 8 11 19 16 10 33 20 45 58 96 10 19 109 3 9 1 1 2 20 18 10 10 14 11 11 8 23 24 13 19 6 4 2 7 1 7 51 37 18 34 23 29 11 11 2006 INTEL 34 2001 INTEL 89 2002 INTEL 67 2003 INTEL 53 2004 INTEL 44 2005 INTEL 35 2006 INTEL 32 2001 INTEL 87 2002 INTEL 64 7 9 2003 INTEL 38 17 2004 INTEL 32 2005 INTEL 26 2001 INTEL 48 2002 INTEL 38 2003 INTEL 32 2003 INTEL 25 2005 INTEL 29 2008 INTEL 26 2009 INTEL 26 2001 INTEL 53 2002 INTEL 48 2 1 7 2003 INTEL 38 18 2004 INTEL 41 6 2005 INTEL 54 23 2006 INTEL 27 2 2008 INTEL 25 12 2002 INTEL 27 2003 INTEL 56 2004 INTEL 55 2005 INTEL 75 38 11 17 2006 INTEL 74 0 2007 INTEL 101 19 2008 INTEL 88 9 7 6 3 1 8 8 8 16 34 23 14 6 5 7 1 1 13 16 8 3 3 8 2 3 10 12 21 1 4 7 169 175 2 66 31 14 56 57 66 51 19 71 96 21 161 161 1 14 20 0 8 4 7 5 53 44 51 26 13 12 13 19 4 11 85 47 23 72 12 88 47 32 87 27 206 9 8 1 149 6 12 16 4 1 12 17 10 26 17 54 26 23 34 21 23 18 33 25 17 43 49 30 39 19 14 24 45 27 17 13 20 0 2 24 24 57 45 58 8 9 37 8 2 4 10 49 17 21 13 22 57 38 89 8 8 5 Maximum 8 0 5 40 25 25 19 17 17 15 14 8 13 10 6 9 3 12 3 9 12 9 9 2 4 15 19 13 15 22 30 28 24 1 8 2 7 14 15 1 9 2 16 7 4 7 61 43 73 26 9 66 68 92 53 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page68 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 1 2009 INTEL 84 2010 INTEL 82 2005 INTEL 46 12 14 2006 INTEL 61 9 2007 INTEL 53 14 2008 INTEL 46 0 2009 INTEL 47 2010 INTEL 36 2004 INTEL 50 3 2005 INTEL 140 11 2006 INTEL 194 7 2007 INTEL 190 11 2008 INTEL 154 2009 INTEL 143 2010 INTEL 133 2001 INTEL 80 2002 INTEL 178 2003 INTEL 196 2004 INTEL 202 1 2005 INTEL 328 12 2006 INTEL 395 3 2007 INTEL 406 12 2008 INTEL 354 2009 INTEL 342 2010 INTEL 2001 INTEL 2002 INTEL 169 9 2003 INTEL 229 14 2004 INTEL 237 4 2005 INTEL 341 13 2006 INTEL 418 2 2007 INTEL 482 12 2008 INTEL 468 6 14 10 4 7 7 8 11 12 Minimum 26 25th Percentile Percentile 13 3 3 3 3 5 4 2 5 0 0 5 18 14 2 9 3 3 12 7 5 54 45 16 17 9 14 5 12 318 5 6 6 57 13 44 44 28 39 9 4 75th 95th Median Percentile Percentile Maximum 5 0 6 10 11 14 15 21 14 19 12 21 25 23 27 5 23 32 28 28 30 13 37 25 18 35 42 31 29 23 35 61 10 89 48 57 24 60 29 30 28 41 48 0 7 3 7 2 8 5 6 7 2 6 0 3 4 25 33 16 17 4 1 3 1 3 7 2 5 6 11 0 13 9 4 10 5 11 4 6 5 2 8 19 14 31 22 11 28 20 21 14 18 19 21 1 15 12 15 8 11 9 3 4 11 10 11 18 3 1 11 16 11 16 6 0 7 6 7 2 8 0 2 4 43 27 18 16 14 8 8 8 3 9 2 9 6 4 13 20 32 0 9 114 5 11 16 27 15 24 18 78 65 56 53 38 12 1 7 3 4 3 6 15 7 1 26 18 17 10 2 5 2 4 6 5 0 11 6 7 7 10 9 6 15 10 26 13 27 17 24 15 17 16 10 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page69 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2009 INTEL 441 2010 INTEL 441 4 7 2001 INTEL 34 10 2002 INTEL 68 7 2003 INTEL 119 21 2004 INTEL 141 5 2005 INTEL 207 13 2006 INTEL 248 0 2007 INTEL 309 15 2008 INTEL 309 2009 INTEL 287 8 2 2010 INTEL 307 11 2001 INTEL 31 2001 INTEL 83 2002 INTEL 73 5 2003 INTEL 54 10 2004 INTEL 36 2001 INTEL 90 2002 INTEL 94 1 9 6 2003 INTEL 80 12 2004 INTEL 74 2001 INTEL 145 2002 INTEL 135 4 9 6 2003 INTEL 115 15 2004 INTEL 130 4 2005 INTEL 34 12 2006 INTEL 39 4 2007 INTEL 28 11 2008 INTEL 27 2010 INTEL 28 2001 INTEL 88 2002 INTEL 80 2003 INTEL 86 3 3 Minimum 30 73 46 47 31 46 34 33 27 44 20 12 15 15 24 25th Percentile Percentile 6 0 0 4 43 42 18 19 18 16 10 10 19 3 0 2 6 1 16 1 4 5 8 9 1 15 18 23 61 95 12 33 26 36 25 16 27 23 25 28 57 48 85 8 9 5 11 16 2 4 10 15 19 15 14 12 2 Maximum 8 7 19 20 14 25 28 Percentile 0 22 33 13 36 54 41 21 33 5 Percentile 5 3 7 12 11 20 Median 29 8 8 0 95th 17 3 4 7 5 7 8 5 3 11 11 75th 8 1 9 9 12 11 3 1 8 6 9 17 23 1 1 3 2 5 6 14 9 8 0 2 9 10 16 14 11 9 5 1 9 12 20 9 8 29 10 35 14 20 14 25 27 10 5 4 1 4 2 9 4 15 11 14 5 9 15 2 0 12 10 13 54 44 34 28 32 19 17 13 9 9 5 4 13 21 3 14 8 28 7 5 1 6 1 4 3 7 5 6 6 7 10 7 5 150 25 61 82 67 49 27 57 42 89 12 54 10 10 16 62 48 41 53 108 47 38 20 29 36 43 60 63 40 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page70 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2004 INTEL 86 5 2002 INTEL 26 10 2006 INTEL 30 2007 INTEL 33 2010 INTEL 26 12 14 2006 INTEL 43 7 2007 INTEL 36 10 2008 INTEL 34 2009 INTEL 38 2010 INTEL 25 2006 INTEL 2007 7 Minimum 40 47 8 3 1 8 2 10 96 4 6 7 4 INTEL 77 10 13 2008 INTEL 67 2009 INTEL 74 2010 INTEL 75 7 5 3 2006 INTEL 63 3 8 8 0 2007 INTEL 74 13 2008 INTEL 64 2009 INTEL 69 2010 INTEL 62 2002 INTEL 33 2003 INTEL 76 11 12 2004 INTEL 89 0 2005 INTEL 102 2006 INTEL 105 2007 INTEL 98 18 16 18 2008 INTEL 85 6 2009 INTEL 88 2010 INTEL 92 2002 INTEL 30 2003 INTEL 78 2004 INTEL 84 1 2005 INTEL 90 21 4 5 5 13 16 10 17 6 2 9 19 26 20 10 6 39 18 33 12 5 2 10 25th Percentile Percentile 15 44 6 4 1 2 1 5 5 0 4 4 4 3 0 13 1 13 6 1 39 15 25 2 0 6 4 1 5 1 2 46 33 29 15 43 18 16 5 75th Median 9 5 21 12 2 7 5 1 5 1 2 3 1 7 0 4 4 5 9 1 0 4 24 9 9 10 9 11 0 9 9 20 4 7 10 7 10 11 7 9 3 7 4 5 10 3 9 6 95th Percentile Percentile 2 1 12 19 23 11 14 8 11 13 8 14 7 12 11 1 1 12 17 11 4 6 5 9 7 7 13 13 20 1 5 16 16 17 25 21 22 5 13 15 12 17 9 17 21 3 25 3 2 15 26 8 15 21 21 34 19 21 14 20 18 17 20 11 19 20 16 28 16 14 12 46 88 30 44 33 36 23 23 31 58 44 31 46 Maximum 12 44 28 22 36 31 26 14 21 21 32 24 14 22 23 57 73 36 25 22 69 99 54 72 56 66 26 55 46 62 136 51 95 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page71 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 11 19 2006 INTEL 93 2007 INTEL 96 2008 INTEL 103 2009 INTEL 96 2010 INTEL 122 2002 INTEL 38 2003 INTEL 72 2004 INTEL 89 4 2005 INTEL 102 17 2006 INTEL 113 6 2007 INTEL 115 17 2008 INTEL 107 2009 INTEL 103 6 3 2010 INTEL 106 12 2001 INTEL 73 2002 INTEL 30 4 6 2007 INTEL 25 18 2001 INTEL 32 2001 INTEL 40 2002 INTEL 34 6 2 1 2003 INTEL 29 12 2004 INTEL 27 2001 INTEL 58 2002 INTEL 49 2003 INTEL 43 2004 INTEL 38 2005 INTEL 39 2006 INTEL 41 2007 INTEL 33 2001 INTEL 48 2002 INTEL 44 9 2003 INTEL 43 13 2004 INTEL 42 3 8 9 17 27 Minimum 17 12 21 25th Percentile Percentile Median 5 9 11 15 8 Maximum 16 23 54 72 33 32 47 29 0 4 5 4 9 8 55 24 38 10 28 17 17 42 55 19 13 51 18 24 31 12 10 18 18 6 31 137 179 7 1 5 0 12 13 18 21 10 22 14 12 51 34 35 19 14 25 79 94 60 67 27 50 54 6 23 12 19 2 11 9 12 7 5 11 13 10 15 12 15 0 13 21 21 1 7 6 11 10 4 Percentile 0 2 15 3 12 12 Percentile 8 2 6 13 28 23 7 6 95th 30 50 14 19 22 25 1 8 9 9 75th 2 2 8 8 10 11 11 9 5 6 8 15 13 8 4 6 6 4 1 4 5 3 1 6 52 29 29 24 5 4 16 12 15 13 8 8 4 7 3 8 12 12 8 11 15 5 8 2 6 6 17 24 9 7 1 4 3 10 16 28 14 16 14 27 0 2 5 9 2 4 8 6 3 15 24 5 7 10 11 17 10 22 16 22 12 10 1 14 13 5 3 8 7 4 7 2 13 17 25 5 0 9 9 8 31 16 25 14 43 10 52 6 25 10 23 17 27 11 3 27 10 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page72 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2005 INTEL 41 2006 INTEL 34 7 3 2007 INTEL 31 13 2008 INTEL 36 2009 INTEL 26 2010 INTEL 27 2001 INTEL 40 2001 INTEL 360 2002 INTEL 273 2 2003 INTEL 203 16 2004 INTEL 125 3 2005 INTEL 165 2006 INTEL 128 2007 INTEL 103 14 13 15 2008 INTEL 84 3 2009 INTEL 82 2010 INTEL 92 15 19 2001 INTEL 784 0 2002 INTEL 667 1 2003 INTEL 583 13 2004 INTEL 494 2005 INTEL 510 2006 INTEL 407 2007 INTEL 375 2008 INTEL 349 2009 INTEL 386 2010 INTEL 379 2001 INTEL 845 2002 INTEL 774 7 5 2003 INTEL 753 11 2004 INTEL 742 3 2005 INTEL 741 10 2006 INTEL 602 9 4 5 7 1 1 3 13 12 12 2 14 14 Minimum 25th Percentile Percentile 5 6 4 2 3 1 0 58 20 27 15 17 35 11 18 5 5 1 3 2 0 10 3 5 4 8 4 1 3 27 28 13 13 1 1 4 6 3 4 2 9 0 2 4 17 10 11 3 12 18 10 15 17 24 14 12 15 86 18 14 42 26 28 31 27 15 24 35 27 12 27 18 27 28 26 13 27 30 12 18 18 31 15 15 15 2 6 5 9 8 9 8 3 20 7 6 5 5 0 10 15 3 8 6 8 1 14 11 4 7 2 10 21 20 5 Maximum 3 43 34 23 22 23 12 11 8 1 1 2 Percentile 7 3 4 2 4 6 9 Percentile Median 0 3 2 21 1 95th 7 8 9 9 7 8 3 8 6 7 2 9 6 7 75th 1 12 13 15 2 7 20 21 22 6 15 20 20 27 4 2 8 3 12 19 12 10 10 18 17 18 13 13 10 18 21 0 1 7 5 4 0 0 10 16 24 14 14 24 22 4 9 8 1 9 7 100 68 54 58 28 36 35 40 22 33 64 137 34 63 43 34 46 35 26 41 50 68 63 82 51 43 33 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page73 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 10 2007 INTEL 586 2008 INTEL 566 2009 INTEL 574 3 8 2010 INTEL 590 10 2001 INTEL 881 2002 INTEL 850 6 8 2003 INTEL 804 12 2004 INTEL 807 3 2005 INTEL 872 10 2006 INTEL 800 7 2007 INTEL 817 12 2008 INTEL 808 2009 INTEL 806 2010 INTEL 874 2001 INTEL 592 2002 INTEL 580 2003 INTEL 549 2004 INTEL 584 4 2005 INTEL 635 13 2006 INTEL 582 4 2007 INTEL 613 13 2008 INTEL 612 2009 INTEL 590 2010 INTEL 643 2001 INTEL 219 2002 INTEL 223 2003 INTEL 222 2004 INTEL 225 5 2005 INTEL 239 13 2006 INTEL 275 3 2007 INTEL 280 15 2008 INTEL 306 2009 INTEL 312 4 8 9 8 10 14 5 6 8 8 12 18 7 3 Minimum 25th Percentile Percentile Median 95th Percentile Percentile Maximum 13 0 22 15 19 29 20 26 9 38 34 36 46 99 86 99 53 61 43 54 29 40 40 79 66 32 148 8 5 1 0 7 1 4 4 9 3 8 8 53 45 24 34 19 14 14 16 11 23 33 14 14 10 11 17 4 0 8 11 14 12 16 25 18 24 14 19 22 23 7 13 13 1 75th 5 7 6 12 13 2 9 4 1 7 6 5 3 8 1 4 4 55 52 36 43 14 16 22 22 10 27 36 16 18 12 10 13 20 16 10 7 1 9 1 2 4 5 0 9 10 16 16 21 11 10 12 17 161 8 6 3 5 1 42 18 28 15 19 19 16 14 39 10 16 11 14 53 26 28 22 16 65 77 85 60 45 62 13 1 4 4 5 1 7 1 9 3 6 3 8 0 53 61 48 36 10 30 22 26 18 35 42 17 16 1 23 5 8 10 8 2 1 9 7 3 8 8 2 12 5 5 7 2 8 2 7 11 13 3 4 8 16 9 9 11 2 5 25 8 18 13 7 9 87 79 66 82 35 49 48 88 56 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page74 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2010 INTEL 356 13 2004 INTEL 25 5 2005 INTEL 29 11 2006 INTEL 28 8 2007 INTEL 28 14 2008 INTEL 27 1 2009 INTEL 28 2005 INTEL 29 2006 INTEL 25 2 2007 INTEL 29 12 2008 INTEL 28 2009 INTEL 28 2010 INTEL 29 2006 INTEL 32 4 6 7 6 2007 INTEL 31 13 2008 INTEL 35 2009 INTEL 34 2010 INTEL 43 2006 INTEL 34 2 2007 INTEL 44 17 2008 INTEL 54 2009 INTEL 58 8 2 2010 INTEL 68 15 2001 INTEL 26 2005 INTEL 26 2002 INTEL 50 2004 INTEL 26 2005 INTEL 31 2 5 2007 INTEL 31 16 2002 INTEL 93 3 2003 INTEL 87 11 2004 INTEL 80 2005 INTEL 88 12 10 3 7 9 Minimum 1 14 0 6 4 9 2 1 8 2 2 3 0 21 9 13 25th Percentile Percentile 4 6 1 3 5 8 2 3 5 1 1 2 0 8 8 6 6 9 2 1 25 23 2 6 20 10 10 10 75th 95th Median Percentile Percentile Maximum 8 1 8 1 8 2 6 7 0 7 1 3 4 3 9 2 1 4 8 11 15 10 15 13 22 29 12 20 23 26 2 1 10 14 18 15 56 37 25 26 26 18 29 24 15 27 16 21 18 53 43 37 23 22 36 62 36 25 58 29 27 12 19 23 36 16 29 29 29 3 4 5 4 4 8 16 15 1 5 1 11 21 11 16 8 0 8 9 6 8 1 4 26 14 4 12 5 1 9 1 3 8 2 1 8 9 7 4 3 3 11 7 11 1 11 8 1 12 3 6 5 3 11 1 9 6 8 0 3 6 18 14 25 21 10 25 10 14 18 39 23 17 23 21 23 53 22 20 43 15 25 12 15 22 34 13 22 7 16 6 9 11 9 16 6 12 11 7 11 17 5 4 7 1 1 4 10 5 6 13 12 23 3 0 10 15 2 6 4 7 13 20 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page75 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2006 INTEL 61 9 2007 INTEL 98 17 2008 INTEL 84 2009 INTEL 81 2010 INTEL 68 2002 INTEL 95 8 2003 INTEL 108 10 2004 INTEL 109 2005 INTEL 136 2006 INTEL 110 8 9 2007 INTEL 178 15 2008 INTEL 162 2009 INTEL 172 2010 INTEL 162 2002 INTEL 74 8 2003 INTEL 83 12 2004 INTEL 86 2005 INTEL 94 2006 INTEL 92 7 8 2007 INTEL 196 14 2008 INTEL 198 2009 INTEL 219 2010 INTEL 236 5 5 6 2007 INTEL 51 13 2008 INTEL 63 2009 INTEL 60 2010 INTEL 72 2001 INTEL 59 2002 INTEL 40 2001 INTEL 72 2002 INTEL 86 2 2003 INTEL 41 15 2004 INTEL 40 2 1 10 10 3 4 6 6 4 7 5 5 0 1 0 Minimum 10 25th Percentile Percentile Median 2 6 10 16 4 0 9 3 2 3 3 3 2 6 5 37 16 22 24 13 13 6 7 3 1 10 6 9 5 4 5 1 6 4 2 2 11 11 2 7 5 8 8 6 0 6 6 8 4 17 14 15 20 12 13 14 16 3 3 1 1 4 5 2 3 4 13 11 30 35 35 37 12 26 27 13 30 13 31 34 35 32 32 32 14 45 34 32 41 35 24 26 21 28 21 22 16 18 25 54 21 35 33 14 22 5 7 5 1 8 14 11 15 19 7 7 3 1 7 7 9 7 1 19 31 27 14 17 18 11 18 28 6 6 10 14 11 16 18 16 23 25 13 18 15 21 16 20 13 16 22 30 18 31 33 15 6 15 24 9 0 20 Maximum 8 25 3 Percentile 22 22 40 8 Percentile 3 6 5 1 2 4 9 1 0 4 9 6 8 8 8 5 1 9 8 95th 14 18 1 2 4 15 75th 7 4 5 4 5 5 5 6 14 7 3 5 2 1 9 9 8 16 10 13 1 4 4 7 7 6 5 3 14 20 2 1 4 7 8 5 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page76 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum Percentile Percentile 1 5 3 7 1 3 3 1 3 3 3 8 2 7 1 6 5 32 33 10 36 22 25 17 13 2005 INTEL 34 2006 INTEL 28 2007 INTEL 33 15 10 12 2008 INTEL 45 3 2009 INTEL 51 2010 INTEL 64 2001 INTEL 98 2002 INTEL 109 9 7 2003 INTEL 67 10 2004 INTEL 59 3 2005 INTEL 49 10 2006 INTEL 51 7 2007 INTEL 66 2008 INTEL 60 2009 INTEL 61 2010 INTEL 67 2001 INTEL 129 2002 INTEL 124 2003 INTEL 75 2004 INTEL 95 4 2005 INTEL 79 11 2006 INTEL 72 5 2007 INTEL 58 12 2008 INTEL 68 7 2009 INTEL 74 2010 INTEL 75 2001 INTEL 92 2002 INTEL 87 2003 INTEL 61 2004 INTEL 69 5 2005 INTEL 77 11 2006 INTEL 64 2 5 9 2007 INTEL 70 17 17 12 14 25th 4 Percentile Percentile Maximum 14 21 17 17 35 26 29 24 27 37 32 16 32 28 41 22 33 24 28 32 36 57 96 44 43 25 42 28 37 39 47 38 69 20 49 33 79 12 10 11 18 22 6 3 29 26 29 13 23 32 12 0 8 24 8 9 3 6 13 0 9 4 2 1 7 8 9 2 7 5 13 13 15 11 11 21 19 23 12 24 20 27 37 22 16 14 11 11 17 5 1 27 11 16 10 15 24 23 26 26 22 27 14 12 11 11 13 3 8 7 9 7 4 0 13 10 14 40 42 18 31 2 4 11 32 10 0 4 3 1 7 9 6 0 9 2 4 4 27 41 18 17 50 47 18 38 Median 9 0 10 10 10 11 14 95th 5 6 6 2 6 1 3 3 4 4 5 75th 15 1 3 6 1 2 16 2 6 5 8 10 4 9 4 6 9 8 7 7 2 9 16 13 4 4 6 6 8 13 11 13 16 6 0 8 35 17 45 6 4 9 15 1 4 11 16 20 6 36 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page77 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount 25th Percentile Percentile 9 6 4 5 0 15 15 28 46 25 36 25 43 17 15 7 6 17 10 Average 5 6 8 2008 INTEL 73 2009 INTEL 70 2010 INTEL 79 2001 INTEL 42 2002 INTEL 45 2003 INTEL 51 2004 INTEL 50 3 2005 INTEL 55 11 2006 INTEL 51 4 2007 INTEL 38 16 2008 INTEL 47 2009 INTEL 53 6 5 2010 INTEL 56 13 2001 INTEL 54 2002 INTEL 41 1 2003 INTEL 25 2004 INTEL 29 2005 INTEL 38 2006 INTEL 36 2007 INTEL 25 2001 INTEL 147 2002 INTEL 144 2 3 2003 INTEL 100 11 2004 INTEL 83 2005 INTEL 74 2006 INTEL 91 0 9 7 2007 INTEL 69 12 2008 INTEL 72 1 2009 INTEL 80 12 2010 INTEL 58 9 2001 INTEL 153 2002 INTEL 149 9 7 2003 INTEL 131 10 8 Minimum 16 3 6 25 14 13 7 2 1 3 19 25 15 19 12 4 3 21 15 0 12 10 17 3 4 7 5 3 7 25 23 15 17 75th 95th Median Percentile Percentile Maximum 1 0 4 5 6 6 9 17 22 11 14 14 16 15 17 19 43 20 19 35 44 35 147 8 3 5 8 13 10 14 21 10 18 12 30 13 62 28 32 20 28 28 20 23 25 20 27 17 23 30 14 24 13 28 23 23 10 27 26 15 24 2 1 9 7 6 2 8 5 6 15 10 2 9 8 2 3 1 1 7 6 5 2 0 7 3 7 4 31 33 18 22 15 13 9 3 12 11 12 10 7 3 6 8 4 6 5 1 7 4 11 12 2 6 19 1 8 9 12 1 15 11 3 5 12 20 9 10 19 20 14 21 7 2 2 0 1 9 0 6 4 11 1 10 5 12 6 9 6 16 5 16 12 17 4 5 2 8 5 5 60 71 82 50 25 45 34 26 53 27 22 29 27 25 66 25 32 21 32 31 26 21 30 32 39 16 31 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page78 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 4 2004 INTEL 126 2005 INTEL 136 2006 INTEL 207 2007 INTEL 168 2008 INTEL 153 2009 INTEL 157 2010 INTEL 149 7 5 9 4 6 6 2001 INTEL 84 12 2002 INTEL 90 8 2003 INTEL 95 12 2004 INTEL 95 2005 INTEL 100 2006 INTEL 167 5 3 2007 INTEL 170 10 2008 INTEL 171 2009 INTEL 169 2010 INTEL 184 5 4 6 2001 INTEL 27 14 2004 INTEL 26 2005 INTEL 29 2006 INTEL 57 8 0 2007 INTEL 67 11 2008 INTEL 65 2009 INTEL 65 2010 INTEL 66 2005 INTEL 26 2007 INTEL 34 2008 INTEL 36 2009 INTEL 42 2010 INTEL 39 2005 INTEL 34 2006 INTEL 29 2007 INTEL 37 4 5 7 4 6 17 13 2 13 14 12 7 8 Minimum 15 7 13 6 15 9 5 50 35 30 24 8 13 4 8 25th Percentile Percentile 19 23 21 13 19 16 10 4 18 10 27 7 8 3 2 7 1 1 4 11 18 12 6 5 4 8 4 0 4 7 7 2 8 5 5 2 5 5 2 5 52 30 42 12 2 8 1 6 6 5 4 0 0 6 2 12 11 1 2 3 4 4 12 10 13 12 5 5 4 2 0 4 1 Percentile 7 3 8 4 6 4 15 14 5 Percentile 7 25 27 11 95th 1 5 7 1 7 4 3 18 18 15 17 12 Median 7 3 0 6 1 1 2 13 3 5 1 2 75th 5 8 4 8 11 8 3 2 4 2 7 6 10 13 10 5 4 5 8 8 9 2 6 12 2 2 11 15 12 7 3 5 7 9 14 10 27 20 11 12 11 18 19 18 13 12 0 8 7 4 6 15 18 19 14 13 14 1 1 15 10 19 18 15 15 33 29 19 23 41 26 17 21 Maximum 39 32 32 29 17 26 20 7 25 36 40 26 38 24 21 19 18 18 11 16 61 48 39 29 18 34 39 23 29 49 31 23 23 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page79 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 3 7 9 2008 INTEL 42 2009 INTEL 41 2010 INTEL 49 2005 INTEL 25 2007 INTEL 32 2008 INTEL 40 2009 INTEL 39 2010 INTEL 44 2008 INTEL 26 2009 INTEL 28 2010 INTEL 29 2001 INTEL 57 2002 INTEL 39 2001 INTEL 149 2002 INTEL 133 1 2003 INTEL 111 12 2004 INTEL 99 1 2005 INTEL 90 10 2006 INTEL 71 9 2007 INTEL 45 15 2008 INTEL 37 2 2009 INTEL 38 15 2010 INTEL 28 9 2001 INTEL 207 2002 INTEL 174 6 5 2003 INTEL 178 11 2004 INTEL 182 3 2005 INTEL 204 10 2006 INTEL 165 4 2007 INTEL 141 11 2008 INTEL 118 2009 INTEL 126 2010 INTEL 108 15 15 6 9 7 9 9 9 3 1 3 3 7 9 Minimum 9 2 4 1 5 4 4 25th Percentile Percentile 4 0 1 1 2 0 3 4 7 9 1 4 4 2 3 5 5 4 8 6 7 3 3 2 9 1 8 4 39 30 10 23 14 10 19 22 19 22 12 11 13 13 13 0 1 1 5 3 2 2 13 4 9 4 25 20 15 22 15 17 12 15 6 24 3 9 3 10 7 4 0 9 1 6 1 7 5 12 0 5 3 7 2 2 6 6 5 0 6 1 3 4 75th 95th Median Percentile Percentile 3 8 7 6 9 12 11 21 19 6 21 10 9 4 1 16 30 42 30 30 22 21 31 35 28 20 16 29 20 25 14 24 23 30 13 27 27 11 1 9 10 16 26 4 9 2 0 7 14 10 17 24 15 25 14 18 20 10 13 4 8 6 7 9 7 5 1 2 2 7 11 9 15 12 12 9 5 8 5 9 17 8 16 17 22 1 10 15 1 14 3 8 6 6 5 8 8 11 13 Maximum 12 17 36 44 65 34 22 24 32 37 30 21 20 59 27 28 27 35 25 32 21 35 27 59 20 77 31 32 23 31 30 27 41 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page80 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2001 INTEL 181 2002 INTEL 206 5 8 2003 INTEL 204 14 2004 INTEL 206 3 2005 INTEL 227 10 2006 INTEL 219 3 2007 INTEL 202 14 2008 INTEL 192 2009 INTEL 175 2010 INTEL 161 2001 INTEL 102 2002 INTEL 121 2003 INTEL 128 2004 INTEL 140 5 2005 INTEL 126 10 2006 INTEL 125 0 2007 INTEL 125 15 2008 INTEL 131 2009 INTEL 141 2010 INTEL 136 2002 INTEL 31 2003 INTEL 37 2004 INTEL 42 7 2005 INTEL 46 16 2006 INTEL 47 2 2007 INTEL 43 18 2008 INTEL 45 2009 INTEL 40 2010 INTEL 42 2001 INTEL 29 2002 INTEL 36 2003 INTEL 50 2004 INTEL 54 4 7 7 7 12 12 6 5 7 12 11 5 2 9 2 14 14 5 Minimum 41 41 26 29 7 12 3 13 6 3 41 48 28 40 25 13 17 18 32 25th Percentile Percentile Median 95th Percentile Percentile Maximum 0 28 10 27 61 42 21 31 14 15 10 8 6 6 2 13 19 13 3 9 2 1 7 13 10 13 17 22 14 23 12 16 17 33 5 1 7 3 7 1 0 3 4 4 6 5 27 38 15 22 20 8 8 6 3 12 10 12 5 2 4 6 9 7 8 6 4 1 39 17 32 39 16 27 0 1 39 22 2 75th 4 10 5 7 10 9 3 4 18 1 13 2 3 13 17 11 6 5 5 21 12 15 12 7 9 1 1 4 4 9 8 7 3 9 9 7 19 6 2 10 19 3 4 14 20 11 1 2 1 8 7 2 9 14 38 6 5 12 19 10 15 13 18 41 24 10 5 1 30 16 44 15 42 17 9 8 6 13 3 6 113 57 13 62 19 16 19 44 47 59 63 57 26 20 29 57 47 41 15 75 32 76 30 24 25 40 35 16 67 41 65 30 22 24 51 1 5 30 10 67 12 9 32 10 24 11 27 19 19 18 10 28 0 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page81 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2005 INTEL 53 2006 INTEL 38 9 4 2007 INTEL 32 16 2008 INTEL 32 2009 INTEL 27 2010 INTEL 31 2001 INTEL 32 2002 INTEL 35 2003 INTEL 33 2004 INTEL 2005 INTEL 2006 INTEL 28 2008 INTEL 28 2009 INTEL 27 2 7 0 2010 INTEL 25 10 2001 INTEL 26 2010 INTEL 30 2001 INTEL 30 2001 INTEL 52 2002 INTEL 36 2003 INTEL 26 2001 INTEL 47 2002 INTEL 44 2003 INTEL 44 2004 INTEL 43 2005 INTEL 44 2006 INTEL 39 7 4 2007 INTEL 31 11 2008 INTEL 26 4 2001 INTEL 46 12 2002 INTEL 41 2003 INTEL 31 2004 INTEL 26 Minimum 25th Percentile Percentile 1 0 17 13 9 3 13 1 3 6 11 0 6 5 18 42 32 15 13 22 34 25 44 43 17 35 18 2 9 27 12 13 27 9 1 0 4 2 9 8 3 9 7 4 8 9 6 7 19 13 2 11 1 4 4 4 3 0 7 1 8 31 26 24 26 3 9 6 19 15 15 12 0 7 8 2 4 12 13 10 1 9 9 7 3 2 12 15 19 23 29 12 24 22 25 76 18 19 22 61 43 31 14 68 89 26 14 35 4 13 1 20 19 37 17 13 20 51 40 31 14 54 32 22 13 15 19 21 24 29 13 28 11 10 12 11 18 6 22 13 13 Maximum 15 8 0 Percentile 12 11 4 5 7 7 Percentile 12 3 6 2 0 5 4 5 95th 6 7 2 2 7 9 7 Median 6 2 9 5 6 2 6 4 6 1 75th 17 8 12 9 12 1 7 5 3 2 9 2 6 2 12 11 11 15 10 20 11 1 3 9 12 5 1 9 5 10 4 13 6 9 4 1 10 15 7 10 2 13 0 4 14 18 33 12 27 19 6 27 30 35 20 23 13 11 7 22 8 5 20 18 50 14 29 23 7 28 44 36 21 29 19 18 9 31 14 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page82 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 7 2 2005 INTEL 38 2006 INTEL 28 2007 INTEL 30 2008 INTEL 26 2001 INTEL 48 2002 INTEL 26 4 4 2003 INTEL 37 20 2004 INTEL 38 2001 INTEL 101 2002 INTEL 57 1 2003 INTEL 66 13 2004 INTEL 77 2005 INTEL 54 2006 INTEL 34 8 5 2007 INTEL 28 12 2001 INTEL 118 2002 INTEL 104 8 6 2003 INTEL 106 13 2004 INTEL 99 2005 INTEL 53 2006 INTEL 36 2007 INTEL 29 2010 INTEL 26 2001 INTEL 95 2002 INTEL 2003 INTEL 2004 INTEL 112 3 2005 INTEL 45 2006 INTEL 32 2001 INTEL 37 2002 INTEL 37 9 2003 INTEL 45 16 2004 INTEL 45 11 11 2 1 1 Minimum 1 14 25th Percentile Percentile 1 9 3 1 5 0 18 23 11 13 3 1 15 20 23 13 17 15 14 19 4 6 1 22 35 13 26 4 3 7 7 8 2 9 7 10 2 8 8 7 3 0 7 20 24 15 12 2 15 3 5 1 8 3 9 6 7 1 13 10 2 3 85 8 8 2 4 7 8 3 1 4 3 24 23 15 15 87 10 10 39 36 18 36 10 6 8 6 7 10 41 30 25 30 39 30 12 20 3 5 13 6 15 75th 95th Percentile Percentile Maximum 5 0 10 10 10 14 16 11 10 28 15 14 22 22 43 33 53 13 31 14 31 16 24 18 25 19 23 26 22 55 34 64 26 81 21 68 38 26 38 27 32 20 88 40 29 20 22 24 86 42 27 45 42 59 18 54 97 24 Median 2 2 17 7 2 4 2 2 10 11 18 3 2 5 7 2 13 11 11 16 5 1 10 18 11 4 8 1 8 4 9 3 1 12 5 12 8 7 7 4 1 7 4 3 11 16 4 0 10 12 15 18 12 7 9 2 3 13 20 10 5 4 8 1 8 14 30 7 20 16 19 19 12 10 24 10 33 19 10 4 92 11 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page83 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2005 INTEL 25 8 2007 INTEL 26 11 2008 INTEL 29 2009 INTEL 27 2010 INTEL 28 2005 INTEL 32 2006 INTEL 37 2007 INTEL 39 2008 INTEL 34 2009 INTEL 32 2010 INTEL 36 2005 INTEL 43 2006 INTEL 52 8 6 9 3 6 9 8 5 2007 INTEL 79 12 2008 INTEL 93 6 2009 INTEL 95 10 2010 INTEL 103 2006 INTEL 28 8 4 2007 INTEL 34 14 2008 INTEL 42 2009 INTEL 43 2010 INTEL 51 6 6 7 2010 INTEL 28 10 2001 INTEL 43 0 2001 INTEL 26 2001 INTEL 26 7 2 2005 INTEL 39 12 2006 INTEL 41 7 2007 INTEL 30 12 2008 INTEL 26 2004 INTEL 30 2005 INTEL 51 2006 INTEL 47 5 12 13 1 4 8 5 Minimum 6 1 4 1 3 0 12 2 11 6 5 5 7 2 6 3 3 15 15 6 7 3 2 16 18 16 0 12 25th Percentile Percentile 1 0 1 5 2 1 5 1 8 5 1 5 4 4 4 1 0 12 2 3 4 3 6 0 6 4 3 1 6 1 2 4 2 1 9 1 5 4 2 10 1 0 1 3 4 8 15 18 15 11 12 10 1 8 1 1 10 16 15 0 5 1 7 0 4 0 7 4 7 4 1 75th Median 6 10 4 10 8 5 4 8 4 7 7 6 6 10 5 8 6 2 95th Percentile Percentile Maximum 13 18 23 21 23 25 32 16 19 17 12 14 25 33 15 23 22 22 19 21 27 17 17 15 19 29 27 24 26 26 34 34 20 28 13 15 35 33 21 42 34 31 38 46 63 31 20 20 25 39 27 28 21 26 36 34 24 30 10 11 20 19 6 18 23 11 9 13 7 10 12 12 9 14 9 13 11 9 13 15 10 10 11 12 3 7 6 8 10 19 14 17 4 4 6 9 7 10 1 4 8 6 3 1 4 0 8 5 12 17 14 1 9 9 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page84 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page85 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 13 22 13 17 2006 INTUIT 34 2005 INTUIT 28 2006 INTUIT 26 2007 INTUIT 31 2008 INTUIT 31 2009 INTUIT 34 2010 INTUIT 32 23 18 2007 INTUIT 42 9 2008 INTUIT 38 4 2009 INTUIT 47 11 2010 INTUIT 46 9 2006 INTUIT 53 2007 INTUIT 27 2006 INTUIT 26 2001 INTUIT 47 2002 INTUIT 27 2003 INTUIT 38 2004 INTUIT 40 2005 INTUIT 25 2001 INTUIT 39 2002 INTUIT 45 2003 INTUIT 44 20 29 12 13 2004 INTUIT 31 4 2005 INTUIT 30 2006 INTUIT 37 2007 INTUIT 57 21 11 17 2008 INTUIT 56 1 2009 INTUIT 52 17 2010 INTUIT 54 2003 INTUIT 187 2004 INTUIT 184 2005 INTUIT 173 10 16 2006 INTUIT 152 7 1 11 10 11 32 21 8 3 6 8 Minimum 14 25th Percentile Percentile 4 10 3 3 23 16 17 20 19 13 21 14 15 14 27 17 67 11 23 22 23 13 15 7 19 11 21 9 12 13 9 11 57 5 15 18 7 7 57 32 26 16 49 24 16 16 0 0 11 10 19 13 16 24 18 14 12 15 7 2 7 11 9 7 3 8 75th 95th Median Percentile Percentile 10 10 21 4 3 15 23 30 21 27 7 4 24 11 39 39 13 11 1 4 1 12 8 7 6 8 3 2 1 4 1 3 12 44 16 36 24 11 14 41 8 1 1 3 11 5 4 6 7 4 1 3 8 3 4 5 18 17 23 18 23 27 31 14 3 4 19 35 16 12 27 25 28 24 9 8 2 20 12 16 0 16 3 6 8 13 6 7 27 19 25 6 27 11 13 17 23 15 39 75 62 38 36 52 57 46 13 44 33 30 43 34 13 35 44 12 45 17 37 38 30 40 30 44 18 49 32 31 29 37 26 Maximum 44 75 62 70 55 68 121 77 19 56 51 30 44 50 157 54 56 24 45 77 40 45 30 40 32 65 28 63 70 60 45 67 48 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page86 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 2007 INTUIT 198 17 2008 INTUIT 170 6 2001 INTUIT 100 22 2002 INTUIT 140 2003 INTUIT 38 8 5 2009 INTUIT 172 17 2010 INTUIT 162 5 2001 INTUIT 122 31 2002 INTUIT 170 2003 INTUIT 49 2001 INTUIT 91 2002 INTUIT 116 2003 INTUIT 32 2003 INTUIT 61 2004 INTUIT 66 2005 INTUIT 68 2006 INTUIT 74 2007 INTUIT 54 14 10 11 2008 INTUIT 54 9 2001 INTUIT 36 19 2002 INTUIT 51 2010 INTUIT 29 5 4 2002 INTUIT 38 18 2003 INTUIT 44 2004 INTUIT 38 2005 INTUIT 36 2002 INTUIT 33 2003 INTUIT 42 17 10 17 2004 INTUIT 48 8 2005 INTUIT 53 2006 INTUIT 52 2007 INTUIT 59 16 15 15 2008 INTUIT 68 0 8 7 35 14 2 7 4 6 1 Minimum 13 24 59 44 14 25 26 62 49 26 65 42 18 19 10 4 14 16 11 56 25 11 36 39 23 9 31 25th Percentile Percentile 3 10 51 24 14 6 13 55 26 13 57 25 16 8 8 2 7 8 10 52 24 6 95th Median Percentile Percentile Maximum 6 1 13 27 14 111 39 26 47 26 17 35 23 54 35 3 3 5 6 45 0 5 46 1 10 0 0 9 1 0 2 38 10 1 4 3 4 6 7 26 12 28 25 20 6 6 8 3 4 20 23 13 15 8 11 10 75th 0 3 11 6 3 8 5 6 5 13 2 36 6 6 37 11 1 5 3 14 8 9 7 27 0 1 6 21 16 25 15 24 21 13 27 30 10 16 7 17 20 18 19 9 17 13 14 17 10 33 15 10 25 24 23 16 21 24 22 3 5 15 4 0 18 14 10 4 7 44 56 47 23 65 50 127 40 42 51 46 15 55 30 32 18 37 35 36 32 13 45 25 84 55 23 44 41 67 35 35 37 58 21 130 6 40 38 27 42 39 43 32 104 59 25 112 67 30 44 70 142 47 36 47 65 47 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page87 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average 23 2009 INTUIT 67 2010 INTUIT 71 2008 INTUIT 30 2003 INTUIT 186 2004 INTUIT 272 2005 INTUIT 307 2006 INTUIT 384 2007 INTUIT 444 2008 INTUIT 449 0 2009 INTUIT 294 13 2010 INTUIT 293 2004 INTUIT 37 2 3 2005 INTUIT 65 14 2006 INTUIT 83 8 2007 INTUIT 101 11 2008 INTUIT 97 1 2006 INTUIT 34 12 2007 INTUIT 55 2008 INTUIT 71 6 3 2009 INTUIT 59 16 2010 INTUIT 57 2004 INTUIT 39 1 3 2005 INTUIT 39 11 2006 INTUIT 39 2007 INTUIT 41 2008 INTUIT 34 2003 INTUIT 89 2004 INTUIT 104 9 2 1 6 2 2005 INTUIT 134 15 2006 INTUIT 164 8 2007 INTUIT 189 12 2008 INTUIT 222 2 2009 INTUIT 213 15 5 2 9 2 14 10 12 Minimum 16 24 12 22 23 11 23 23 27 13 35 17 10 28 18 18 25th Percentile Percentile 6 19 12 15 13 0 8 7 12 6 17 14 0 13 7 13 7 1 6 8 4 59 11 10 10 8 13 10 8 5 0 12 12 33 18 23 51 27 23 18 20 15 8 2 8 4 10 11 17 8 7 7 6 0 5 7 2 2 6 5 8 2 6 2 2 6 6 1 2 9 2 3 6 4 1 5 0 6 7 2 1 8 5 75th 95th Median Percentile Percentile Maximum 21 36 17 51 41 24 38 20 34 31 45 15 39 35 22 32 35 37 14 34 22 20 48 26 17 25 25 12 11 36 32 36 28 44 14 44 89 70 40 74 40 53 46 80 70 85 66 26 44 49 46 31 35 28 28 68 35 25 33 26 15 11 48 47 83 59 98 25 2 2 4 6 1 17 12 9 9 19 17 19 11 20 1 8 9 13 10 20 16 20 3 1 10 17 11 2 3 7 4 1 11 0 3 9 7 1 1 4 6 4 6 21 4 9 16 14 6 7 13 1 7 14 22 17 20 7 10 3 2 13 24 129 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page88 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount Average Minimum 25th Percentile Percentile 2010 INTUIT 222 2008 INTUIT 27 1 1 2009 INTUIT 25 15 2010 INTUIT 30 2007 INTUIT 41 2008 INTUIT 43 3 3 1 2009 INTUIT 38 23 2010 INTUIT 37 2006 INTUIT 36 2007 INTUIT 25 11 10 2008 INTUIT 28 4 2009 INTUIT 27 10 2010 INTUIT 25 5 2001 INTUIT 41 INTUIT 40 22 12 51 2002 4 2003 INTUIT 46 3 9 2001 INTUIT 32 30 2002 INTUIT 29 2003 INTUIT 27 2002 INTUIT 36 12 45 30 18 22 12 44 13 18 12 2003 INTUIT 32 2002 INTUIT 27 2003 INTUIT 25 2001 PIXAR ANIMATOR 47 2002 PIXAR ANIMATOR 54 2003 PIXAR ANIMATOR 60 2004 PIXAR ANIMATOR 60 2005 PIXAR ANIMATOR 61 2006 PIXAR ANIMATOR 84 2007 PIXAR ANIMATOR 68 2008 PIXAR ANIMATOR 87 2009 PIXAR ANIMATOR 85 2010 PIXAR ANIMATOR 85 2 9 7 15 15 8 5 12 24 15 22 26 4 3 7 11 12 31 15 15 31 21 13 19 13 9 21 17 11 Percentile Percentile Maximum 1 1 7 3 28 15 31 36 23 30 21 54 21 26 22 19 32 14 14 41 14 53 68 55 Median 1 1 9 13 5 11 17 29 2 2 10 6 2 4 6 6 4 1 5 2 16 15 50 39 8 6 19 1 0 1 1 16 14 10 14 1 1 66 85 77 64 25 15 26 62 82 72 14 18 12 24 4 8 6 0 5 8 5 95th 1 29 2 8 9 5 4 10 75th 3 3 9 2 8 4 22 6 13 9 5 3 5 6 4 18 39 35 31 21 17 31 23 15 10 15 15 11 57 36 13 1 0 0 3 0 2 8 12 18 15 10 9 7 12 7 7 9 8 4 17 12 7 11 14 15 36 20 0 8 6 6 29 20 65 31 21 18 19 22 33 31 63 37 27 36 35 33 17 17 59 14 14 37 20 75 31 22 18 41 1 595 200 82 96 120 132 84 67 18 28 37 2 5 7 51 33 10 11 14 16 23 27 1 102 5 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page89 of 112 Appendix B Distribution of Yearly Change in Total Compensation Job Titles in Leamer Supplemental Report Regressions 5th Year Employer Job Title Headcount 2006 PIXAR ARTIST STORY 25 2007 PIXAR ARTIST STORY 30 2008 PIXAR ARTIST STORY 28 2009 PIXAR ARTIST STORY 31 2010 PIXAR ARTIST STORY 2001 PIXAR 2002 2003 Average 1 Minimum 25th Percentile Percentile 3 19 16 20 25 14 11 6 0 ENGINEER SOFTWARE 40 1 6 1 PIXAR ENGINEER SOFTWARE 53 PIXAR ENGINEER SOFTWARE 60 2004 PIXAR ENGINEER SOFTWARE 41 2005 PIXAR ENGINEER SOFTWARE 30 14 24 43 30 55 62 86 63 2006 PIXAR ENGINEER SOFTWARE 37 5 2007 PIXAR ENGINEER SOFTWARE 38 2008 PIXAR ENGINEER SOFTWARE 41 2009 PIXAR ENGINEER SOFTWARE 45 2010 PIXAR ENGINEER SOFTWARE 61 2001 PIXAR TECHNICAL DIRECTOR 120 2002 PIXAR TECHNICAL DIRECTOR 125 2003 PIXAR TECHNICAL DIRECTOR 122 2004 PIXAR TECHNICAL DIRECTOR 146 2005 PIXAR TECHNICAL DIRECTOR 163 2006 PIXAR TECHNICAL DIRECTOR 163 2007 PIXAR TECHNICAL DIRECTOR 155 2008 PIXAR TECHNICAL DIRECTOR 170 2009 PIXAR TECHNICAL DIRECTOR 190 2010 PIXAR TECHNICAL DIRECTOR 256 2008 PIXAR TECHNICAL DIRECTOR LEAD 28 2009 PIXAR TECHNICAL DIRECTOR LEAD 33 Notes Source Job titles shown include Dr those with at least 25 employees in a given year Leamer’s backup data Leamer Supplemental Report Exhibits 1 and 2 3 4 9 11 10 0 7 18 41 23 4 1 9 15 12 19 13 17 12 17 75th Median 1 13 10 10 11 0 1 23 22 24 11 17 18 22 15 10 15 0 34 2 45 4 12 14 15 40 24 1 0 18 24 30 32 23 21 23 6 37 43 17 19 56 64 76 69 57 20 16 22 Maximum 11 53 59 80 13 61 71 81 80 71 28 53 30 14 12 37 Percentile 10 9 2 1 Percentile 14 7 0 95th 8 9 5 24 11 17 17 6 13 8 16 10 5 23 8 5 7 12 11 9 10 14 15 56 24 0 4 11 14 10 18 11 1 15 16 15 15 11 62 37 15 2 5 12 11 15 16 13 73 39 14 5 6 20 16 13 19 121 41 44 27 133 563 3 3 94 96 65 27 146 113 6 25 25 27 22 1 106 84 47 37 19 32 31 11 28 96 38 29 30 42 199 272 205 167 147 112 121 53 53 71 7 41 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Appendix C Page90 of 112 Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Page91 of 112 CurriculumVitae Kevin M Murphy June 2013 Home Address Business University Address of Chicago 1810 Pennington Court Booth School of Business New 5807 South Woodlawn Avenue Chicago Illinois 60637 murphy chicagobooth email kevin Lenox Illinois 60451 Phone 815463 4756 Fax 815463 4758 edu Current Positions July 2005 Present George J Stigler Distinguished of Economics Service Professor Department of Economics and Booth School of Business University Research Associate Faculty Bureau of Economic National of Chicago Research Education University of California Los Angeles University of Thesis Previous Topic Chicago D Ph Specialization and and Academic Research 2002 2005 George J Stigler A B Economics 1981 1986 Human Capital Positions Professor of Economics Department of Economics and Booth School of Business University of Chicago 1993 2002 George Relations 1989 University 1993 Pratt Shultz Professor of Business Economics and Industrial of Chicago Professor of Business Associate Professor Economics and Industrial Relations University Chicago 1988 1989 University of Chicago of Business Economics and Industrial Relations of Case5 11 cv 02509 LHK 1986 1988 University Document440 Assistant Professor Filed06 21 13 2 of Business Economics and Page92 of 112 Relations Industrial of Chicago 1983 1986 1982 1983 Teaching Associate Department 1979 1981 Research Booth School of Business University Lecturer of of Chicago Economics of Chicago University Unicon Research Corporation Santa Monica Assistant California Honors and Awards 2008 John von Neumann Lecture 2007 Kenneth J Arrow Award Award with Robert October 2005 Garfield Research Prize September 1998 College Corvinus University Budapest H Topel with Robert H Topel 2005 MacArthur Foundation Fellow Elected 1997 John Rajk Academy to the American Bates of Arts Sciences Clark Medalist 1993 Fellow of The Econometric Society 1989 1991 Sloan 1983 1984 Earhart 1981 1983 Fellowship Friedman Fund 1980 1981 Phi Beta 1980 1981 Earhart 1979 1981 Department Scholar Department Foundation Fellowship University of Chicago Foundation Fellowship University Kappa University University of Chicago of California Los Angeles Foundation Fellowship University of of Chicago of California Economics Los University Angeles of California Los Angeles Publications Books Social Economics Market Behavior Cambridge MA Harvard University in a Social Environment Press Measuring the Gains from Medical Research with Robert H Topel Chicago University with Gary S Becker 2000 An Economic Approach of Chicago Press 2003 edited volume Case5 11 cv 02509 LHK Document440 Filed06 21 13 2 Page93 of 112 Articles Government of Market Law of in and Economic Business Unemployment Labor Journal and Inference Estimation Journal of Cigarette Health Regulation Schneider 24 Lynne Two Step Statistics H Topel pp 103139 ed Kevin Markets and Economics 575 Risk and Earnings with Robert Information Klein and 1981 Models Econometric with Robert H Topel 3 1985 370 Testing in with Benjamin Wage for Equalizing Unemployment Lang and Jonathan Differences in the and the Structure of Labor S Leonard London Basil Blackwell 1985 H 1987 The Evolution Topel in NBER MA MIT Unemployment of in the United pp 11 58 Annual Macroeconomics States 1968 ed with Robert Stanley Fischer Cambridge 1987 Press Cohort Size and Earnings in the United States with Mark Plant and Finis Welch in Economics Ronald of Changing D Lee W The Family and A Theory Age Distributions Brian Arthur and Gerry the State with Gary Addiction of Rational in Developed pp 39 58 ed Clarendon Press 1988 Countries Rodgers Oxford S Becker with Gary 31 Journal S Becker of 96 Law and Economics Journal of Political 1988 1 Economy 675 1988 Vertical Restraints and Contract and Economics 265 Income Robert Wage Enforcement with Benjamin Klein 31 Journal Law of 1988 Market Size and Industrialization Distribution W Vishny 104 Quarterly Journal of Economics 537 with Andrei Shleifer and 1989 Premiums for College Graduates Recent Growth and Welch 18 Educational Researcher 17 1989 Possible Explanations Andrei Shleifer and Robert W Vishny 97 with Finis Industrialization and the Big Journal of Building Robert Political Economy 1003 Push with 1989 Blocks of Market Clearing Business Cycle W Vishny in NBER Macroeconomic Blanchard and Stanley Fischer Cambridge Efficiency in Advances Models with Andrei Shleifer pp 247 87 ed Olivier Jean MA MIT Press Wages Reconsidered Theory and Evidence in the Theory and Measurement Weiss and Gideon Fishelson London and Annual of 1989 with Robert Unemployment Macmillan 1990 H Topel pp 204 240 ed Yoram Case5 11 cv 02509 LHK Age Earnings Empirical Document440 Filed06 21 13 2 Profiles with Finis Welch 8 Journal of Page94 of 112 Labor Economics 202 1990 Human Capital Tamura 98 Accounting pp 107143 ed 1991 The Role in Workers Changing W Vishny Michael Wages 106 in Institute of Talent Implications Quarterly Journal Grossman 81 American for Economic Graduates of College 12140 ed Publishers E Becker William in F with Chinhui Juhn the United in Enterprise States Institute Welch Finis pp 39 69 ed over Growth with Time in Workers Marvin Kosters H with Robert 1991 75 Activity Andrei Shleifer and Robert 1991 and the Effect of Price on Consumption Addiction and Robert 1991 Increased Economics 503 of States Papers on Economic Brookings Patterns with Differentials the United Enterprise S Becker Convergence Changing DC American Rate of Unemployment the Natural Allocation Rational Patterns DC American Topel and Chinhui Juhn 2 The Wages Trade in Wage of International Has Black White Wage in and Their Gary 1990 S12 Marvin Kosters Washington Wages Washington Why Economy Slowdown for the and Brooks Pierce and Their Political of Growth with and Economic Fertility Journal with Gary S Becker and 1991 Review 237 pp The Economics of American Higher Education Lewis Boston Kluwer Academic R 1992 Changes Katz 107 in The The Transition Journal Wages Structure of Shleifer The to and Robert Division Quarterly of Journal Industrial Wages 1963 1987 Supply and Demand Factors Relative Quarterly of Wage 101 with Finis Welch 107 Economy 107 with Lawrence Economics 1137 the Rising in Pitfalls Quarterly Quarterly of Partial Journal of Journal 285 1992 Reform with 1992 Andrei of Planning Economics Economics 889 Importance America Economy in 410 S Becker 107 1992 of Skill pp 101 132 ed Russell Sage Foundation and the Rise Political F 1992 Labor Coordination Costs and Knowledge with Gary New York of Economics 35 W Vishny Change and Inequality Journal of a Market Tides Rising Inequality Danziger and Darrell with Finis Welch Peter Gottschalk Publications in Uneven and Sheldon 1993 Returns to Skill with Chinhui Juhn and Brooks Pierce 1993 Case5 11 cv 02509 LHK Document440 Change and Occupational for Skill 1940 1990 Page95 with Finis of 112 Welch 83 1993 Wages and Relative Inequality Demand the Economic Review 122 American Filed06 21 13 2 with Finis Welch 83 American Economic Review 104 1993 Why Is Rent Seeking Vishny 83 A Simple Journal of American So Costly to Growth Theory of Advertising as a with Andrei Shleifer W and Robert 1993 Review 409 Economic Good or Bad with Gary S Becker 108 Quarterly 1993 Economics 941 Relative Wages and Skill Demand 19401990 with Chinhui Juhn in Labor Markets Employment Policy and Job Creation pp 34360 ed Lewis Solmon and Alec C Levenson The Milken Westview Cattle Empirical Analysis of Cigarette Grossman 84 in with Chinhui Labor Market Outcomes Juhn 1 Social Journal Wage Status The Economy Inequality Quality and Political of S Becker and Michael the 1980s and Earlier Decades 1995 26 Hike with Donald R Deere and Effects of the and 108 Finis 1995 R Deere MinimumWage on Employment pp 26 54 ed Growth with 1996 Chaim Fershtman and Yoram Weissm 104 1996 and Family Labor Supply with Chinhui Juhn 15 Journal of Labor 1997 Trade with Inequality Economics 72 Journal on Minimum Wages and Employment with Donald Education Political Economics 72 Wage Review Review 232 Economic in Policy 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Edward Glaeser 89 with Steven J Davis 90 American 2000 Change and Industrial with 1998 and Economic Consequences Canada and Economic the Social Security Crisis and Proposed Economic Review 142 Population States and in General Purpose Technologies 309 ed Elhanan Helpman Cambridge American Filed06 21 13 2 1997 Review 295 Wages and Document440 the Demand of Increasing for Skill Welch in The Causes and Welch Volume II in the with Finis pp 26384 ed Inequality Bush School Series in the Economics of Public Finis Policy Chicago University of Chicago 2001 Press Wage Differentials Welch the 1990s II in the Bush School Economic with Steven Economy on Perspectives J Davis Increasing of Software Public ed Finis Welch Policy Chicago Design PC Operating Systems and Platforms and Jack MacCrisken Selected Essays pp 341 64 Inequality Economics of Series in the Finis 2001 of Chicago Press University Empty with Is the Glass Half Full or Half The Causes and Consequences in Volume in in Microsoft pp 361 420 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2001 Reserve Bank of Kansas City Press Articles The Education Gap Rap The American Antitrust with Gary Rethinking MarchApril 1990 pp 62 Enterprise S Becker Wall 26 2001 February Journal Street pp pA22 Prosperity Will Rise The Economics the request Articles Out Ashes with of the S Becker Gary Wall Street Journal 29 2001 pp pA22 October NFL Team of of the National Ownership Football with Robert League Players H Topel Association report prepared at 2009 January About Murphy Higher Learning March 12 1989 the Middle Class Is Extensive reference Unequal Business One Means Higher Earning by pp 1 Section Long article Kleiman Chicago Carol The about Tribune Wages Structure of with Murphy picture of Why Clearly Jobs to Anxious section in pp 1 17 1992 to Fortune Is Business on income piece Anothers Section May 21 1990 pp 106 education US by Louis Uchitelle New Long Rags to Riches Studys Times June S Richman Murphy’s work on returns Pay Widespread Day by Louis York Times August 14 1990 inequality 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America Marketing America Marketing FSI aa a News LLC and American Marketing United States Third Circuit Court of Michigan Detroit News In Store Division No 07 706645 Declaration of Kevin Litigation The United Declaration submitted judgment M Murphy August States District in support 14 2009 in the Matter of Court for the Northern of defendant EBay Seller Antitrust District of California Ebay Inc s motion for summary Case5 11 cv 02509 LHK S Jerrold and Filed06 21 13 2 M Murphy August 21 2009 Expert Report of Kevin Inc Document440 Kaplan v in the Matter of The Corporation Microsoft Page102 112 of Go Computer Court for the Superior State of California for the City and County of San Francisco M Murphy Deposition of Kevin v Incorporated District 16 2009 in the Matter of Novell The United States District Court Northern September Corporation Microsoft of Maryland M Murphy Deposition of Kevin The United Antitrust Litigation September 21 2009 California Deposition in support Ebay Inc s motion of defendant Ebay in the Matter of Court for the Northern States District Seller District for of summary judgment M Murphy September Expert Report of Kevin 29 2009 in Temperature Sales Litigation The United States Trial M Murphy October Testimony of Kevin and Meritor TransmissionCorporation Court of Delaware Declaration of Kevin Court of Kansas District 1 2009 ZF in the Matter of The United Eaton Corporation M Murphy October The United California Declaration Fuel LLC Meritor States District No 06 CV 623 Case Antitrust Litigation v Motor the Matter of in 16 2009 further support in the Matter Ebay of Court for the Northern States District Ebay Inc s motion of defendant Seller District for of summary judgment Expert Report of Kevin Devices Intel Inc and Kabushiki Kaisha The United Deposition of Kevin and S Jerrold M Murphy October AMD International Kaplan M Murphy v Microsoft Sales 20 2009 States District October Intel Court for the 24 2009 Corporation in the Matter of LTD v Service in 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Division II The of Kevin al The United the Matter of Automobile in Court of the State of California for Court Southern M Murphy District April Inc The United v New or Transfer 2010 Electric Group Inc et New York the Matter of Payment in for the and Affiliates Antitrust Litigation The United Card States District York M Murphy June 1 2010 Court for the Control of District InStore District M Murphy June 21 2010 Comcast Corporation General Assign Licenses the Matter of the Application in News America Marketing States District Expert Report of Kevin 13 14 Discount of Supplemental Expert Report of Kevin Insignia Systems 2 2010 April Fees for The Cromwell License Fee and Merchant Court for the Eastern 2010 28 2010 United States Superior M Murphy States District Deposition of Kevin Interchange January of San Francisco Determination of Interim to aa No 07 706645 Declaration the Inc Services United States Third Circuit Court of Michigan Detroit in the Matter of Inc June corrected of Minnesota in 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Pennsylvania Response of Kevin 19 2010 M Murphy Company and of Licensees NBC Universal Inc Federal Louis et al v in the and Michael Katz August for Consent to Assign Licenses Electric or Transfer Control Commission M Murphy September 14 2010 in the Matter of City of Co et al The Circuit Court of American Tobacco al St St Louis the City of of Missouri State Deposition of Kevin et Israel Comcast Corporation General of Communications Expert Report of Kevin et MD 2004 212 Reply Report of Mark to in the Matter of Applications Inc Products Pharmaceutical No of al v M Murphy American Tobacco Co 24 2010 September al The et in the Matter of City of St Louis Court of the City of St Louis State of Circuit Missouri Supplemental Expert Report of Kevin Commonwealth General of the Commonwealth al in the Commonwealth Expert Report of Kevin Hampshire v between Cordis Conflict Prevention between Cordis Conflict Prevention Trial M Murphy October for Conflict of Kevin 4 2010 of Hampshire Superior New Court in the Matter of the Arbitration CPR Vascular Inc MD 2004 in the Matter of State New of Products Pharmaceutical 212 International Institute for Resolution M Murphy October 7 2010 in the Matter CPR Vascular of the Arbitration International Institute for Resolution M Murphy November Cordis 8 2010 Corporation and Abbott M Murphy November v BP Court for the Northern in the Matter of the Vascular CPR International Resolution Prevention Management Company Inc District No 1 2010 State M Murphy October Testimony of Kevin Declaration al The Corporation and Abbott Arbitration between Institute et 30 2010 in the Matter of Jr in his capacity as Attorney Corbett v TAP of Pennsylvania Corporation and Abbott Deposition of Kevin W Court of Pennsylvania Hess Corporation Expert Report of Kevin M Murphy September by Thomas of Pennsylvania 12 2010 Products North District in the Matter of RWJ America Inc The United of Illinois Eastern Division States et Case5 11 cv 02509 LHK Document440 M Murphy November Expert Report of Kevin Management Company Inc v BP Court for the Northern District Filed06 21 13 2 15 2010 Philip Morris Companies Inc 19 2010 No Analysis of Kevin Dodd Frank Comments of Kevin L Katz and Michael M Murphy Act Regarding Regulation submission on behalf of Bank al or Transfer Control Lockout on November 10 2010 Report the in of Licensees NBC Universal Inc 29 2010 Loans The of Israel Comcast for Consent to Assign Communications Federal Lockout Drs Mark the Matter of Applications M Murphy November Insurance of Commission in the Matter of Reggie United States White Court District M Murphy December 3 2010 Lockout Insurance White in the Matter of Reggie Loans The United States et Court District of Minnesota Deposition of Kevin Company Inc the Northern v BP M Murphy December 13 2010 Products North America M Murphy Philip Morris Companies Inc Inc The United States RWJ Management District Court for January 17 18 2011 in the Matter of Craft et al v a corporation and Philip MorrisIncorporated a corporation Missouri Circuit Court Twenty Second No in the Matter of Division District of Illinois Eastern Deposition of Kevin Case of Provisions of the Fees November 23 2010 of Minnesota v NFL District St Louis District City of to Guide Interpretation November 24 2010 v NFL Lockout Deposition of Kevin al v al of America Corporation M Murphy Expert Report of Kevin District Judicial of Debit Interchange Corporation General Electric Company and et in the Matter of Craft et 00200406 02 Economic Licenses States a corporation and Philip MorrisIncorporated a corporation Missouri Circuit Court Twenty Second Case RWJ Division of Illinois Eastern M Murphy November Expert Report of Kevin in the Matter of 112 of America Inc The United Products North District Page105 Judicial St Louis District City of 00200406 02 Report of Kevin M Murphy Corporation on February Consumer 16 February 15 2011 submitted by TCF Financial 2011 to the Subcommittee on Financial Credit of the Committee on Financial Services of the Institutions US House and of Representatives Declaration Ben of Kevin S Bernanke M Murphy March Janet L Yellen Kevin 2 2011 in M Warsh the Matter of Elizabeth and Sarah Bloom Raskin the Board of Governors of the Federal official capacities and John Walsh Comptroller TCF National Bank v A Duke Daniel K Tarullo of the Currency Reserve System in in his official their capacity Case5 11 cv 02509 LHK Expert Report of Kevin LTD and Declaration of Kevin Basketball M Murphy Court Northern Expert Report of Kevin District Inc 14 2011 June v v Sabre the Matter of Datel Corporation Microsoft July 1 2011 Deposition of Kevin in The United the Matter of Certain M Murphy August 17 2011 et al The Judicial District States Gaming and in the Matter of American County Texas of Tarrant M Murphy August 19 2011 M Murphy September States International 67th Intel Deposition of Kevin M Murphy September of Kevin M Murphy Gaming and Entertainment Consoles United States International Deposition of Kevin Intel M Murphy October M Murphy October Hearing Testimony of Kevin and of Kansas Gaming railroad in the Matter New of State of Court for the 27 2011 Software Fuel of District Kansas in the Matter of Certain and Components Thereof The Trade Commission 810 2011 District 10 2011 and railroad employees National NRLC the Matter of Certain in the Matter of Motor District September in the Matter of State in connection before M Murphy October employees National of New Court for the District of Delaware with dispute between A A Nos 13569 13570 Emergency Board No 243 Mediation Board Case A13572 A13573 A13574 A13575 A13592 between Fuel Court for the District of Delaware 14 2011 Related Corporation The United States Report of Kevin 9 2011 District Temperature Sales Litigation The United States v Motor District and Components Thereof The United M Murphy September Corporation The United States Direct Testimony in Court for the Trade Commission Expert Report of Kevin v in the Matter of District 6 2011 and Entertainment Consoles Related Software 13 2011 in connection with dispute Mediation Board Case A13570 A13572 A13573 A13574 A13575 A13592 243 LTD Holdings and Components Thereof The United States Temperature Sales Litigation The United States NRLC in of California M Murphy Inc Expert Report of Kevin York Labor Relations with the National filed District Judicial York Holdings The United Corporation Trade Commission Expert Report of Kevin Airlines the Matter of Datel in Microsoft 112 of Players Association Entertainment Consoles Related Software International v M Murphy May 26 2011 Development Inc and Datel Design 11 2011 Page106 of California District of the National Deposition of Kevin April Filed06 21 13 2 Development Inc Court Northern Board on behalf District M Murphy Design Datel States District Document440 before Nos Emergency A13569 Board No Case5 11 cv 02509 LHK Expert Report of Kevin Hampshire v al The et Filed06 21 13 2 M Murphy October Hess Corporation of Kevin Declaration Document440 17 2011 M Murphy December 1 2011 Temperature Sales Litigation The United States Expert Report of Kevin Inc and Thomas Shaw States District Court for the Eastern Trial Testimony of Kevin v Incorporated District Trial Microsoft District Testimony of Kevin 78 2011 The United Corporation M Murphy December v BP Court for the Northern in 29 2011 in the Matter of Novell Court Northern M Murphy Court for the Eastern Testimony of Kevin M Murphy RWJ States Division 15 2012 in the Matter of Becton Dickinson and Company District 18 2012 January and Entertainment Consoles Related Software of Texas Marshall in Division the Matter of Certain Gaming and Components Thereof The United Trade Commission States International Supplemental Expert Report of Kevin New January v Inc and Thomas Shaw States District the Matter of America Inc The United of Illinois Eastern District Technologies Hampshire v M Murphy February 23 2012 Hess Corporation et al The State of the Matter of in New Hampshire Court Superior Affidavit of Kevin Michael Kansas of Division States District Products North The United of Fuel District the Matter of Retractable in of Texas Marshall Retractable State Motor Court for the New Court of Maryland Supplemental Expert Report of Kevin Trial 112 Becton Dickinson and Company The United M Murphy December Management Company Inc District v Hampshire Superior the Matter of District M Murphy December 5 2011 Technologies of in the Matter of State of New of State Page107 M Murphy March 12 2012 Fruth Individually and on Behalf in the Matter of Sharon of Others Similarly Incorporated The United States Circuit Court Third Situated Price and vs Philip Morris Court Madison Judicial County Illinois of Kevin Declaration M Murphy May 3 2012 Technologies Inc and Thomas Shaw States District Court for the Eastern Comments Revision of Kevin M Murphy of the Commissions DIRECTV Group Inc Authority Transfer to Transfer of v District DirecTV Subsidiaries the Matter of Retractable of Texas Marshall LLC June 22 Program Access Rules Division 2012 News in the Matter of Corporation and the Transferors and Liberty Media Corporation Transferee for Control Applications of Control of Licenses Adelphia Subsidiaries in Becton Dickinson and Company The United for Consent to the Assignment Communications and or Corporation and Debtorsin Possession Assignors to Time Warner Cable Inc Assignees et al Federal Communications Commission Case5 11 cv 02509 LHK M Murphy Expert Report of Kevin Sabre Inc Judicial Sabre Holdings M Murphy of Kevin Capital Partners LLC LLC The United Expert Report of Kevin 67th v Motorola Inc The United Washington at Ltd The v United States v the Matter of Kirk Dahl in District in Bain of Massachusetts the Matter of Kirk Dahl Court 24 2012 Corporation the Matter of American Airlines Court 23 2012 July 112 of District in States District Page108 International Judicial 21 2012 July M Murphy in Sabre Travel States District M Murphy Expert Report of Kevin Capital Partners July The United Filed06 21 13 2 20 2012 July Corp and County Texas Tarrant District Declaration Document440 District v Bain of Massachusetts the Matter of Microsoft Seattle M Murphy Deposition of Kevin August 22 2012 Corporation v Motorola Inc The United Washington at Court Western States District in District of the Matter of Microsoft Seattle Economic Evidence Diego from San August 31 2012 Transferors and Liberty Media Control Applications Federal et al et al v of the DIRECTV Group and or Transfer to Transfer of Control of Corporation and Subsidiaries Debtorsin Cable Inc M Murphy September The American Tobacco the County of San Diego Deposition of Kevin the Matter of Revision RSN Subsidiaries Assignees et al Commission v California for in Corporation and the Corporation Transferee for Authority Assignors to Time Warner Communications Expert Report of Kevin Brown submitted District of of Carrying an Subscribership for Consent to the Assignment Licenses Adelphia Communications Possession News Program Access Rules Commissions Inc on DIRECTVs Analysis of the Impact Court Western States District M Murphy The American Tobacco of San Diego 7 2102 Co Inc et al in the Matter al Superior 14 2012 September Co Inc et of Willard Court for the in the Matter of Willard R State of R Brown Court for the State of California Superior for the County Deposition of Kevin Inc Inc v Sabre State of Texas M Murphy Sabre for the Judicial Expert Report of Kevin Corporation Holdings v 3M September Corp and District Properties and in the Matter of American Airlines Sabre Travel International of Tarrant M Murphy October Innovative 24 2012 Ltd for the County 10 2012 in the Matter of Avery Dennison 3M Company The United States District Court for the District of Minnesota Expert Report of Kevin Employee Antitrust California San Jose M Murphy November Litigation Division The United 12 2012 States District in the Matter of Court Northern Re High Tech District of Case5 11 cv 02509 LHK Trial Testimony of Kevin Corporation v Motorola Washington at Document440 Filed06 21 13 2 M Murphy November 13 2012 112 of in the Matter of Microsoft Seattle Expert Report of Kevin Dept Prot of Envtl Court Southern al v 15 2012 Co of District in the Matter of New Jersey New York Atlantic Richfield The United Litigation al The United et in the Matter of States District States District Re High Tech Court Northern of District Division Expert Report of Kevin Deposition of Kevin v 3M M Murphy December 21 2012 The United Antitrust Litigation Corporation M Murphy November Court Western District M Murphy December 3 2012 Deposition of Kevin California San Jose United States of et District Employee Antitrust INC The Page109 Murphy January 16 2013 Properties and Innovative in Court for the States District re Titanium Dioxide District of Maryland in the Matter of Avery Dennison 3M Company The United States District Court for the District of Minnesota Amended Prot et of Envtl Court Southern District M Murphy Expert Report of Kevin Jersey Dept v America Apple Inc of District Expert Report of Professor et v al Atlantic New February et in the Matter of The United al New States York M Murphy Kevin 8 2013 Co Richfield al The United February 8 2013 in United States of Court Southern District of States District New York Declaration et al v for the of Kevin M Murphy The American Tobacco County of San Diego Rebuttal Expert Report of Kevin v Inc Apple et al The United February Co Inc et 22 2013 al M Murphy March States District Second Supplemental Expert Report of Kevin of Retractable The United Direct Testimony Apple Inc revised et of Kevin and resubmitted Declaration National Southern M Murphy al The United of Kevin in United States of America v 8 2013 in York the Matter Becton Dickinson and Company District 26 2013 New of District of Texas Marshall in United Court Southern Division States of America District of New v York on May 29 2013 M Murphy May 13 2013 Milk Producers Federation District April States District 1 2013 M Murphy March Court for the Eastern R Brown Court for the State of California Court Southern Inc and Thomas Shaw Technologies States District in the Matter of Willard Superior of Illinois et in the Matter of Brenda al The United States District Blakeman Court for the v Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 M Murphy May 29 2013 Expert Report of Kevin Corporation v Motorola Inc Washington at Page110 112 of in the Matter of Microsoft Seattle Television Stations Univision Public Inc Television Broadcasting Group Inc The Expert Report of Kevin Airline Pilots New States District in the Matter of Court Western WNET Twentieth Century Fox Film Corporation Service Court for the Southern v al The United M Murphy June 6 2013 of Kevin Declaration et v District Univision Aereo Inc of Network Limited f k a Bamboom District Thirteen Fox WPIX Inc Partnership and Labs Inc The United States New York M Murphy June 7 2013 Association International in the Matter of Patrick The United States District Brady Court et District al of Jersey Rebuttal Expert Report of Kevin Corporation v Motorola Inc Washington at M Murphy June 10 2013 in the Matter of Microsoft Seattle Trial of Testimony of Kevin Apple Inc et et al The United States District M Murphy June 19 2013 al The United States District in United Court Southern Court Western District States of America District of v New York of Case5 11 cv 02509 LHK Document440 2 Filed06 21 13 Appendix D Page111 of 112 Case5 11 cv 02509 LHK Document440 Filed06 21 13 2 Materials Relied Page112 of 112 Upon Court Documents In Re High Tech Employee Class Certification April In Re In High Tech Employee H Koh United Lucy Re States Deposition Deposition in Part Denying in Part Motion for Litigation Transcript of Proceedings Antitrust Judge January District High Tech Employee of Class Certification Litigation Order Granting Antitrust 4 2013 Litigation Plaintiffs Antitrust May 10 Before The Honorable 17 2013 Motion and Brief Supplemental Re Support 2013 Transcripts of E Leamer Edward 11 2013 June Expert Reports In in High Tech Employee E Leamer Antitrust Litigation Expert Report of Edward Antitrust Litigation Supplemental Antitrust Litigation Expert Report of Professor Kevin Ph D October 1 2012 In Re Ph In High Tech Employee D May 10 Re High Tech Employee January M Murphy 17 2013 Academic Sources George Casella and Roger William E Leamer Expert Report of Edward 2013 H Greene Econometric Do Old Milton Friedman L Berger Statistical 1990 Inference Analysis Sixth Edition Ever Fallacies Die Journal of Economic Literature 30 1992 2129 2132 Susan E Jackson et al Managing ChangHwan Kim and Correctly Charles Christopher Measurement F Manski Errors Economic Human Resources Eleventh R Tamborini Survey Data Estimate Earnings Inequality Among Do Edition Black and White Male Coworkers Social Forces 2012 Analysis of Social Interactions Journal of Economic Perspectives 2000 115136 Robert A Moffitt Policy Interventions Low Level Equilibria and Social Interactions in Social Dynamics MIT Press 2001 Robert S Pindyck and Daniel L Rubinfeld Econometric Models and Economic Forecasts Fourth Edition Donggyun Shin and Gary Solon Employee Matches Scottish New Journal Evidence of Political on Real Wage Cyclicality within Employer March 23 Economy 54 2007 Nate Silver The Signal and the Noise Penguin 2012 Other Sources Agam Shah The Integrated Intel Freezes Salaries Public Use Microdata from CEO on Series Down Computerworld IPUMS USA 2009 https usa ipumsorg usa 14 6 Case5 11 cv 02509 LHK Document442 Filed06 22 13 Page1 of 106 UNITED STATES DISTRICT COURT NORTHERN DISTRICT OF CALIFORNIA SAN JOSE DIVISION IN RE HIGH TECH EMPLOYEE Master Docket No 11 CV2509LHK ANTITRUST LITIGATION THIS DOCUMENT RELATES TO ALL ACTIONS EXPERT REPORT OF KATHRYN SHAW PH D Case5 11 cv 02509 LHK Filed06 22 13 Document442 Page2 of 106 TABLE OF CONTENTS Page I Qualifications 1 II Introduction 5 III Assignment 6 IV Materials V Summary VI Defendants Pay Reviewed Defendants Pay for Performance Dr Hallocks Avenues A Do Practices Prediction Is Internal Similar Equity D IX Spillover of Pay Increase From One That Impact Could 12 Spread Through Certain 14 is Used by Managers to Individual Compensation Do 14 Opinion That the Suppression of External Opinion is Dr Hallocks Top of Pay Data in One 20 Unsupported Regarding Market Data For Merit Increase Budgets 23 Also Unsupported the Box Theory Is Incorrect 25 27 Conclusion to Make Performing Employees Who Similarly Work Dr Hallocks Reference Guide Large Variances in Pay 8 Not Support By Comparing Dr Hallocks Is to Evaluations Job Code Could Lead to Spillover C Leads Inaccurate Decisions B Manager Philosophy to All or Nearly All Class Members Individual VIII 6 of Opinions Based on Subjective VII 6 28 Cited Exhibits i Case5 11 cv 02509 LHK I Page3 106 of Qualifications 1 am the I School of business over 30 years insider Ernst Personnel economics and use and taught is research field in knowledge and insider Throughout involved in diverse the 2009 project on Firms Multinational International in Advanced books studied one book studied management 2.95 million 3 of the structure of Foundation Capitalist wages researchers the performance go of within from gains insider econometrics in the Business generation The purpose on workers Bureau the National Practices and have visited have been electricity sector practices I have studied I of these visits From productivity of Economics and Productivity In the course of that retail work I of edited three from human resource management practices and gains and across firms in Organization For this and countries Sage the Russell trucking Countries within OECD For the past decade to 2007 I earlier from the National Foundation Casey Ichniowski Matters Handbook and Kathryn of Organizational 263 311 Insider I for work I Economic have raised Science Foundation the Rockefeller have been studying technology developed and taught 1 Press 2013 the field Foundations the and the Labor From 2005 Valley Differences with other principal investigators P Sloan Department Freeman headed the productivity Cooperation and Development Alfred which and Japan Firms and pharmaceuticals along with Richard I on US Europe to study the effects of the personnel Two data to identify in for employees their co pioneered also I economics personnel manage firms such as software steel chemicals industries trade services bio technology books how personnel economics my work the course of 95 firms in visited approximately Research and labor economics the study of at the Stanford Graduate practices 2 to Economics of 1 management 2003 Professor methods and hiringfiring practices econometrics a companies C Arbuckle have researched I compensation including was Filed06 22 13 Document442 Shaw Insider Economic Econometrics A a course at Stanford Econometrics Empirical Robert Gibbons editors Roadmap with 1 companies Stops in Silicon on Managing Studies of the Way in How Management and John Roberts Princeton Along Talent Labour University Economics 2009 Case5 11 cv 02509 LHK which one tool used was Valley During Silicon managers engineers format we answer links between companies how they address 4 Technology new employees how companies taught who MBA equity to and individualized 5 software I attract who my opinion compensation and pay star employees Our employers and employees 2Fredrik executives investigation Matthew Stanford on my current in which we simulate course and the use of these classes the cultures of their respective pay including I have and firms Quite for performance internal 2 Our focus was was based on we measured jobhopping firms in the the relationship compensation in the software home run products a rich longitudinal between Economic 2 how to investigate both earnings Freedman John Haltiwanger Industries to study using a unique data set on the compensation firms in a product line where Stars Who Pays for Talent in Innovative at employed at technology companies and the worker types Specifically In classes can best use compensation of researchers star talent employees within firms and Andersson how systems and compensate we examined how due to pay increases evaluation the also studied the course of teaching are or were worked with a team different software product In particular We my many other managers in this case arise and careers of about 50,000 software between performance and and retain star performers and perform exercises on managing talent and also recently industry how employees During students share their experiences often issues relevant hire We in MBAs and strategies for both manage companies and executives they award are often featured the curriculum involves reward and data to evaluate on compensation policies Using a question contributors in offers outside data to 106 of CEOshigh level with company and pay bonuses equity and promotions select Making Data Relevant and individual companies discussed human resource management productivity we immersed students and other managers and Page4 analyze the compensation practices of about forty companies to the course evaluation attract Filed06 22 13 Document442 firms Julia Journal matter levels and earnings We used attract data set matching this Lane Kathryn Shaw 2009 industry growth rich data source Reaching for the Case5 11 cv 02509 LHK the connection to investigate in the software between skilled stars are stars Page5 the payoff to high stakes products industry In short our analysis revealed product markets will pay highest Filed06 22 13 Document442 of and the rewards that firms that operate highly who valued and paid than those to stars home run in pay The both higher starting salaries and higher performance much more 106 are slightly less skilled 6 Prior to and economics a part of this work I I and researched labor economics personnel taught I at Carnegie Mellon University used production level data from firms in the management on productivity strategies from information technologies gains 7 Stanford insider econometrics effects of alternative productivity my time at am widely 3 I industry steel published on the topic of personnel Economics I am the Journal of Political economics Economy and the author of over fifty publications in journals have focused on a wide range of personnel economics wage structures human resource management and why employee performance 3 Casey Ichniowski Matters Handbook Press 2013 and Kathryn 274 77 5 editors Casey Ichniowski and Kathryn Enhancing practices and their Work Practices Pay 17 Journal of Insiders publications the interplay between combined impact on Estimates Economic Robert Gibbons Shaw My human resource management Incentive of the of Value 155 Perspectives Studies practices How New Tricks Brookings Papers on Economic of 163168 Management and John Roberts Princeton Old Dogs and related profession the and books Econometrics Empirical Insider These and University Determinants of the Activity Microeconomics 165 4 Ann Bartel Casey Journal of 5 Journal Incentive vol 122 Economics Economic Pay of Economic Estimates Perspectives How Does Process Information Improvement Technology Affect and Worker Skills Quarterly 4 2007 1721 1758 Perspectives Insiders Innovation of Product Edward Lazear and Kathryn Shaw of Shaw and Kathryn Ichniowski Productivity Plant Level Comparisons Journal Shaw Economic of Organizational Adoption of Productivity 1995 Beyond Human Resource Management Practices 4 the QuarterlyJournal of topics including use particular Shaw Casey Ichniowski and Kathryn Complementary 2003 companies the industries publications have been published in the top three journals in the economics American Economic Review to model the have also studied other manufacturing in 2003 As from 1981 through vol 21 of the Personnel 4 Value vol 17 1 Fall of Economics The Economists View of Human Resources 2007 91 114 Winter Casey Ichniowski Human 2003 155 178 Complementary 3 and Kathryn Resource Management Shaw Beyond Practices Case5 11 cv 02509 LHK the dispersion of talent between of informationtechnology Filed06 22 13 Document442 firms and the variance on productivity and 8 of I Economics from Harvard University Economic Labor Economics of Labor of the Society Labor Economists In Employment Research several and Foundation 9 Chair currently I the European e g Kathryn Shaw of Complementary 155 163168 2003 2008 was Columbia a board member of the STEP I and on Statistics Award for of the Minnesota employment issues Panel of the National of on for the best paper 2005 06 the a board currently panel of the National a have been an a Fellow of the Society Fellow for and I have 2011 12 Science Academy of of Labor Labour Economics Association Insider A is my Curriculum Econometrics Vitae A Roadmap with Stops Along Beyond Human Resource Management Practices Wage Edward Lazear and Kathryn Shaw Wages 2008 New Determinants of the Adoption of Productivity of the Structure Microeconomics and of the Council those at meetings of the Society including Comparison Activity 2001 am award the topic of have served on a Research I elected as the recipient the Trust Faculty identify to California Member confirmed University 1997 98 on International Tricks Los Angeles Economics and of 607 2009 607 617 Casey Ichniowski and Kathryn Shaw Value Economic in was honored including Attached as Appendix See Economics of the awards teaching am I the have given keynote lectures I Economics and 6 received for the best paper in and the Xerox Research Sciences I in Economic Perspectives Economists and business and in 1998 international received 2001 a Senate and the Review Editorial Advisory Board of the Journal of member was I non compensation 6 Office of the President from 1999 to Advisors Executive editor of the Journal of College 106 and selecting workers training AB degree from Occidental hold an of within firms the impact impact of the productivity those with high level job and task skills and ongoing PhD in of compensation such as the use of work teams carefully interviewing practices Page6 of Structure the Incentive 17 Journal Wages of Enhancing 4 16 Labour Insiders Economic Work Practices Shaw Estimates Perspectives and Mobility in Casey Ichniowski and Kathryn 1995 165 Way Pay An Old Dogs and Brookings Papers on Case5 11 cv 02509 LHK II I understand Apple Apple Inc Lucasfilm Ltd 106 of Google Inc Pixar Intel Corporation Intel Defendants collectively to be suppressed Inc Intuit Intuit conspired to refrain from employees and other forms of solicitations caused compensation Adobe Adobe Systems Inc claim Plaintiffs that the for all or nearly all salaried employees each Defendant 11 I ground that understand Plaintiffs an impact 12 I employees during part or Class to answer attempt structures class offer the Expert Witness Plaintiffs the Courts that suppression of have in the technical of the period from January all filed creative a renewed motion asking and or and development research 2005 through December 2009 F Hallock Report of Kevin the Court the fields Technical Hallock Report in an whether Defendants had such rigid compensation question wages employees would necessarily have resulted 7 further understand that Plaintiffs certify a class of employees the theory that there was a rigid wage or confirm their failed to support to all or nearly all on the Court denied Plaintiffs first class certification motion that such that an impact to some of Defendants structure to allege defendants Plaintiffs Lucasfilm and conspiracy alleged that Google cold calling each others in Page7 Introduction 10 at Filed06 22 13 Document442 some employees would have to affected all or nearly all members Dr Hallock 13 could spread an impact on compensation certain features that nearly all technical 7 4 id at 36 37 impact Case in employees He Part Denying fails to other Defendants employees at 45 13 maintained have affected Part all to deposition In for in entirely different jobs The Court is all Class employees with e i that structures that members 5 his titles one job would whether the a suppression title ripple across evidence of will wages Employee Order at 43 1 analysis that Defendants entirely different with any impact would most concerned about re High Tech Class Certification from to all or could be spread impact that Motion for Class Certification impact to an employee such rigid compensation or nearly at Dkt 382 Filed 04 052013 explain how it may be inferred were so rigid that compensation through time such that a detrimental structure id in clarified some employees for No 11 CV02509 LHK However Dr Leamer salary structures together class Order Granting Antitrust Litigation that defendants each had formalized pay systems that have states to would necessarily necessarily move result in an the entire salary be able to show that some employees would Case5 11 cv 02509 LHK avenues i internal through three internal salary ranges increase percentages would nearly all class III could be spread based on a benchmark annual salary merit top of the box None theory Hallock of these on some employees of impact to all or me to my opinion address Dr Hallocks opinions in this whether he has demonstrated that a suppression of wages regarding affected all or nearly all Class members Materials Reviewed my opinions In reaching to the expert report of and exhibits declarations Dr economics produced the question nearly all other Dr Hallock deposition transcripts discovery expert in and teaching by cited relevant exhibits and exhibits and reports in the fields of labor economics with Silicon this my 30 years of and personnel Valley companies Appendix B includes matter Opinions Dr Hallocks 16 conclusion employees philosophy implemented by with technology Consistent Dr Hallock individual employees performance the exhibits that Defendants each had formalized systems does not suppression of wages to some employees would affect of whether or unionized firms would expect Kevin Murphy have relied on and reviewed for I Summaryof government reviewed and considered Plaintiffs Consolidated experience working including the materials I report material documents experience researching publishing of their to members Amended Complaint Dr Hallocks answer market data Counsel for Defendants have asked 15 V 106 Dep 153 8 158 6 214 25 215 11 227 25 230 10 Dr some employees would have attached of ii use of external market survey data to benchmark necessarily lead to or require transmission matter and offer IV Page8 Assignment 14 to equity iii use of external Hallock also states that impact avenues and Filed06 22 13 Document442 talent to Defendants points managers firms in Silicon prepared by Defendants expert 6 to Dr the employ a pay for performance subjective company Kevin or Valley and unlike the based on each managers skills contribution all evaluation and potential Murphy regarding the As I Case5 11 cv 02509 LHK variance pay changes in in Defendants compensation performance system Compensation the same job titles 17 and across job practices and entire pay for in to the some flawed He members due is but one on first relies compensation due to to internal equity view of dissimilar this work case there is members next also would not expect First Defendants benchmarked equity a members In of against relates Dr Hallock avenue did not use the a large group of firms to company who agreements given lead to impact equity 7 the at is doing similar the manager wide level to who are doing perform at different levels of external market data to data is then internal compensation how on one two simply and based on the Defendants used external all or nearly all class same compensation benchmarking beyond on the market compensation if is internal equity should impact workers Defendants use However to a my experience concludes that anti solicitation be suppressed this Internal concept of internal equity was used that internal equity avenue culture similarly performing employees people From avenues to all or nearly all class In a pay for performance pay of certain to argue that any impact such as employees in different jobs or workers levels at Defendants could I internal salary does not support could spread through setting pay for individuals pay The as a result of the alleged market data the no reason internal salary ranges suppressed pay no propagation mechanism is employee compensation decisions not on Dr Hallocks benchmark creating could have been transmitted by managers in should consider individual 19 to pay etc studied there internal considerations make automatic adjustments to groups evidence in within Defendants will spillover to all or nearly all class that impact conspiracy setting an individuals make pay for among employees and philosophy employees and set firms I have a misplaced the alleged a notion that managers level to performance for individuals prediction factor considered work when 106 pay process Dr Hallocks 18 pay to evaluate Defendant firms and the technology built of titles ranges to empowering managers theory that pay increases between from using external market data process Page9 data is consistent with a varies dramatically to Defendants In addition Filed06 22 13 Document442 data and each or three with which it had an Case5 11cv 02509LHK alleged firms cold it calling agreement Given Defendants used job Dr Second assuming specific title market data is equally base salary increase or nearly all class 21 was in fact suppressed internal job specific affect data for another do most salary ranges job title the salary range for another in salary ranges of nor job title not lead to changes in actual next theory that suppressed market data led unsupported I am suppressed merit to not aware of any evidence that market data on or that suppressed data resulted in impact on all members Dr Hallocks top of the box theory incorrect is Defendants compensation systems The documents were that pay determinations assessment of individual VI would not percentages was suppressed Finally basis in the opposite by consulting employees Dr Hallocks budget title data benchmark to the fact that changes ignores levels for all 20 that market salary range for one job title affect Hallock compensation increase 106 of the large size of the labor market surveyed suppressed market data for one job would suppressed Third Page10 hard to imagine that the suppression of pay in a few jobs could lead to suppression is pay in benchmark data Thus Filed06 22 13 Document442 Defendants left in the hands This theory and testimonies of individual finds show the based on managers no their performance Pay for Performance Philosophy Leads to Large Variances in Pay Based on Subjective Manager Evaluations Dr Hallock 22 summarizing general spends economy Defendants and concludes that HR 23 administer or compensation I of his report explaining concepts of compensation typical large firms in the resource much Hallock compensation structures and principles 10 109 He formalized compensation that might apply across then summarizes evidence from the the defendants each had formalized or sophisticated systems of one type or another Hallock agree that Defendants had formalized compensation compensation design and In Silicon Valley and elsewhere systems or structures to administer 8 most pay human 45 systems or structures to large companies including have using job Case5 11cv 02509LHK systemsjob classification benchmarking titles however would out The company has fact that a does not answer and implemented in a way suppression of A formalized 106 of setting salary compensation to a formalized compensation employees affect all or nearly all other for increases of whether the question Page11 market intelligence external to ranges providing guidelines and recommendations 24 Filed06 22 13 Document442 etc 8 system or structure wages some employees to compensation system can be carried such that some workers wages can be adjusted without widespread effect on other workers Dr Hallock 25 how Defendants philosophies pay determinations test stops short of adequately compensation made and were what and verify whether impact spread to how evidence regarding 26 subjective company of their and potential 10 high performers and incentivize development software 8 Press 2013 Along the the Who describing Labour Spring Andersson written Matthew in management Paul editors in Fall 9 skills contribution to the philosophy to difficult to measure in one day could be measured Economics The Economists View Econometrics Empirical Robert Gibbons practices attract but of 2007 91 114 which Insider Studies of How Management and John Roberts Princeton uses insider information Econometrics A University and data to Roadmap with Stops same Freedman John Haltiwanger Innovative describing Insider data based on each managers is however Personnel 4 21 of insider economics the benefits practices 2012 Shaw Economics 2009 Pays for Talent compensation Chapter 4 of code Perspectives Economic impact of human resources Way Fredrik industry Economic of Organizational 263 311 10 the Stars of Casey Ichniowski and Kathryn Matters Handbook analyze of lines should examine the high tech employees For example for Edward Lazear and Kathryn Shaw See generally Human Resources Journal 9 way or objective shows To data in this case firms adopt a pay for performance It actual studied Defendants employ a pay talent greater effort and talent number the implemented how membersone managers individual compensation the compensation firms I have employees performance Technology performance in a mechanical made and were by philosophy implemented evaluation compensation or nearly all class all with other technology Consistent for performance systems were actually the actual pay decisions actual addressing Defendants Industries Economic Shaw Oyer and Kathryn subjective performance 9 Julia Journal Lane and Kathryn Shaw 2009 48 describing Reward Systems Human Resource evaluations Reaching for software Class Notes Case5 11cv 02509LHK may the firm nothing meaningful tell Thus complexity of the project based on 27 Appendix that Defendants implemented 28 by extensive C is a on 2000 follows amount only did employees Dr Hallock Figure Hallock Dep 95 15 96 12 Paul 2012 call center Shaw Oyer and Kathryn In contrast certain may measure pay for performance firms are better productivity increase its and and set system can increase broken windshields by giving piece rate relied sector these examples organizations Reward Systems Human Resource measure performance the not 12 or unionized setting to 15 used similar systems Hallock on by tracking 44 by pay the at who were the firm attracted better employees government and performance is from switching that results replaced for performance that Defendants suited to pay pay practices from paying on an from the government also repeatedly referencing case demonstrating performance These factors raised productivity to suggest 1 Dr Hallock 18 206 11 pay firm in question refers to examples if this performance system The classic paper by for more windshields but install his conclusions as support The the firm instituted very good at installing windshields 29 a one particular firm that changed house When seen in to evaluate of productivity pay system to a pay hourly basis to paying for productivity customers the in employee performance behavior and attracting the right workers There the right the significant from a traditional lockstep Lazear evaluate leave pay decisions philosophy of paying for performance the employers perspective incentivizing literature to of the evidence I have collection philosophy by empowering managers From productivity like Defendants are in the best position in the managerial believed this 106 of 11 discretion their high tech Page12 such as the quality of the code or the about performance firms in managers who hands of individual Filed06 22 13 Document442 during his deposition school state police officers Class Notes Chapter 4 Spring based on objective number of measures calls processed such as a or the length of each call 12 See also Casey Ichniowski Management Matters Handbook University of Press 2013 Human Resources Econometrics A and Kathryn of Organizational 263 311 Edward Journal of Roadmap with Insider Economic Lazear and Kathryn Economic Stops Shaw Along Perspectives the Way 21 Labour 10 Econometrics Empirical editors Shaw 4 Robert Gibbons Personnel Fall Studies of How and John Roberts Princeton Economics The Economists View 2007 91 114 Economics 2009 Kathryn Shaw Insider Case5 11cv 02509LHK teachers 127 22 129 25 conclusions reliance compensation education 13 tenure and hours worked philosophy compensation compensation these systems illustrates decisions made are not in which 30 for the pay of management one worker managers as they use their discretion allocating annual pay increases managers exercise 31 in pay 13 these workers that contrasting with more Kathryn Shaw Software particularly increased reflect firms the value Fredrik the objectives practices for the recognized highly that is it maintains a of another worker the compensation system when hiring promoting and and contribution highly variable to the relative performance varies over time and individual system of technology Shaw in workers Beyond of Cf innovative 17 Journal human Andersson Fredrik Pay Incentive companies their of resource Id at of stars to Andersson 33 T he valued increasing firms and thus increased Matthew the variance the of Freedman John Haltiwanger Industries and paid than those who Economic Insiders Economic I have reviewed the Estimates of the Perspectives management Value of 155 practices 163168 and to contrast Industries of workers Economic in Julia Journal the industry economy towards knowledge Lane 2009 5 receive workers has pay Julia Journal are slightly less 14 Freedman John Haltiwanger Matthew movement of thus leads to variances or effort skills Stars Who Pays for Talent in Innovative Stars Who Pays for Talent in Innovative be pay pay of performance on average pay relatively high salaries but a small subset wages 14 much more their differences and Kathryn traditional Reaching high among others as a function Human Resource Management Practices 2003 155 80 fixed relative to the firms the pay of one worker for performance Casey Ichniowski Complementary which in of discretion The pay across structure determine the wages of individuals determine compensation worker depending on how pay of another and output job codes but these serve as mere guidelines for to to individuals compensation traditional performance as level but are set by a rigid rule of salary based firms begins with pay ranges assigned to is with his on measures such system has rigid rules for allocating in technology In contrast to an example of a rigid and unionized firms employ a individualized the individual at generally Unlike on 106 of the core problem firms base pay traditional rather than the traditional compensation salary structure These is philosophy therefore leads to a compensation schedules that leave no discretion Because on Page13 compensation Unlike Defendants in this case government traditional Traditional school teachers stating public Dr Hallocks pay structure Filed06 22 13 Document442 Lane Kathryn Shaw 2009 4 Reaching for the The highest skilled stars are skilled Hallock himself wrote that it should paying people the same for working for a period of time for example may make others upset 11 Case5 11cv 02509LHK exhibits changes in Dr Kevin prepared by Defendants expert As Defendants compensation data system the compensation shows data employees within the same job are highly talent the employee is a titles Murphy compensation changes that and across job skills education star employee for an individual 32 from cold VII structure in which Defendants changes Pay Practices The pay of the decisions employees value to the firm whether past compensation manager making considerations in compensation that go the into deciding Do Not Support the pay experience and the materials superior I members class Spillover odds with a employees resulting for individual all is at of Pay Increase From One Members practices of technology practices aimed at supporting employees across in compensation Individual to All or Nearly All Class 33 overall an employees changes in compensation for necessitates calls and among vary dramatically 15 employee This significant variation compensation in pay the variance an individual demand and potential other factors 106 of would be expected when as titles or a poor performer many decision and Page14 one would expect in a pay for performance history the budget for compensation the idiosyncrasies compensation regarding based on myriad factors including individualized performance Filed06 22 13 Document442 firms form a cohesive system of managerial company performance have reviewed in this Based on in the marketplace case technology firms my including continued because some are more productive Earn per period 15 Thomas Lemieux The Quarterly Haltiwanger Julia Economic Journal than who those 2009 4 The are slightly less highest skilled skilled Human Resources within citing occupations and across Press and Daniel Parent 1149 Reaching for the software Fredrik of the upper People Earn What They Wage Inequality Pay and Freedman John Matthew Stars Who Pays for Talent in Innovative industry starsare much more highly Economic tail Pay Why 2012 Performance Andersson Edward Lazear and Kathryn Shaw Journal has risen markedly mainly because has occurred firms 2009 124 Univ Cambridge MacLeod Bentley Lane Kathryn Shaw Economists View of inequality W Journal of Economics F Hallock others Kevin than And What You Can Do Now To Make More 87 of Perspectives high earners has grown occupations The variance Autor Katz and Kearney 2006 12 of Economics The Personnel vol 21 Industries valued and paid 4 Fall 2007 4 This rising variance pay has also risen within firms W of age pay and across Case5 11cv 02509LHK Defendants generally use a typical set of compensation employees Page15 The practices of 106 large variances pay at in systems that were flexible enough to allow the each of the Defendants reflect compensation adjustments of an individual Filed06 22 13 Document442 compensation without shifting the entire compensation structure 34 Pay is set first during the hiring process families and then in job codes and grade levels within the hiring decision he she formed from market uses his her discretion intelligence data from consulting gathers to set the pay Jobs are typically arranged in job these families When along with the guidelines of the individual he the of pay ranges hiring The firm typically is and others on pay by job firms such as Radford code The then generally sets a midpoint target and a range for job codes within the firm manager new hires an hires employee he chooses expected value 35 Pay is to at to 36 on expected Pay may Each manager the performance those who job code 38 retain an on an or to at by accompanied When the hire based on the a new job code The may decision be promoted to to promote is can be expected to with the promotion As in the decision pay decision pay a personalized is set also be adjusted individuals Lastly based on to the firm during the annual or Those semiannual performance review who are star employees will receive little or when performance my experience employee when he she to according given a budget and told to allocate that budget to pay increases employee firm other firms The employee process consistent employees will receive Pay may allocated based is also be adjusted is wage new based on his assessment that the employee contribution of each are laggard 37 to to promote the employees process same the higher level of performance hire the decision that fits the individual during the promotion a higher grade level within the perform pay the firmand his alternative adjusted determined by each manager the manager makes receives bonuses and equity are allocated on the performance offer I These are of his in relatively rare instances pay 13 large raises no raise or based an outside based team may say these instances be adjusted are relatively Case5 11cv 02509LHK rare because pay increases are generally allowed 39 are typically only offered C Assume The performer work juncture of this typical process or retention over a to an outside spill A is the process for determining performance individual offer 40 process VIII and those to be at who do Taken the or be will typically he his achievers pay range when he a bigger is the hiring would I three C is the paid for performance not expect a workers AB below average at various stages in his hired he will likely be annual pay raise employer I would If A receives not expect his higher pay to not have his capabilities as a whole there is no Prediction propagation mechanism apparent firms and other technology Dr Hallocks key worker Consider will likely receive matched by is pay median performer and the upper end of the offer is that in Defendant Is A pay range higher B is star performer star performer life he will likely promoted 106 of The lower to the high achievers pay gain for one worker to lead to a pay gain for another and Page16 to leave At each promotion review Filed06 22 13 Document442 That Impact firms I have Could built in to the pay studied Spread Through Certain Avenues Inaccurate antisolicitation 41 Dr Hallock was asked to agreements could lead to suppression of pay for all During Dr Hallock testified of the three avenues his deposition avenues that three would necessarily of pay Dep 153 08 15806 214 25 215 11 227 25 230 10 A Internal Equity is Used by Managers Decisions By Comparing on I all or nearly all class or nearly all class each address to his opinion that the members are possible but concedes suppression lead to impact explain Make that none members Hallock avenue below Individual Compensation Similarly Performing Employees Who Do Similar Work 42 all According or nearly all class if the pay of it would be one to Dr members individual inequitable Hallock the first avenue pertains to the application rises that would to raise the pay of increase one and the by which pay could be suppressed of internal equity pay of not others 14 all Plaintiffs other class Therefore if for claim that members because the pay of one Case5 11cv 02509LHK individual suppressed that would suppress the pay of is risen This argument mischaracterizes 43 flawed the notion because labeled of internal equity procedural 16 pay for justice all pay is perceived firm follows its as a pressure to equalize means pay Dr Hallock 44 when be motivated someone relevant is case to but is by a concept establishing makes the same perceived inputs their As a leading is text especially principle individuals the procedures for setting pay are firms that pay pay they brought perceived is Newman The materials that Barry Gerhard differentials among employment if jobs possible satisfaction in 18 Paul comparing Dr eg others fair for performance when philosophy and their more 17 In justice for the other orkers will eg pay perceived outputs and unmotivated same words what where fair 18 individuals with W 202 the been shown to prevail in many settings is simple equity outcomes According to they generate factoring James N Baron David the equity in the inputs M Kreps 87 paid individuals become depressed in McGraw and may his report Hill Irwin harbor ill lack that zest also makes this point George Milkovich 2011 will One group argues toward the employer and enthusiasm which that resist if fair e i Jerry sizable change change makes for high efficiency work Oyer and Kathryn distributive the does not act of internal equity are being paid performing the task Hallock relied upon Compensation are not be 1999 Human Resources 107 17 to and procedures e g effort match commensurate to bear in pay for performance point in his report Hallock across same are paid the firms or to unionized firms The notion justice principle that has significantly ought to be rewarded and so on effort ability varies all In the first class In the second definition technology based on actual performance book put it a where performance 2012 when to employees is not distributive justice but rather procedural 16 personal when to further the fair thinks she is being unfairly paid procedures ensure pay Strategic fair pay would have notion of internal equity and traditional In these workplaces perceived effort she will become uncomfortable matters to whom 106 of management world the in to be fair procedures of paying for performance strive for fairness to be to for Page17 to these Defendants applied is it within an education tenure This form of internal equity specifically to Defendants in this If as others of an outdated pay is perceived distributive justice the goal is equal labeled a makes use it This form of internal equity might be relevant where fair is all There are two definitions of internal equity definition wage Filed06 22 13 Document442 Shaw justice Reward Systems Human Resource and procedural justice in determining 15 Class pay Notes Chapter 4 Spring and Case5 11cv 02509LHK 45 equity The evidence As performance current and expected future managers reviewed in making contribution is not discussed adjustments to the compensation needs inequity to 46 firm means as a my experience who employees in different jobs or workers to others internal an including individuals considered by individual is In the evidence I have making automatic company wide of seen evidence that every I be remedied Moreover from stated equity employees Nor have of groups of and based on the evidence who reason that internal equity should impact workers Hallock Internal 106 of based on individual decisions based on a myriad of factors to the Page18 are trained to consider employee compensation decisions individual internal equity is that managers when making pay to consider above pay discussed shows in this case among many as one factor Filed06 22 13 Document442 dissimilar work jobs at issue At most he suggested that doing similar work As Dr on cold call would that Theyre That persons suggest all side by side Theyre paid roughly the same wage increases There that there is upward is way One principles on pressure doing roughly all of them gets a of internal equity others Hallock the Dep upward on 192 2 8 If person the wages X doesnt of the get the work crew there is this idea of internal R elated to internal equity work would be paid but lets less pressure raise Hallock Employee job Hallock Because people Dep 202 20 23 I dont others in the know if theyre doing similar work get a raise work group than if the person did get a if one didnt there would be Dep 203 15 22 A in a work T work pressure concerns is the idea that people doing similar similarly on less doing similar theyre equity assume that they are So that upward sic job offer there is if heyre group say there are two people doing both doing very similar jobs one gets a raise because of a cold call internal equity that another raise pay spillover would be limited to similar employees five people are working same work the Dr the facts and the comparability of the explained Imagine its Internal that equity if that certainly possible because person would get a 16 raise no such as some employees would cause a to one or because of internal equity would be dependent Hallock there is perform at different levels At deposition an impact that whether repeatedly are doing this case in immediately if of If Case5 11cv 02509LHK would be we as Its me that there wouldnt really performing to If were talking possible she negotiates that would But 47 Take and case lead to a chemical manager for E contains Appendix example I am not manager the Thats wages firm that certainly among other things of people doing IT support writers aware similar increases of number of jobs at issue in this each job jobs and within job titles I title case and would or outside engineer hisher employees manager or technical not expect number a managers writer to maintain internal equity Class for each Defendant and the from 2008 2009 Appendix E evidences the large of this compensation of one of his employees would the full list of job titles in the Technical within Class at Intel specialists semiconductor of any evidence in this case or semiconductor the compensation of managers all 19 technical IT manager who number impact on to to a cold call and then the incumbent concerns internal equity due it or identical the job titles in Plaintiffs proposed Technical engineers engineer to increase wage in her due to 106 of Dep 240 13 241 7 Hallock a bump due gets same thing the similar task immediately get wage changes same time designers that an to suggest when one worker be pressure the Page19 Dep 242 14 21 chemical web case this that there is then pressure Hallock which includes engineers the at suggest work about in with the firm to increase people near her dont possible really doing theyre theyre surprising concerns equity task and really identical workers theyre Filed06 22 13 Document442 of managers at each Defendant consideration or nearly all other employees in different job titles the vast of internal equity under the supervision across to of different managers 48 Consistent with this Dr Hallock not expect to see any impact from internal equity outside Q And Intel title A So 19 employees that impact the compensation say mask designer Again you they dont necessarily AEO xls Class it he would specialists at of employees in a different job Intel are asking about 76586DOC001050 in the Technical at that of a particular job title then assuming suppressed wages for some IT support how would lets during his deposition first testified a narrow doesnt Appendix a narrower necessarily have F created by Job Functions 17 based on part of whats on going to be the case that the this document categorizes Intels Case5 11cv 02509LHK impact on those particular workers led to the prediction avenues suppressionbecause there are multiple where you coming from So you are necessarily have my prediction A Have I to 20 I havent I So I that there think I so thats if could be another of 106 would be understand it avenue It doesnt that leads to impact on an about whether a negative would one job title havent that youve about that But It again in are asking Page20 Dep 225 1 14 reached an opinion job title thing I just thought about up brought made certainly havent necessarily before impact those this specific in job another a general to title carefully and Id like to think about that opinion Dep 235 6 13 Hallock Dr Hallock 49 avenue that Hallock employee would job title be Filed06 22 13 Document442 that propagation happens from job 12 However Dr Hallock and simply testified revised cites to his testimony later in the deposition stating that title to job title due to internal equity no evidence could occur that this to support this job title possible its Dep 258 11 Hallock to job title propagation Dep 258 16 22 259 9 15 259 20 22 Hallock 261 2 14 50 I compensation across manager level in to due to that requires automatic internal equity concerns Appendix make decisions Dr Hallock for managers See Figures in any evidence D shows about individual To adjustments to the contrary the concept of internal equity compensation the evidence was used not at the policy level 12 15 cites on how figures from Defendants to several to exercise their These figures demonstrate discretion first when that managers documents on position within a salary range which mention of internal equity or any suggestion another individual In other 20 I to the make containing giving annual salary increases were advised to give high performers larger salary increases These figures also show suggested salary increases dependent at pay practices 51 guidelines of job titles each Defendant regarding changes am unaware discuss the other words avenues that is pegged to market conditions pay of one individual is were There is no based on the pay of employees were not paid in relation to each other but were in detail below in sections 18 B through D Case5 11cv 02509LHK paid in managers created salary ranges based its were not advised managers manager team Dr Hallock on market data 21 This Figure shows that Adobes Rather this Figure shows making pay testified that the in Adobe suggested that a based on an individuals determinations a higher Q Would you for wouldnt raise predict that that a call from cold would then that that alone necessarily predict alone might not do that So Based on after Apple Comes in lead to a raise to all or employees nearly all technical 53 not necessarily lead to impact wage Yes negotiates Right would that internal equity An Adobe employee gets a I Adobes members or nearly all class A in 106 of and his her position in relation to the market data 52 A are paid his her discretion is Page21 employees based on what other employees to compensate teams or other exercise performance all market For example Figure 15 relation to the Adobe Filed06 22 13 Document442 no my experience Hallock would do that So that Dep 189 18 190 2 and the evidence in this case I do not expect that the concept of internal equity would be a means by which impact on a some employees compensation would 21 Streeter percentile of the 22 is at 1855.107 all containing instructing compensation or nearly all class the managers to Burmeister created ranges members based on some spread e market Wagner Decl Ex A at sample distribution matrices differentiate Dep 104 914 based on individual performance and is in reference to th 23 to Dep 265 25 266 12 Adobe Ex 1855 salary increases over that corresponded to the 65th market for a particular job title drawn and 1855.103 employees spill Figure by performance 14 is and salary relative midpoint 11 19 from which Dr Hallocks level in determining Figure 14 their an illustration of how Apple awarded merit SRP range to market stands for salary position Case5 11cv 02509LHK B Dr Hallocks Opinion That the Suppression Code Could Lead to Dr Hallock 54 all or nearly all class Dr compensation members to create of and would 106 of Pay Data of External in One Job Unsupported by which pay could be suppressed avenue workers according that lower to Dr Hallock pay would be internal Dep 220 1825 Hallock cold if reported to the data which in the pay of the benchmarking suppress internal salary ranges benchmark for used external market data as benchmarks Dep 223 8 14 Thus some groups like Radford would be used Page22 relates to the use of market survey data to Hallock calling suppressed the pay of turn is states that each Defendant for internal compensation market consultants Spillover that the second testified Hallock Filed06 22 13 Document442 See also Hallock 240 55 enough First make to 56 create it benchmarked allegedly Dr Hallock 25 percentile Sheehy it is most Defendants used true that not all Defendants against stated during a large group of firms far his deposition that Pixar market Streeter and then assigns Decl Burmeister 26 of the a job market data to benchmarked he did not examine the benchmarking one two against or three with those firms at all whether market data uses the percentile included of the market data as the minimum and the market for a particular job title Wagner Decl to a pay range that aligns Lucasfilm with the establish s the ranges based on some spread based upon our corresponded that 78 matches job descriptions to relevant percentile market data for of the relevant market survey that job 19 Adobes salary ranges based on market data from approximately 25 companies 78 Stubblefield Dep 24 18 McKell McKell 26 4 Morris Decl Wagner Decl beyond maximum Otellini Dep 252 34 Intel Dep 265 25 266 12 Adobe created ranges Maupin Dep 148 25 149 12 data significant Dep 216 18 217 22 Dep 89 916 65th percentile external used the same compensation if it is 24 market data as the of the of the the market survey results in 25 imagine that the amount of suppressed cold calling to had a cold calling agreement wages Hallock suppressed to the a difference internal salary ranges 24 view hard Moreover while data and each which is it Decl 7 Dep 87 22 24 88 620 89 67 McAdams Decl Bay Area 13 iii 14 or Northern California cut of Radford Lucasfilm data which includes used data from Croner Games for certain technical 20 13 Pixar requests hundreds of companies jobs which no Defendant the Maupin Decl participated in Case5 11cv 02509LHK Further Pixar and Lucasfilm used the Croner 27 in Defendants used or participated Company survey Moreover defendants Apple use the same data slices not always Filed06 22 13 Document442 for Page23 106 of which none of the other relied that on same surveys the did example .28 29 against outside 57 Silicon Even assuming codes due to the alleged between Valley data job benchmarked generally Intel 30 that there is suppression of pay for the external data in anticompetitive codes Taking Adobe as an conduct pay this example every range based on market survey data for similar jobs 31 would not suppression job code Adobe has at some job over spill a distinct salary That is Adobe used job specific market data and thus suppression of market data for one job code would not affect the salary range for codes This other job is true for other Defendants as well 32 Thus suppressed data for one job continued 2011 Burmeister Decl from 2005 to companies which included defendants in case 27 participates this See in Stubblefield McKell employees Streeter 32 job by job McKell for all which it Decl 8 14 see showing also Class is McKell 181 19182 13 Appendix were employed Dep 265 25 266 12 Adobe Dep 49 1720 basis Wagner Decl 87 22 24 89 67 created outside ranges Intel has Pixar the of peer only other defendant that of silicon based G shows a vast majority of that Valley on some spread that corresponded to the 65th reviews the survey data and determines as pay minimum and maximumpay on 8 very broad salary ranges that are established a particular grade but also internally benchmarks refers to Lucasfilm list and Intel are market for a particular job title Sheehy jobs in 1308 Google Dep 24 18 in the Technical 31 of the a only two of which Dep 164 18 165 3 29 percentile used Croner Animation survey Burmeister Intels Apple twenty other companies e g McAdams Dep 60 913 Ex the 28 30 4 approximately lines Maupin Dep 148 25 149 12 range market survey data and then assigns a job to a pay 21 by grade e they have one i pay against a smaller more jobspecific Lucasfilm matches job descriptions to range range relevant a Case5 11cv 02509LHK title would title affect the salary range for another job not affect data for another 58 When Dr unable to explain how Hallock examines whether each of Dep 90 20 91 9 18 Intel The types felt its could respond with an 60 a change several for managers SMA to for a targeted to Dr Hallock move McKell job and individuals salaries are adjusted Intel a special market 33 McKell was market position the fact that a change the if deteriorating Intel employees To all to the contrary the testimony of that individuals salaries the salary ranges by managers in salary range does not lead 34 As do not detailed earlier in the report based on performance McKell Dep 269 6 Dep 269 619 19 34 24 422 Arriada Keiper it becomes Dep 23 24 25 Adobe managers range Maupin Dep 94 24 95 8 does Dep 206 15 limited to jobs where is 33 it annually Dep 92 14 16 206 12 18 Thus Intels the in those particular jobs ignores because of changes Hallocks that any changes gives Intel vary by year and by group and particular affect salary the midpoint of the pay line to use for those specific jobs Defendants compensation personnel confirmed automatically good example level rather than at a company level title compensation levels for in actual another For job codes that are below market SMA Moreover data for one job code could limited to particular job titles market position was deteriorating faster 106 during his deposition he was this fact job codes are being paid relative of jobs that receive market was moving to its SMA budget adjustment is use of market data provides market would be dealt with on a job McKell to consider Dep 229 11 232 233 21 23513 Thus Dr opinion of impact based on market data Intels of job title was asked Hallock Page24 nor would suppressed salary range for one job title suppressed market compensation ranges for other job codes 59 Filed06 22 13 Document442 not directly discretion stating that lead to individual salary performance McAdams Dep 29 810 Dep 55 13 19 Apple hard maximums Those are purely a Burmeister employees were permitted to fall Pixar for if reference salary to go up do salaries increase the ranges raise a Lucasfilm increases sub minimum while the because such employee salary ranges below Q on whether offers are reference point Ex market salary salary up may cause increases and salaries are the range A No Id minimum structure are based on usually points Theyre 391 76583DOC003753 theyre within not Intels ranges Wagner Dep 26 22 25 29 1521 22 to increases their that salary hard at in the range minimums or documents show that its Case5 11cv 02509LHK 61 this Similar to avenue second Dr Filed06 22 13 Document442 Hallocks avenue of first need not propagate to all propagation or nearly all class Page25 of Dr Hallock members 106 conceded Hallock that Dep 227 25 22813 C Dr Hallocks Is members is percentage Hallock benchmark companys individual a their 63 merit increase I am not aware percentages was suppressed basic all 64 or nearly all class or nearly all class to issue in this calls to the extent due to a suppression of an of merit states that the suppression data on base or that suppressed data resulted in impact at Dr Hallock case it the alleged is hard salary increase on to all or nearly all class imagine as a matter of antisolicitation agreements the market data further assuming market data at all members of any evidence that market Assuming each Defendant based would not According Dr Hallock percentage mathematics that the lack of cold Managers impact of the market data will lead to Given the vast labor markets would have suppressed this that could based on market data of other companies merit increases suppression percentage could affect members avenue third Dep 230 14 231 8 249 20 250 4 merit increase projected a that states through Defendants use of market data to benchmark the annual merit increase that Defendants increase Also Unsupported Dr Hallock 62 Opinion Regarding Market Data For Merit Increase Budgets was its merit increase in fact suppressed due to the alleged lead to the suppression of compensation each of the Defendants had discretion allocate the merit increase percentage on market data and budget as they saw fit anticompetitive for all or nearly all class conduct members within company suggested guidelines to based on their performance evaluations 35 continued 35 performance Morris Decl 22 Adobe managers allocated the evaluations Wagner Dep 108 19 23 23 budget among employees after completing the Case5 11cv 02509LHK a Therefore reduction Page26 106 of budget could affect top performers but need not the merit increase in Filed06 22 13 Document442 affect all performers 65 Moreover evidence from discouraged giving merit increases Defendants maintained compensation lower performing employees As referenced to merit increase decisions Defendants indicates that these companies several for their managers guidelines See Hallocks 12 15 Figures above when making as a guidepost For example Figure 12 to Dr Hallocks report demonstrates that 36 Dep 276 4 8 performance been higher not suggest there affected but in Hallock would be workers that that Thus instance on the fringe that all or nearly all employees who would have their a managers agreements wage wouldnt more would have merit budget the evidence I have received Hallock have very very low that circumstance in to the extent anti solicitation for the alleged admitted this during his deposition wouldnt rating or very high in range be wouldnt So Dr reviewed does any merit or increase continued Sheehy how they employees see Dep 70 24 25 fit McKell Pixar managers are given pool and they spend that pool on their a salary Dep 101 817 Chau Dep 138 20 140 6 Lucasfilm managers and executives make recommendations would very seldom made adjustments and i in their discretion t’s Apple to choose how they want to managers were responsible 36 depending See Hallocks Dep 32 14 21 Stubblefield 12 Figure on their preadjustment where employees position pay compensation for setting for Burmeister each employee for Recommendations employees document philosophy budgetary unsatisfactory and rated 0 2 Apple wasn’t of employees for managers were not required employee to give all performing well he or she may not warrant pay for performance which means year does not mean you are necessarily that may not not awarded employees to get an increase who were increase spreadsheet struggling might not get any salary increase from 2006 containing raises ranging from 24 Individual salary increase merit increase increase increase James in Ex 25 to 2007 Merit LUCAS189964 or merit salary increases bonus rather Dep 25 22 25 at Stubblefield an Intel has Decl Ex A at Dep 169 22170 3 9 Pixar 1304 PIX00044225 44229 Pixars salary 0 0 Arriada Keiper 69 Burmeister if a certain year in a tight Sheehy employees Chau decisions and bonus budgets of improvement being an average performer going receive Pay for Performance of salary needs rated a merit compensation Dep 47 16 19 53 23 54 1 in their groups Lucasfilms was the Googles Review recommended allocations confirms that low performing Lucasfilm Dep 48 1523 individual Executive make with a rating of 3.4 or below Wagner Dep 109 16 19 LUCAS0062293 Budget managers Intuit Ms bonuses and merit increases and for individual Dep 75 16 18 a Case5 11cv 02509LHK D Dr Hallocks Top 66 According workers to the has to do with high end top compensation Hallock 37 says Dr Hallock of the cold calling restrictions His theory or the compensation This theory finds no basis compensation systems outside Hallocks pay can be lowered for nearly all is top of the that if the were targeted box theory to work when employee in one job for the lower performing employees may be the title the in Defendants compensation systems Nor have of this case that companies increase company would have would support this the compensation to increase for theory a For employees in that job look at Plus for title the compensation the compensation organization below Dr Hallock where them discussed above 207 managers evidence that managers theory and automatically compensation recognizes the documents hands of individual structure his increased There and across to is scale help determine no such evidence testimonies based on their show Hallock the of lesser others within between all company would then need them upward in this works only with to case of which that pay determinations their rigid approach team because the 25 targeted I of those were needed under top to an am aware performance left in the There Dr As is no Hallocks employees simply to maintain the same relative compensation 207 229 239 respect the relative gains assessment of individual were trained to undertake the move box theory Adobes compensation personnel was asked whether Adobe 37 work Dr job titles top of the a pay those at the top of Hallock theory of all employees in other job titles and adjust maintain the same compensation 68 Dr Hallocks I top performing performing employees to maintain the same differentials or relative compensation to or the performing employees was lowered in the presence of cold calling for the highest box Some 106 of Is Incorrect way that another Page27 well as 67 studied Box Theory of the top workers the talent restrictions the entire lowered Dr to Filed06 22 13 Document442 For example when a particular percentage Case5 11cv 02509LHK in compensation difference Ms managers in ArriadaKeiper Not testified job title spans for each job title at each Defendant Adobes Computer a specific shows 2005 firm from Software Scientist a coordinated rigid approach seen any evidence that this affect other job titles Such adjustments would be 2009 To I number the of give a few examples 3 had 258 managers Intels have not seen any evidence that within a job would then be approach rigid anagers Hardware Engineer 7 had 274 Intels managers across to Developer Product Manager had 110 managers Intuits M percentage many managers Appendix E shows Component Design Engineer 7 had 1,074 managers managers and 106 of Dep 111 13 25 ArriadaKeiper Moreover each that time period Page28 between ultimately have the discretion 69 Filed06 22 13 Document442 applied Furthermore title outside have not I of the job title the antithesis to an individualized and pay for 38 performance system 70 During for a particular job code minimum makes up that is the salary the bottom contend that but for the alleged received cold Report would have calls Dr Hallock deposition of the maximum makes up box conspiracy Hallock box refers to the top of the the salary ranges box and Dep 278 7 279 9 Dr Hallock employees at the top of the salary range which would cause the box to This theory Defendants individual salary ranges inaccurate is Fredrik Andersson Matthew within the higher variance high payoff performance of product pay markets Id 35 pay in software 2007 21 39 T he wages See supra will select both across of highly footnote Industries The high pay Economics The Economists View of like other companies appears to would have grow Hallock firms star company Economic am familiar with 39 Thus an Julia Journal individuals compensation Lane Kathryn Shaw 2009 4 Firms that Reaching operate for the in workers and will pay stars both higher starting salaries and that innovating and within Human Resources skilled I based purely on market survey data not on Freedman John Haltiwanger Stars Who Pays for Talent in Innovative innovative because boxes were or the compensation increases 38 a raise the salary 229 71 received that the testified firms offer top firmsEdward Journal star workers have grown 25 26 of knowledge workers increases the Lazear and Kathryn Economic Perspectives relative to the typical Shaw vol 21 employee Personnel 4 Fall Case5 11cv 02509LHK movement within company does the Moreover because data movement 72 conspiracy individuals as explained compensation personnel salary ranges nor 73 of situations compensation To actual do when confirmed Dr a firm decides move 106 grows based on market pegged to the market by job higher but for the alleged the testimony of several salaries are not required because of changes box theory top of the retain an to of move of the salary range does not automatically that individual Hallocks Page29 move to would have been the contrary salaries automatically Nor does box the salary ranges above movement box only the boxes are or the not cause another Even assuming box not alter the the salary ranges box does of one Filed06 22 13 Document442 employee by Defendants to fit within the 40 to the range have any application increasing all wages to a number other than base onetime salary For example Dr Hallock firm decides an employee equity bonus IX to to retain grant or a retain one time an employee it does not offer an opinion by promoting bonus would Dr him Hallock to a that top of the if a Defendant a not give every employee applies when a position or by giving a higher agrees that box raise gave a retention Hallock Dep 137 17 21 Conclusion Dr Hallock does not show that a suppression caused by the alleged conspiracy would have Based on Defendants compensation expect that a suppression of wages to affected systemspay of wages all to some employees or nearly all Technical practices and pay philosophy some employees would affect all June 40 See supra footnote 34 27 21 Shaw Ph 2013 Class I members would not or nearly all Technical Class members Kathryn allegedly D Case5 11cv 02509LHK Reference Guide Document442 Filed06 22 13 Page30 of 106 to Cited Exhibits Exhibit 76586DOC001050 Location AEO xls Attached as in record 6 21 13 Decl Ex 24 to the Ex 17 to 1112 12 Brown Decl Ex 14 to 1112 12 Brown Decl Ex 21 to 1112 12 Brown Decl Ex 23 to 1112 12 Brown Decl Ex 19 to 1112 12 Brown Decl of Lin Kahn Declaration of Daniel McKell Attached as ISO Declaration of Donna Morris Attached as ISO Declaration of Frank Wagner of Lori McAdams of Mason of Michelle Maupin of Steven Opp Attached as ISO Declaration Opp Attached as Stubblefield ISO Declaration Opp Attached as ISO Declaration Opp Attached as ISO Declaration Opp Burmeister Attached as ISO Ex 22 to 1112 12 Brown Decl Ex 16 to 1112 12 Brown Decl Opp Opp Excerpts from the Deposition of Alvaro Gonzalo Attached as Alvarez Ex 23 to the 6 21 13 Decl of Lin Ex 13 to the 6 21 13 Decl of Lin Ex 14 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Bob Mansfield Attached as Kahn Excerpts from the Deposition of Brian Croll Attached as Kahn Excerpts from the Deposition of Chris Galy Attached as Ex FF to 510 13 Cisneros Decl ISO Supp Class Excerpts from the Deposition of Dan Attached as Batali Ex 22 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Daniel McKell Attached as Ex 8 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Darrin Baja Attached as Ex I to 510 13 Cisneros Decl ISO Supp Class Excerpts from the Deposition of Deborah Conrad Attached as Ex 16 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Deborah Streeter Attached as Ex 1 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Digby Horner Attached as Ex 11 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Donna Morris Attached as Ex 6 to the 6 21 13 Decl of Lin Ex 3 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of FrankWagner Attached as Kahn Excerpts from the Deposition of Jan Van der Voort Attached as Kahn 28 Ex 19 to the 6 21 13 Decl of Lin Case5 11cv 02509LHK Document442 Excerpts from the Deposition of Kevin Hallock Filed06 22 13 Attached to the Page31 621 13 of 106 Decl of Christina Brown Excerpts from the Deposition of Laszlo Bock Attached as Ex 15 to the 6 21 13 Decl of Lin Ex 20 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Lori Beck Attached as Kahn Excerpts from the Deposition of Lori McAdams Attached as Ex SS to 5 10 13 Cisneros Decl ISO Supp Class Excerpts from the Deposition of Mason Stubblefield Attached as Ex 7 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Micheline Chau Attached as Ex 10 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Michelle Maupin Attached as Ex 5 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Paul Otellini Attached as Ex DD to 510 13 Cisneros Decl to 510 13 Cisneros Decl ISO Supp Class Excerpts from the Deposition of Renee James Attached as Ex AA ISO Supp Class Excerpts from the Deposition of Richard Bechtel Attached as Ex J to 510 13 Cisneros Decl ISO Supp Class Excerpts from the Deposition of Rosemary Arriada Attached as Keiper Ex 9 6 21 13 Decl Kahn Excerpts from the Deposition of Sharon Coker Attached as to the Ex 18 to the 6 21 13 Decl of Lin of Lin Kahn Excerpts from the Deposition of Sherry Whiteley Attached as Ex JJ to 5 10 13 Cisneros Decl ISO Supp Class Excerpts from the Deposition of Shona Brown Attached as Ex S to 510 13 Cisneros Decl ISO Supp Class Excerpts from the Deposition of Stephanie Sheehy Attached as Ex 4 to the 6 21 13 Decl of Lin Ex 2 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Steven Burmeister Attached as Kahn Excerpts from the Deposition of Steven Condiotti Attached as Ex 17 to the 6 21 13 Decl of Lin Ex 12 to the 6 21 13 Decl of Lin Ex 21 to the 6 21 13 Decl of Lin Kahn Excerpts from the Deposition of Tim Cook Attached as Kahn Excerpts from the March 19 2013 Deposition of Lynwen Brennan Exhibit 1158 ADOBE Attached as Kahn 005661 Attached as Ex 1158 to 510 13 Cisneros Decl to 510 13 Cisneros Decl to 510 13 Cisneros Decl ISO Supp Class Exhibit 1159 ADOBE 019278 Attached as Ex 1159 ISO Supp Class Exhibit 1160 ADOBE 009652 Attached as Ex 1160 ISO Supp Class Exhibit 1304 PIX0004422544229 Attached as Kahn 29 Ex 27 to the 6 21 13 Decl of Lin Case5 11cv 02509LHK Exhibit 1308 Exhibit 1309 PIX00049648 Exhibit 1855 Exhibit 1861 231APPLE105542 Exhibit 216 Exhibit 2425 Document442 Pixar Salary Analysis Filed06 22 13 Attached as Page32 Ex 1308 of 106 to 510 13 Cisneros Decl to 510 13 Cisneros Decl to 510 13 Cisneros Decl ISO Supp Class Attached as Ex 1309 ISO Supp Class Declaration of Steven Burmeister Attached as Ex 1855 ISO Supp Class Attached as Ex 28 to the 6 21 13 Decl of Lin Kahn ADOBE 050724 Attached as Ex 216 to 510 13 Cisneros Decl ISO Supp Class GOOGHIGH TECH 00625147 Attached as Ex 2425 to 510 13 Cisneros Decl to 510 13 Cisneros Decl to 510 13 Cisneros Decl to 510 13 Cisneros Decl ISO Supp Class Exhibit 2501 ADOBE 009425 Attached as Ex 2501 ISO Supp Class Exhibit 2739 INTUIT 043560 Attached as Ex 2739 ISO Supp Class Exhibit 2740 INTUIT 052841 Attached as Ex 2740 ISO Supp Class Exhibit 391 76583DOC003888 Attached as Ex 391 to 510 13 Cisneros Decl to 510 13 Cisneros Decl ISO Supp Class Exhibit 398 76579DOC005956 Attached as Ex 398 ISO Supp Class Exhibit A to the Declaration of Frank Wagner Attached as ISO Exhibit B to the Declaration of Frank Wagner Exhibits to the Declaration of Donna Morris INTUIT 018387 INTUIT 043603 Brown Decl Ex 21 to 1112 12 Brown Decl Ex 14 to 1112 12 Brown Decl Opp Attached as to 1112 12 Opp Attached as ISO to Opp Attached as ISO Ex 21 11 12 12 Attached as Ex B to Stubblefield Brown Decl ISO Ex 30 to the Decl Ex 19 Opp 6 21 13 Decl of Lin Kahn INTUIT 038812 Attached as to LUCAS00062271 11 12 12 Attached as Ex A to Stubblefield Brown Decl ISO Decl Ex 19 Opp Ex 29 to the 6 21 13 Decl of Lin Ex 26 to the 6 21 13 Decl of Lin Ex 25 to the 6 21 13 Decl of Lin Kahn LUCAS00189964 69 Attached as Kahn LUCAS0062293 Attached as Kahn 30 Case5 11cv 02509LHK Filed06 22 13 Document442 Page33 of 106 APPENDIX A CURRICULUM VITAE KATHRYN SHAW Home Office 868 Lathrop Drive Palo Alto Graduate CA 94305 650 8045879 School Business of Stanford University cell Stanford CA 94305 5015 650 7254168 650 7259932 fax kathryns gsb http edu stanford www nber org cgi binsearch family2 pl CURRENT POSITION C Arbuckle Ernest Graduate School 2003 Professor of Economics of present Business Stanford University PREVIOUS ACADEMIC APPOINTMENTS Graduate School Administration of Industrial GSIA Carnegie Mellon University Ford Distinguished 2002 2003 1997 2003 Chair Professor of Economics Research Professor of Economics Associate Professor of Economics with Tenure 1994 1997 Associate Professor of Economics 1989 1994 Assistant 1981 1989 Professor of Economics GOVERNMENT APPOINTMENT of Economic Council Member Advisors Senate confirmed Washington Executive Office of the President June 2000 1999 2001 DC AFFILIATIONS IZA Research Fellow Research Associate 2012 Research Research Fellow Center for Economic and Policy Research Research Fellow Center for Corporate Performance NBER CEPR CCP Denmark present 2004 present 2004 London present 1995 Germany National Bureau of Economic present EDUCATION Harvard University Occidental AB RESEARCH College Economics Ph D Economics Los Angeles 1981 1976 California Mathematics STATEMENT Insider Econometrics Modeling Management Practices and Productivity http www nberorg reporter2009number4 shaw html NBER Reporter 2009 Case5 11cv 02509LHK Filed06 22 13 Document442 Page34 of 106 HONORS Graduate School 2011 2012 Business Trust Faculty Fellow of Fellow Society of Labor Economists Graduate Special School Award Sustained Teaching for CMU Business School Teaching Award Xerox Research for GSIA of Economics Teaching University Graduate Phi Beta Kappa Magna cum laude Graduate in 2001 1998 Institutions 1992 1993 Award 1992 1976 1979 Student Fellowship Departmental Honors in Economics Mathematics Occidental College Verdugo Valedictorian 2003 1999 2000 2002 Carnegie Mellon University Harvard 4.0 CMU Business International Best Paper on Employment Chair CMU Department Economics Department Excellence Award Commendation Columbia University Best Paper on Minnesota 2008 2005 2006 Business Trust Faculty Fellow of Hills Year Distinguished 1976 High School 1972 HONORARY LECTURES Occidental College 125th Women Distinguished in Economics Alumni Speaker Washington 2012 2012 University Keynote speaker Society of Labor Economists Guest Lecturer Adam Smith Lecture on Education Do 2009 2008 Training and the Evolving Workplace 2006 Vancouver Canada Bertha Leigh Memorial Lecture Sloan 2012 What Do CEOs Labor Economics Association European Keynote Address Conference TARGET PO University of Paris Science National Defense Washington State 2005 University Keynote address Atlanta Industry Studies University University Address 2004 Washington DC 2004 OTHER PROFESSIONAL EXPERIENCE Carnegie Mellon University Heinz School of Public Policy Carnegie Mellon University Department Head Department Head Economics Board of Industrial Governors Visiting Department Head Tutor 1987 1990 1989 DC 1984 1986 Cambridge Massachusetts 1978 1981 Economics in Cambridge Massachusetts Center for Policy Alternatives 1977 1979 of Technology Massachusetts Institute Research Economist Staff 1996 2003 Washington Federal Reserve University Assistant Faculty Acting Economist Harvard of the Management Department Affiliated 2 Case5 11cv 02509LHK Filed06 22 13 Document442 Page35 of 106 EDITOR AND PROFESSIONAL PANEL Board Member Society Bureau of Labor STEP Board National Technical Academy of Committee Advisory Science Outside Review Panel Hass School The Conference of Business of 2007 2009 2008 2009 Working Group 2006 2008 Labor Economists John Dunlop Award Committee Labor and Employment Relations 2006 2008 Associations 2003 2011 1999 2001 2008 Associate Editor Review of Economics and Statistics Associate Editor Journal Labor Economics of Outside Review Panel Management and Strategy Outside Review Panel Economics Research NSF Advisory Journal School Northwestern Kellogg Department Chicago 2005 1997 1999 2001 2003 Academic Research Science 1997 1999 2001 2003 Committee co chair Economics Subsection of Regional 2006 University Federal Reserve Panel American Compensation Association IRRA Labor 2009 University of California Berkeley HR Research AEA CSWEP Committee chair Mincer Award Committee Society 2008 2010 Economic Perspectives of Board Evidence Based Bennett Award 2013present 2011present 2011present Labor Economists Board Member Journal Advisory Editorial of Statistics 1996 1999 1994 1997 Associate Editor RESEARCH GRANTS Alfred P Sloan Advanced Role Foundation Differences International Capitalist the Business Countries January Principal Alfred in P Sloan 20032009 of Productivity Multinational Firms in 1,000,000 Freeman with Richard Investigator and Practices Foundation Firms Workers Quality Implications 2003 December 2005 January and Workforce 90,000 principal and Economic Earnings Inequality for Abowd John investigators John Growth Haltiwanger Julia Lane Role with Limor Golan to study the software industry subcontract Alfred P Sloan Advanced Role Foundation Officers Differences International Capitalist Principal in the Planning Grant Business Countries June 2002 and Practices December 2002 with Richard Freeman Martin Investigator of Productivity Multinational Firms in 45,000 Feldstein Russell Sage Foundation The Impact of Workplace August 1999 September Role P Sloan Role Demand for Less Skilled Labor Ann Bartel Casey Ichniowski of Human Resource Management Practices in the Steel Industry June 1994 December 700,000 Principal with Casey Ichniowski Investigator Science Effects US and Role on the Foundation National The Innovations 300,000 with Investigator The Impact 2002 2002 Principal Alfred and Technological Foundation of Participatory Japanese Principal Firms Investigator Human January Resource 1995 Management April 1999 with Casey Ichniowski 3 350,000 Practices on Productivity and Quality in Case5 11cv 02509LHK Filed06 22 13 Document442 Page36 106 of of Labor Department The Impact HRM of 1997 Role Principal An on Performance Practices International Perspective October 1994 August 76,000 Science National Foundation The Dynamics Role of Franchise Contracting October Investigator P Sloan Impact Human of Principle W E Upjohn for Human for Role 1995 Family of 98,000 headed about I Practices in the Global Steel 216,000 Management component Research Income and Wealth January 1991 June 1992 30,000 Investigator Science 1989 and Labor Relations to project Resource Employment Distribution Foundation Empirical Analysis of the Effects January Management 1994 Award investigator Principal National Resource June Institute The Changing Role October Foundation Industry June 1991 Role 1993 with Francine Lafontaine Principal Alfred The with Casey Ichniowski Investigator of Risk Aversion on the Investment in Human Capital June 1987 27,000 Principal Investigator Social Impact of Information and Robotics Technology Carnegie Mellon University 1984 Role Principal supporting work on Individual Adjustment to Structural Change 1983 20,000 Doctoral Investigator Grant US Department Dissertation of Labor 1980 1981 TEACHING EXPERIENCE MBA Courses Contemporary Economic Policy Stanford University 2003 present Making Data Relevant Data Driven Human Resource Managing Strategy Talent Entrepreneurship from the Perspective of Human Management Resource Productivity and Incentives Women pre term with Garth Saloner 280 281 289 Ed Lazear Strategy with Macroeconomics Internal Carnegie Mellon University 1981 2003 Strategy of Firms Topics in Labor Market Analysis The Changing Global Environment and the Wealth of Nations Undergraduate Courses Managing in the Information Markets Incentives Economy Carnegie Mellon University 1981 and Value Labor Economics Labor and Manpower 4 present Case5 11cv 02509LHK Page37 of 106 and Labor Relations Industrial Macroeconomics Intermediate US Labor Ph D Filed06 22 13 Document442 Harvard Policies 1978 1980 University Courses Personnel Economics Doctoral Seminar in Stanford University Labor Economics 2004 present Carnegie Mellon University 1984 Education Executive CoDirector GSB Summer Institute Sloan HR 2004 present 2006 present Program Citigroup Executive Program Executive Executive Program Alumni Weekend Events STUDENT SUPERVISION Sara Champion Thesis advisors James Liang Brianna chair Chris Stanton chair Cardiff Head Education Dept Stanford Anna Committee Head Economics Dept Stanford Kelly Outside Committee Mastri Outside Russell Ph D Thesis Chairman Zili Linda Christie Giovanna PUBLICATIONS A Personnel Policy Review Insider Journal for and Who the Stars Output Does Process for The 21 122 4 Counts Opportunity Targeting Economic Journal 1986 2003 with Edward Lazear Nordic Economic Fall View 1 Incentive of Labour Economics 2009 Industries with Fredrik Andersson Matthew 15 2008 710 724 Human Resources with Edward Lazear Journal of 2007 91114 Productivity Plant Level Comparisons of Product Innovation Skills with Ann Bartel and Casey Ichniowski Quarterly Journal of November 2007 17211758 Teams Journal Managerial Economics 36 Carnegie Mellon University Fields 2009 Lazear Labour Economics Economists 4 Way Talent in Innovative Lane Improvement and Worker Casey Ichniowski Beyond pays Julia Information Technology affect Economics Practices with Stops Along the with Edward Economic Perspectives How Renee Enhancement to Productivity A Roadmap Economics Personnel Mary Ellen Benedict 2 2011 Freedman John Haltiwanger Tenure Gant Brent Boning Jonathon Articles Economics Approach Econometrics Reaching Zhuang Prennushi 2006 2005 Control Spring Pay and the Effectiveness of Labor Economics Evidence 25 of Production Incentives with Boning and Brent 2007 613 650 from Franchising with Francine Lafontaine Rand Journal of 2005 131 150 Insiders Estimates with Casey Ichniowski Journal of the Value of Complementary Human 1 Winter of Economic 5 Perspectives 17 Resource Management 2003 155178 Case5 11cv 02509LHK Capital and Organizational Change Social with Filed06 22 13 Document442 Jon Gant and Casey Ichniowski in High Journal and Involvement Page38 Work Traditional Economics and Management of of 106 Organizations 2 Summer 11 Strategy 2002 289 328 Change and Wage Industrial Shore Sheppard The Dynamics Political UK The Human of Effects of Effects forthcoming Claude Menard Resource Human Systems Economics Personnel in Ltd Edward Elgar Publishing and Pensions Wage Premia Growth Franchising Lafontaine Journal of Old Dogs and New Casey Ichniowski Risk of Tricks The Impact of Pension Persistence The Elgar Publishing of Library Ltd of the New forthcoming Comparison of International Lazear and Robert Montgomery Economic U S and Japanese Casey Ichniowski with McNabb Eds Special and Cheltenham UK Growth of the Adoption of 35 July Myth 1997 510522 and Reality Journal Labor Economics of Work of Productivity Enhancing Earned Income with Francine 1997 on Franchising Issue and Income Inquiry US Market Papers on Economic Activity Microeconomics 48 July Eds Cheltenham Waterson International 1997 291 313 June P Edward in on Productivity Practices 86 Benefits on the Distribution and Labor Relations Review The Life Cycle Aversion Determinants Brookings of May 1999 704722 45 Entry and Exit in the Business Venturing An Empirical Analysis 1996 626653 Journal forthcoming with Edward and Franchiser An on Productivity Management Resource and Ed UK Edward Giovanna Prennushi American Economic Review Reprinted with Francine Lafontaine Paul Joskow and Michael Organization Plants with Casey Ichniowski Management Science The Beeson and Lara with Patricia 2001 466 483 Data from Panel Evidence Ltd Elgar Publishing Economics Institutional Industry Steel Review 54 March 1999 1041 1080 October Empirical Industrial in Edward from the Evidence Relations Franchise Contracting of Economy 107 Reprinted Inequality and Labor Industrial 1995 with Mary 14 October Practices with 165 Ellen Benedict Industrial 1995 740757 Female Labor Supply Journal of Human Resources 29 Spring 1994 348 378 The and Distribution Income and Benefits of Family Mary with Unanticipated Aggregate Disturbances and Tests of the Life Cycle Labor Supply of Married Economic Inquiry 30 October and Wages Pensions Benedict The International Effects November Ohio Journal of Economics LifeCycle Consumption Model Using Panel Data with Randall Mariger Review of Economics and Statistics The Ellen Benedict 1994 Politics of Skill An Women and its 75 February 1993 4856 Implications for Household Income Inequality 1992 659672 Hedonic Price Theory Approach Economics Review 33 February Investment on Migration and 1991 397 416 6 with Edward Montgomery and Mary Ellen 1992 111128 Industry Change Journal of Regional Science 31 Case5 11cv 02509LHK Filed06 22 13 Document442 Intertemporal Labor Supply and the Distribution Income of Family Page39 of 106 Review of Economics and Statistics 71 May 1989 196205 Life Cycle Supply with Human Labor 1989 431456 Wage Variability in the 1970 s 71 February 1989 2636 Disaggregate May 30 Statistics Montgomery Economic with Edward Relationship Review Review of Economics and Cyclical Sensitivity or WageEmployment Estimates of the Real Men The Quit Propensity of Married Journal 5 Labor Economics of Change Employer Change and Occupational the Transferability of 1987 533 560 October Skills Southern Economic Journal 54 1987 702719 January Term Contracts Economics A Formulation of and Wage Expectations 16 September PUBLICATIONS the Earnings Function Using Journal of Monetary Concept the of Occupational Investment Journal Human of Articles in Books Econometrics Empirical Studies of Insider Montgomery with Edward Inertia 1985 209226 19 Summer 1984 319 340 Resources of Shifts Economic International 1988 241246 Letters 26 Long Sectoral Accumulation Capital Organizational Economic How Robert editors Matters Management Gibbons and John Roberts with Casey Ichniowski Handbook University Press Princeton 2013 263311 Zooming Hannaway with editors Creating Online Jobs Out and Zooming in Management Resource with a Wages Structure Perspective International Bureau of Economic Editor Urban Profession Wright School Dan Freeman Amanda Richard Human District and Jane Goldhaber Press 2009 Institute International Structure Edward Edward with Lazear 2008 and Kathryn Lazear Shaw in Adoption and Impact the Industry in the Differences Shaw in the Business New K of US and U Department Value of of August 2006 The Pyman Bureau Structure University Practices University of Chicago National Wages and Mobility An Overview Information with Ann Studies of of Economic of of Wages An Chicago National Bureau with Edward of Trade and Industry London April 2006 Innovative HRM Practices in 7 and New HR of Firms Economic Lazear to in Ricardo Editors Richard Research Alex Bryson and Policy DTI JForth Economics Paper 927 eds Edward 227240 Technologies Bartel Casey Ichniowski and Productivity and Catherine Barber Making Linked Employer Employee Data Relevant The in in David Autor University of Chicago National and Mobility Editor The Valve Making Freeman and Kathryn Wage Teaching Dysfunction of Patrick Research 2009 Differences International Correa Conspiracy 2009 Research Practices New the DeArmond and Nakamura Emi Nakamura Alice Labor Market Intermediation Wage Rethinking Michael Lawler and James OToole Work in America Case5 11cv 02509LHK Human The Stern Innovation Is it Economy Chicago Policy and the Driver a Productivity University in Page40 Adam Jaffe Josh Chicago National of 106 of Lerner and Scott Bureau of Economic 2003 69114 Research New Revolution Resources Filed06 22 13 Document442 Technology Manufacturing and Impact on the Jobs of High School Its Industries with Ann Bartel and Richard Murnane editors Low Wage Shocks Technology New York America Problem solving Capacity and Look Deep Appelbaum Zavodny and Madeline Ginther Three Inside Annette Bernhardt 2003 155194 Russell Sage Foundation Donna in A Workers Educated and Casey Ichniowski in Eileen editors Technology Growth and the Labor Market Boston Kluwer Academic Publishers 2003 235 258 By What Means LHorty Yannick The Information Technology Affect and Jacques Incentives of Mairesse Cambridge Perspective Transatlantic Workers Does TQM Practices Ichniowski in Russell HRM and Innovative and Research Russell and Inequality in Nathalie the Greenan Economy A Digital Quality Improvement and Incentive Robert Cole and Richard eds The Scott Pay for Frontline Quality Movement in America Sage 367386 New Evidence eds The Quality Practices Robert Cole and Richard Scott in Productivity Wages and 2002 Press Quality and the Quality of Incentives with David Levine from Theory and Research Lessons editors MIT Employment on Adoption Movement and Effectiveness in America with Casey from Theory Lessons Sage 2000 347366 BOOKS EDITED The Analysis of Firms and Employees Lane of Shaw Kathryn Quantitative and Qualitative Fredrik Andersson and Till Von Wachter Approaches Editors Stefan Bender Julia Press National Bureau University of Chicago Economic Research 2008 The of Structure University Books Wage in Industrial An International Press National of Chicago Comparison Bureau and Labor Economics Relations for Edward Editors Economic of Research 2009 by the 2009 Industrial Lazear Book and listed Relations Kathryn Shaw as Noteworthy Section Princeton University Differences International Kathryn Shaw Coeditor in the Business Practices University of Chicago National Journal of Labor Economics and Bureau special issue Productivity of Firms Editors Richard Freeman and Economic Research 2009 of on Compensation Strategies with George Baker and Abbie Smith March 2002 Coeditor Alice DISCUSSION Discussion and Journal of Nakamura 29 Dan IN Resources special issue on The Economics of Women and Children with 1994 BOOKS commentary Sichel Discussion Human Spring National commentary Margaret Blair and New Economy Managing Capital in the Bureau Economic Research forthcoming The of New Thomas Kochan Relationship Washington Human DC 8 edited by Carol Corrado John Haltiwanger 2003 Capital in the Brookings American Corporation Institution 1999 edited by Case5 11cv 02509LHK Filed06 22 13 Document442 Page41 of 106 BOOK REVIEWS Review PAPERS C Katz Harry of Shifting Economic Journal Southern Gears Changing Labor Relations in the US Automobile Industry in 1986 299300 53 October AND PROCEEDINGS Using Econometrics Insider Womens to Study Productivity American Economic Papers and Association May 2004 217 223 Proceedings 94 Contribution to Productivity Regional Review Federal Bank Reserve of Boston 14 3 Q1 2005 4448 Technology Shocks and ProblemSolving Capacity Economic Review Bank Federal Reserve of Atlanta 2002 The Search Relentless Academy National Getting the Lines of HRM Proceedings of of Workplace D C Bureau 1999 of of National Function with Jon the Annual Meeting 53rd of the Affairs forthcoming Gant Casey Ichniowski Industrial 43 52 and Their Practices Proceedings Effects on Performance 1997 NSF Design and Manufacturing the Engineers Grantees US in and Japanese Conference Seattle WA Steel Society 1997 659670 Human Firms Proceedings MI Society the and the Production TQM and of Participatory Effects Japanese in Association Proceedings of Manufacturing The HRM Done Job Adoption Efficiency of Arbitrators Washington Relations Research The for of Manufacturing the Resource Management 1996 NSF Design and Quality on Productivity Practices and Manufacturing in U S and Conference Dearborn Grantees 1996 613614 Engineers WORKING PAPERS The Spread Retail Implications for Wages with Brianna Do Making with Less January Teachers September Teachers Why Productivity is Rising During Recessions Connective Who Leave Pulled by Opportunity December 2011 or Pushed by Accountability Pay Compression Leaving Capital as for Opportunity Social Capital The NBER working Econometrics Empirical Value paper Studies of with Anna with Sara Champion Management Practices Mastri and Sara of Problem Solving Networks for Champion Team Sept 2010 Players in Firms 15619 December 2009 How Management Matters December 2009 People with Edward Lazear and Christopher 2011 with Casey Ichniowski Insider Lafontaine 2012 The Value of Bosses with Edward Lazear and Christopher Stanton The and Francine Cardiff December 2012 available Stanton Modern of and Productivity October 9 16 2009 NBER Working Paper no 15618 Case5 11cv 02509LHK What do Bosses Do Working Wage Compression and Quality with Anna Among Talent Sorting and Skill Complementarity Freedman John Haltiwanger Insider Paul A Econometrics Page42 of 106 2009 Paper September Teacher Filed06 22 13 Document442 Champion Mastri and Sara Software Engineers January 2008 with Frederik Andersson Matthew Oyer January 2007 Roadmap Estimating Models to Organizational Performance of Casey with Ichniowski November 2006 Connective Capital Building Problem Solving Networks Firms with Within Casey Ichniowski revised April 2005 How Does IT Really Affect Improvement and Worker Working Research Paper No 11773 Explorer Firms and Star Workers Ann with Shocks Productivity in the Innovative Human Investigating HRM Innovative Workers the New Economy and Workplace Product Innovation Bureau National Process Economic of conference Between Product and Human Resource Lane Julia Strategies December 2004 2000 Efficiency speech July 2000 Shock as a Technology at of Capacity March 2002 speech September Practices Practices for presentation Link John Haltiwanger and Problem Solving Resource Comparisons and Casey Ichniowski Bartel November 2005 with Fredrik Andersson Matthew Freedman Technology Plant Level Productivity Skills Problem Solving Building on Technology Regulation Capacity in and Employmentsponsored Production by CEMFI Madrid June 1999 Towards High Involvement The Evolution Networks HRM Organizations with Jon Gant and Casey Ichniowski Practices Knowledge Labor Supply Human FirmSpecific Distinguishing Differences in Accumulation and the Franchise Contracting in Workers 1999 Capital and the Changing Access to Capital Fixed Effects April Changing Sources Good Jobs June 12 Distribution of Family and Implications 1998 Income 1996 with Francine Lafontaine December 1995 Investment in Industry Skills Implications Labor Supply and Taxes Possibilities December Estimates for from a Wage Growth and Worker Displacement Life Cycle Model Produce a Pessimistic December 1993 View of Estimation 1992 Labor Supply and Taxes 1967 1987 with Randall Mariger December 1991 REFEREE American Economic Review Canadian Journal of Economics Inquiry Economic Journal Economics of Education Review 10 Eastern Economic Industrial Relations Journal Economic International Case5 11cv 02509LHK Economic Review Journal International Economics and Management Strategy Journal of Money Labor Economics Credit and Science Social Science of Review Journal of of GSB Stanford Regional National Science of Science Committees University Human University Committee on Faculty Staff 2011 Center Report Resources 2013 present 12 Management X Committee 2011 12 Kenya MBA Study 2012 Trip Academic Coordinating GSB Faculty Liaison Committee 2010present University Committee on Evaluation Committee on Faculty CoDirector Human Staff Human of Resources 2006 Mellon University Committees Carnegie Committee 2002 2003 Budget and Finance 1999 Chairman Faculty Senate Presidential 1996 1999 Faculty Affairs 1996 1998 Council ViceChairman Faculty Senate Advising Advisory Committee Advisory Board for the Chair 1996 1997 1998 99 1994 1997 Co chair Award Committee of 1998 1999 Committee Lecture Series Presidents 1999 Review Committee the Social Sciences University First Year Council Undergraduate Center of the Study the Teaching of Executive Committee of the Faculty Senate Committee on NonTenured Senator for Faculty Senate Appointments Center University Education Council 1994 1995 new structure 1993 1995 with Student Luncheon Series Committee on Flexible presentation 97 Network Orientation Relations SS Dean’s Committee on Ryan for Academic Advising 1993 Commission 1989 1992 Committee on Academic Support Services H 1993 1994 1994 1994 Rates for Employees Committee for University Award Selection Search 1991 1992 Committee 1991 1992 Nontenured Appointments 1990 1992 Award Committee 1989 1990 1991 1992 presentations 1992 Teaching Center Orientation Advisory Committee on Family and Work Retention Committee Watson Fellowship Flexible 1989 1991 19901991 Committee 1990 1991 Benefits Advisory 1994 1998 1996 1997 1995 1996 Committee on Faculty Promotion and Tenure Policy Graduate 1992 1998 African Americans 1994 1995 University Parking Committee Human 2009 2010 2007 2009 2004 present Resource GSB Summer Institute Stanford MBA Study Trip Philippines 2010 2011 Student Newspaper Group 1989 1990 11 106 1993 1994 of Human Resources Macroeconomics Economic Studies Review of of Applied Econometrics Journal of Financial Economics Economic Journal Quarterly Southern Page43 ON COMMITTEES SERVICE Data of Journal Law and Economics Journal Political Economy Journal of Economics of Manpower of Banking Journal Quarterly Journal Statistics of Journal Journal Filed06 22 13 Document442 Journal of Management Economics and Foundation Case5 11cv 02509LHK Educational Gender Facilities H Graduate School of Industrial AdministrationCommittees Review Committee 2003 MBA Funding Deans Board 2003 MBA BSBA 2003 2002 Committee Committee Advisory Engineering IM 1988 1989 Executive Education Faculty Advisory Faculty 106 1987 1990 Associate Deans Council GSIA of 1987 1990 University Education Council MBA Curriculum Page44 SS 1988 1989 SS Subcommittee on Internships Fulbright Committee 1989 1990 CMU Filed06 22 13 Committee 1989 1991 Committee Studies H Document442 2002 Planning Committee chair Academic Actions Committee 2001 Policy Committee 1987 Strategy Recruiting Committee 2001 2002 MBA Curriculum Committee 2001 2002 Coorganizer CMU University of Pittsburgh Applied Micro Workshop 1995 1999 Economics Review Committee 1998 Management Game Board 1981 1998 most years Dean’s Advisory Council Subcommitteeon 1997 Sabbaticals GSIA Committee on Women SubcommitteeHead Tracks IM Curriculum Organization in IM 19941995 1992 1993 Review Committee 1991 1992 Economics Curriculum Advisory 1996 Chair Committee 1991 1992 Committee on Undergraduate of Conference Conference Organizer Conference Organizer Conference Organizer Conference CoOrganizer Conference 1990 1992 Conferences or Sessions CoOrganizer NBER Personnel CoOrganizer NBER Personnel CoOrganizer NBER Personnel Conference Economics NBER NBER NBER Personnel Personnel Personnel 26 27 2012 and Labor Studies Summer Institute July 28 30 2011 and Labor Studies Summer Institute July 27 30 2010 and Labor Studies Summer Institute July 26 30 2009 and Labor Studies Summer Institute July 30 31 2008 and Labor Studies Summer Institute July 29 30 2007 and Labor Studies Summer Institute July on Firms and Employers Ammersee Germany September and Sponsor Conference 2006 NBER Summer Institute Conference Organizer Conference CoOrganizer International Stanford Conference University Co Organizer Workers January 21st Personnel Economics Differences in the Cambridge July 28 2006 Business Practices and Productivity of Firms 19 20 2005 Century Human Resource University of Illinois November Management 11 12 2005 12 Practices and Their Effects on Firms and Case5 11cv 02509LHK Filed06 22 13 Document442 Page45 of 106 B Appendix Court Documents Declaration of Steven Burmeister in Support of Defendants Opposition to Plaintiffs Motion for Class Certification and Exhibits Declaration of Michelle Maupin in Support of Defendants Opposition to Plaintiffs Motion for Class Certification and Exhibits Declaration of Lori McAdams in Support of Defendants Opposition to Motion Plaintiffs for Class Certification and Exhibits Declaration Declaration Plaintiffs of Danny McKell of Donna Morris in Support of Opposition to Class Certification Adobe Systems Inc of Motion for Class Certification and Mason Declaration of Declaration of Frank in Support of Defendants Opposition to Class Certification and Exhibits March Deposition of Alvaro Gonzalez Alvarez Deposition of Rosemary ArriadaKeiper Deposition of Dan Batali Deposition of Lori Beck Deposition of 28 2013 7 2013 March 8 2013 March Deposition of Lazlo Bock March 2013 19 2013 March Deposition of Richard Bechtel 5 1 2013 March Deposition of Darrin Baja March 27 2013 Lynwen Brennan March 19 2013 Deposition of Shona Brown January 15 2013 February Deposition of Micheline Chau Deposition of Sharon 20 2013 March 21 2013 Deposition of Steven Burmeister November Coker 1 2012 20 2013 March Deposition of Steven Condiotti 21 2012 Deposition of Deborah Conrad November Deposition of Brian Croll March 21 2013 22 2013 Deposition of Chris Galy March 20 2013 Deposition of Tim Cook March 7 2013 March 1 2013 Deposition of Kevin Hallock June Deposition of Digby Horner Deposition of Renee James Deposition of Bob March Mansfield Deposition of Michelle Maupin Deposition of Lori McAdams Opposition to Exhibits Support of Defendants in Exhibits and Exhibits Stubblefield Wagner and 22 2013 April 11 2013 February August 12 2013 2 2012 Appendix B1 Plaintiffs Motion for Case5 11cv 02509LHK Deposition of Daniel McKell January Deposition of Stephanie Sheehy Deposition of Jan Van Deposition of Frank Wagner ADOBE 5 2013 216 Exhibit 398 76579DOC005956 Exhibit 1158 Exhibit 1159 14 2013 391 76583DOC003750 Exhibit 5 2013 7 2013 March Exhibit 29 2013 February March Deposition of Sherry Whiteley 5 2013 March der Voort 106 29 2013 April Deposition of Mason Stubblefield of 21 2012 March Deposition of Deborah Streeter Page46 20 2013 March Deposition of Donna Morris August Deposition of Paul Otellini Filed06 22 13 Document442 050720 ADOBE 005661 019278 Exhibit ADOBE 1160 ADOBE Exhibit 1304 PIX00044225 Exhibit 1308 Exhibit 1309 PIX00049648 Exhibit 1855 Exhibit 1861 231APPLE105537 Exhibit 2501 Exhibit 2739 INTUIT 043560 Exhibit 2740 INTUIT 052841 ADOBE 009652 009425 Expert Witness Report of Kevin Expert Report of Professor F Hallock Kevin May 10 2013 and Citations M Murphy and Exhibits 12 2012 November Order Granting in Part Denying in Part Motion for Class Certification Employee Antitrust Litigation Plaintiffs Consolidated Academic Fredrik Amended No 11 CV 02509 LHK Complaint Andersson Matthew Freedman for the Stars 2009 James N Baron Kevin F Hallock More 87 filed In Dkt 382 re High Tech Filed 0405 2013 13 2011 September Papers Reaching David Who Pay Why John Haltiwanger Julia Pays for Talent M Kreps Strategic Human Lane and Kathryn Shaw Industries Economic Journal in Innovative Resources People Earn What They Earn 1999 And What You Can Do Now To Make Cambridge Univ Press 2012 Casey Ichniowski and Kathryn of Case Shaw Complementary Human Resource Perspectives 155 Beyond Incentive Pay Insiders Management Practices of the Value Estimates 17 Journal of Economic 163 168 2003 Casey Ichniowski and Kathryn Shaw Insider Econometrics Empirical Studies Appendix B2 of How Case5 11cv 02509LHK Management Matters Handbook Roberts Princeton Resources Inequality George W Milkovich Bentley Jerry Economic of 106 editors Robert Gibbons Personnel Economics The Economists Perspectives 21 MacLeod The QuarterlyJournal Paul Oyer and Kathryn Spring Shaw Journal of Economic Thomas Lemieux of Organizational Page47 of Newman Shaw 4 View of Human Fall 2007 and Daniel Parent Performance Pay and Wage Economics 2009 Barry Gerhard Compensation Reward Systems Human Resource 87 McGraw Class Notes Chapter 4 2012 Kathryn Shaw Insider Econometrics A Roadmap with Stops Along the Economics 2009 Bates Documents 76586DOC0001050 INTUIT 043603 INTUIT AEO xls 018387 INTUIT and John Press 2013 University Edward Lazear and Kathryn Filed06 22 13 Document442 038812 LUCAS00062271 LUCAS00189964 LUCAS0062293 LUCAS189964 Appendix B3 Way Labour Case5 11cv 02509LHK Filed06 22 13 Document442 Page48 of 106 C APPENDIX payfor The purpose compensation of this appendix is twofold strategy of these Defendants key human highlight multiple performance a is It is first pay for performance philosophy management resource to provide evidence that the practices that contribute to second to It is making it a environment Adobe 1 Adobes compensation performance Morris and expected future contribution Decl 6 This is 184 14 185 6 Dep Morris Decl Exhibits 190 7 12 5 1 Dep 5611 14 ArriadaKeiper 2 evaluated Managers were performance salary and did equity grants Donna Morris HR 115 5 7 Morris Deposition of Digby Dep 117 20 118 1 employees were not determined on a individual who were in the best position to assess 7 9 ArriadaKeiper Dep 73 9 15 87 1888 1 Morris Decl their Dep trained and encouraged assessments of individual by his trained to evaluations each year Adobe conducted to differentiate compensation Morris Decl performance 7 18 her manager make salary an annual review during which every Morris Decl adjustments for their range Morris Decl above were 10 7 18 The salary and below the salary ranges also based on individual Appendix restrict Dep 69 2 24 each job a managers Managers could pay Dep 69 1224 performance C1 Dep 53 15 54 5 into consideration ranges did not Arriada Keiper employee Streeter employees based on these within budgetary confines while taking but rather served as guide posts ArriadaKeiper pay of Dep 88 13 25 89 11 90 4 105 4 13 175 24 177 2 Specifically employee was discretion Streeter Deposition of Donna Morris Managers were based on Declaration testimony as well as internal wide basis but were determined by managers among employees codes company the deposition Compensation for each employees performance Streeter by Deposition of Deborah Streeter Horner company confirmed to their Dep 68 18 21 8815 25 105 10 13 105 1822 176 22 177 2 documents ArriadaKeiper Horner has always been to pay employees based on policy Morris Decl Bonuses and 2325 Case5 11cv 02509LHK ArriadaKeiper Dep 208 23 209 16 performance the hiring stage hiring at manager Moreover Adobe A new hires Adobe and differentiate an individuals Page49 trained its managers compensation Dep 212 23 213 1 ArriadaKeiper salaries should reflect within lies to 106 pay for the discretion trained its managers education and of that of the starting in comparison skills to 32 employees Morris Decl existing Filed06 22 13 Document442 Apple 3 Apples philosophy performance and individual compensate to its Burmeister Apples by a long managers shot were responsible compensation at Bob variety to the 4 must be Mansfield company and to the of Steven Cook Dep so thats Dep 31 1 12 for each employee know Individual in their groups including as well as his or her education 96 10 11 number one you 47 13 19 5323 54 1 165 25 166 5 Managers were each employees professional experience Dep 46 8 14 4819 23 137 23 138 12 in 2006 and September July 2007 confirm and based on employee performance individualized training managers to differentiate c hanges compensation at Apple employees in his or her group employees in Mansfield and philosophy has been Declaration Tim Cook job that Ex by performance level must be commensurate Ex with performance Each manager salary increases and experience personal their general contributions for performance Burmeister 231APPLE095048 and Apples of factors in setting compensation team and job scope decisions individual for setting compensation 231APPLE105542 contribution pay prepared for Apple managers Presentations 1861.6 a contribution at We 7 Burmeister Dep to consider responsibilities their 3 Deposition of Decl Deposition of company to the responsibilities on a meritocracy built individual 1855.103 scope Burmeister Burmeister Decl instructed contributions employees based on in their job differences employees based on to compensate is conducted Burmeister Decl annual or 7 Managers performance reviews received stock grants and bonuses which they had discretion their group Burmeister Decl 67 Burmeister Dep Appendix C2 to budgets for merit allocate 58 8 11 among of Case5 11cv 02509LHK Filed06 22 13 Document442 at 231APPLE105542 Bonus 106 elements help motivate employees Three core compensation Base salary to stay competitive of Dep 3011 19 35 1936 23 Ex Mansfield 1861.6 Page50 to reward outstanding Stock achievement to invest in long term motivation and retention 5 Managers were but these guidelines managers with recommended also provided point and were one of served only as a reference were expected many factors that compensation Burmeister use to determine individual to salary ranges for each job level Dep 46 3 oneby 47 7 5513 19 57 11 20 Salaries are awarded salary ranges are reference points Theyre Those are purely a reference point on or below the that employees Managers could and maximum and minimum salary yearly not hard minimums or hard theyre Our performance maximums But salaries are truly determined based on an individual one assessment of the individual above based on the individuals performance did set individual guidelines and contributions to an employees for group the base salaries job level based Burmeister Dep 57 11 20 69 1 13 136 20 138 11 6 As a result total compensation varied employees within the same job level paid well and youll be compensated you wont you get paid as much are a major contributor Croll Dep as As a manager states do very very well at If a lot contributes at you if for your contributions someone who youll significantly Apple even among contribute you dont So Apple its a lot youll contribute as get much really about merit and if Deposition of Brian Croll 190 20 191 2 Google 7 Google pays Declaration B Dep Shona Brown 28 7 16 employees of Frank Google compensation Wagner its Wagner presentations Wagner dated 2007 and Deposition of Laszlo Bock Brown Dep 67 24 68 4 Appendix 4 5 Wagner Decl C3 2009 Bock Decl Exhibits A Deposition of Frank Wagner Dep 4825 49 4 Deposition of Case5 11cv 02509LHK Wagner Decl Document442 Filed06 22 13 Page51 106 of 5 Bock Dep 4825 49 4 Brown Dep 68 5 24 8 annually Decl and Merit based are based salary adjustmentsand promotion on an employees performance salary adjustments are completed during the previous four quarters Wagner 15 Wagner Decl 10 13 Wagner Decl 13 Wagner Brown Dep 76 5 14 Wagner Decl Dep 26 2225 27 1 6 29 1521 16 9 10 Wagner When Dep 29 79 bonus and equity are considered See Wagner 11 Compensation at Google Decl has always included equity and bonuses 30 in addition salary 26 27 Wagner Decl Appendix C4 Wagner Dep 131 9 11 to Case5 11cv 02509LHK Document442 Filed06 22 13 Page52 of 106 Wagner Decl 27 Wagner Decl 17 23 21 Wagner Decl Intel 12 Compensation at Intel Deposition of Deborah Conrad compensation is therefore is based on the individual Conrad Dep performance and performance performance versus the Meritocracy is market priority for Intel to The number one grade performance Deposition of Renee James one of the five key tenets of a high 203 7 8 Intels performance of each employee total 14 Appendix C5 for setting versus peers and Dep 244 21245 7 compensation philosophy and Deposition of Daniel McKell 13 James criterion McKell Dep is 190 1 3 Case5 11cv 02509LHK Document442 Filed06 22 13 Page53 of 106 15 16 Intuit 17 Deposition testimony from As explained by performance philosophy managers of Mason to focus on performance Stubblefield training that focuses is Stubblefield Whiteley are taught that they explained that that Intuits Dep Intuit Stubblefield is a at 109 20 22 pay for pay for w the Further person the Appendix w on skills Moreover payforperformance company retention training Deposition have any e dont on compensation they bring and the Intuit employee Sherry which means people when you look C6 e train based on performance All of our focus Dep 111 1 6 highest rated highest Intuits employee Mason Stubblefield same the and appropriate bring Intuit mak e pay decisions on paying anybody paying for performance contribution and demonstrate witnesses Intuit at that their managers total Case5 11cv 02509LHK we compensation Whiteley differentiate Intuit Plaintiffs Exhibit 36 14 19 at does not are instructed circumstances to Dep seek for Class Cert Dkt Understanding Deposition of Sherry are specifically trained to among employees No 215 Intuit the fundamentals own on each employees Brown Decl to trains Defendants in Support of managers its to Opp differentiate you of total rewards will help linking pay decisions but rather to performance as a leader outcomes and strategy 19 Employees pay based on performance Id at Performance for Results Differentiate 20 AND is Meet the about performance Pay Decisions persons role at the Because facing because for Exhibit may 2740.2 be awarded Differentiating Performance 2740.23 Budget important skills for one business unit that’s 164 See also Hallock Differentiating Moreover a business reviewed on an annual basis and increases 2739.9 Dep 38 2439 11 Whiteley Intuit salaries based 10 Ex 19 Decl vein managers 106 of Dep 111 8 12 to set individual Stubblefield Mtn 2739.5 business is In this Page54 people the right achieve pay equity or parity to differentiate rewards and recognition another are rewarding among employees Whiteley 18 managers we need to make sure Whiteley Filed06 22 13 Document442 we we’re company in so unit in a point big marketing many have so does not have salary ranges Stubblefield many in time is not determinative different business it of their salary units key or might be strategy leaders challenges it could be marketing different jobs and roles inside the and But in it really company 131 21 Lucasfilm 21 practice level Lucasfilms whereby pay is 22 compensation Condiotti Performance at is to pay for performance based on differentiated performance at the individual LUCAS00062271 Pay Steve Condiotti compensation philosophy overall Lucasfilm for Performance Dep is an Toolkit for Managers and a business unit see also Deposition of 163 25 164 4 important factor that determines Deposition of Micheline Chau Appendix C7 an individual Chau Dep employees 119 6 15 Deposition Case5 11cv 02509LHK of Sharon Maupin Coker Dep Dep 19 1718 market data were attributed Coker Dep two components to good performance budgets as well as general on performance rating although managers stay within their overall compensation records 160 and 145 showing of targets Dep for any 31 1 32 8 that rating provides managers for merit increases from the Boards see also It means was a guidelines how 69 at 140 175 a merit increase performing employees Each individual perform they as long as they LUCAS189964 h igher employees depending on distinguished not eligible for that with overall and bonuses which for employees with one employee An performance based and determined for certain employees were than lower performing Brennan is of Directors to deviate the bonuses that in terms of compensation Lynwen Brennan competitive that all of her salary increases Dep Beck Dep 138 7 140 20 Chau also noting larger pay increases differently and bonus merit increase have discretion budget and der Voort compensation annually based on performance guidelines 6 eg due to Needs Improvement or bonus receive ratings Van der Voort testified Deposition of Lori Beck manager The Lucasfilm Board depend 106 of and she has never been told that her salary increased merit ie annual salary increase compensation Van of salary determination are performance For example Lucasfilm recruiter Lori Beck the employees Page55 Deposition of Michelle Maupin see also Deposition of Jan Lucasfilm adjusts employee individuals by 253 23 254 1 261 1620 39 5 11 95 6 7 reason other than performance 23 Filed06 22 13 Document442 is treated Deposition of 166 20 21 Pixar 24 Pixar believes from employees department 25 total pay for performance Pixar determines base salary raises based on specific practices generally in a philosophy of managers Salary increases McAdams in particular reflect sets the pool for base salary raises at salary but individual managers among the employees The are given Decl individual an amount equal discretion determination of each employees Appendix C8 recommendations 21 the contribution wide in its compensation to to of the employee Pixar approximately percent distribute their salary pool salary increase generally reflects of Case5 11cv 02509LHK the employees performance skill and contributions Dep 31 2 17 Deposition McAdams noting that the people who were Filed06 22 13 Document442 to of Stephanie struggling Pixar Page56 Deposition of Lori Sheehy Sheehy would probably Dep not receive a of 106 McAdams 169 22 170 3 percent increase 26 percentage year For example Dana to each of the members of Deposition of Dana Batali discretion Batali Manager of Pixars to award more than his team according Batali RenderMan to their performance Dep 43 1217 Mr Batali raises and practiced 46 9 47 11 Appendix C9 Team felt that discretion ascribe sa of the previous he had the regularly Id at Case5 11cv 02509LHK Filed06 22 13 Document442 of this appendix Defendant and to provide examples of 106 by each as used to clarify the definition of internal equity is of D APPENDIX The purpose Page57 application its Adobe 1 At Adobe employees individual Keiper the concept of internal equity and performance with skills Dep 122 9 15 and employees candidates among other factors it decisions differentiate not at a 2 firm wide The evidence Dr Hallock Digby Horner to cites support we equity was I which Dr Hallock job code was in on Streeter on the list here manager employees For of Engineering level the compensation Appendix D1 113 of is this is guy is a high But by comparing 10 a specific the pay of a group of an infrequent who Dep basis to star employees relative to that peer really a rock star and occurrence about his performance and being able to say well what has he done in comparison these other folks particularly the one in 34 for individual at the data driven fashion decide this is differences internal equity Hallock of adjusting similar demonstrates the ways managers want to understand what his performance make an exception here because are individual Senior Vice President deciding means on an Morris Decl decisions applied eg Arriada as one factor internal equity applied Adobe cared about not used as a so that I can really in a willing to is compensation Plaintiffs and the concept same capabilities consider to an just parity between Dep 123 1925 250 25 251 11 making compensation shows Dep 190 15 201 17 community are Internal by and is to ensure that pay is differentiated based his claim that employees doing similar work Horner managers level to equalize cited equity skills to the testimony of Adobes the testimony and evidence employee at the concept of internal equity considered internal equity when example its and contribution Arriada Keiper 90 1 15 175 8 13 Thus Internal about looking Adobe encourages when making compensation performance is employees See those of other Dep 148 13 149 8 Morris refers to the act of comparing its to more some of Case5 11cv 02509LHK 3 Dr Hallock on also relies phrase internal equity Similar to Mr ADOBE adjusting 009425 and reduction ADOBE005661 019278 009652 the compensation considering 122 14 123 2 at considering ADOBE making a counter 9 7 to packages HR 050724 offer which document is new the to be handled equity Exhibit among other things offer for a employees Dep new hire Exhibit should always be considered when by case a case 1160 See also ArriadaKeiper hire with those of existing on hire and the compensation stating internal equity new equity for by when deciding internal equity to 1159 Exhibit employees 9 5 to align with internal offer for of existing when from offer for a potential of the market and internal by comparing expected performance of 216 from the 2501 base salary increase employee recommending compensation 106 not as a basis of Exhibit recommending promotional compensation packages based on considerations ADOBE employees recommending compensation existing of internal equity employees individual to base salary increase by comparing him with an ADOBE Ms Morris considered of a group of recommending reduction Page58 emails from Donna Morris that contain specific for the compensation to 1158 Exhibit several Horner recommending compensation packages automatically Filed06 22 13 Document442 basis Apple 4 At Apple internal equity particular group are compensated contribution Baja what youre looking contribution Dep 44 2 16 at if managers in manager has individual in your employees within a share their performance compensation relative to the other employees Internal how Dep 63 17 21 Burmeister at of who relative to others youre looking your scope of management 5 a measure is Internal that its group fair or across equity levels means and to me that based on the individuals your organization whatever is equity is but one of multiple determining the pay of their the latitude to determine promotional increase Internal equity reports what may is or factors that Burmeister appropriate may may figure into the decisions Dep 64 13 17 to pay an individual not factor into their ultimate Appendix D2 of At Apple each for decision Apple Case5 11cv 02509LHK was more concerned with rewarding employees Burmeister Dep 165 25 166 5 we background and they’re always individual The evidence as Dr Hallock one when making an compensation Alvarez Dep 30 Apple would equity 122 Dep 44 factors employees at the the relative making compensation offer to a new asked if at same level Mr for aware of and And it pay of employees with similar for new recruits David Gonzalo citing Baja in there have Dep 43 44 than somebody Alvarez one is 124 who been circumstances is you that new hires might create No No Bechtel responded I wouldnt pressure say thing wed know weve done quoting Deposition of Richard Bechtel higher pay to See in what other people were making someone onto a team offering achievements hire one of the factors to consider citing Deposition of Alvaro reasons across don’t try to control determinations were paying somebody more coming been business When Apple we confirms Apple recruiters were cites peer thats performing at a good level that but theres 106 making comparisons than that of decisions noting that looking do when hiring why we want to know their internal is many of experience and job functions when 120 would say I Page59 look at the individual’s merit scope of responsibility sometimes considered Hallock performance individual consistency that 6 Filed06 22 13 Document442 Bechtel to pay current that Bechtel Dep 45 3 15 7 decisions Many As Apple factors other than internal equity recruiting are considered manager David Alvarez noted groups Alvarez 8 consider when making an compensation contributor technical however as well as Baja pay they bring on people to recruiter Darrin Baja testified of employees in the group for which Baja continued individual Dep 208 21 21025 Likewise former Apple compensation making Every situations very different Every manager has different methods that they apply in terms of when their in offer to a candidate that a candidates what this Hallock offer individual he was would hiring 122 also was that the one thing he would citing Baja Dep 44 17 24 be determined based on her existing could bring to the company as a technical Dep 44 25 45 4 Appendix D3 Mr Case5 11cv 02509LHK Filed06 22 13 Document442 Page60 of 106 Google 9 should be paid at Compensation compensation in 10 to similar compensation states for each the However know their internal equity is Googles fair across of receive to each employee’s performance equitable a little used term at Google and 12 employees Wagner Decl field people talk about internal equity which pay should be Director and that therefore there should be variation performance relative to other people of like contributions Google employees should employee that corresponds company In the compensation you based on means that Wagner levels Frank that internal equity treatment compensation contribution uses the term internal equity to mean Google Bock generally Dep 47 2548 1 means people people Bock Dep 48 2 9 Bock 48 2549 4 He well goes on to say everything’s equally You know distributed fairness is commonly taken to mean you know Within Google Bock 11 Consistent See with Googles eg Wagner Dep definition of internal Dep 184 19 185 21 2910 21 Appendix D4 equity Dep 49 6 19 Case5 11cv 02509LHK Ex A Wagner Decl Managers Engineering at Filed06 22 13 Document442 2007 Salary Planning Page61 of Presentation 106 to p6 and p13 Intel 12 check At on pay Intel internal equity for those individuals of pay for performance different people in the equity Id When across equity is compare people to Dep 242 20 243 14 of criteria same grade band Internal equity James a set is used across a variety equity asked I but one of Did you the workforce aspirational is at think think Intel it is a many Dep 244 21 245 3 compensation 14 to guideline Managers based on Conrad their an extension check and as a of the concept between of different metrics performance first goal the that helps pay on but we McKell a Vice response was I know of internal think internal apples and focus on pay for performance and foremost look individually and take into account when making pay level principles you look at you grade level performance Dep 203 8 10 Deborah Conrad that she has given how in at each employees similarly situated employees are that grade level their skill set and Dep 123 2 124 1 188 1 4 President and Intels Chief Marketing Officer testified hundreds of employees raises over time but that giving one person in her group a raise has not resulted in her raising the compensation group is in aggregate some general at was an important based on performance being compensated other factors use It factors that are evaluated maintaining oranges data and give you a sense of whats going James we that of similar skill levels 242 20 243 2 13 decisions and is Conrad Dep 249 19 250 22 15 Appendix D5 for all the other employees in that Case5 11cv 02509LHK Document442 Filed06 22 13 Page62 of 106 16 Intuit 17 Whiteley pay equity he stated between its looking for that pay and performance in that your highest your highest Galy that Dep 103 22 104 3 When paid Dep employees 202 17 19 Stubblefield Stubblefield I think its Stubblefield was asked to define looking for that relationship performing employee should likely be one of Dep 117 3 9 see further testified Appendix D6 also Deposition of Chris Galy All our focus in training on Case5 11cv 02509LHK compensation is Document442 We paying for performance paying people the same Stubblefield 18 in other companies As When Page63 on specifically train not to focus Dep 111 Intuit Filed06 22 13 of 106 internal equity in 27 is Galy was asked he responded Galy Dep 202 20 203 1 Dep 209 18 24 Galy 19 The overwhelming away from transitioned high performance workplace employees commensurate meaning of pay equity an objective INTUIT focusing since 038812 on should be that characterizes Intuit their Performance INTUIT on equal See at equity phrase eg INTUIT a pay for performance employees reflect These documents Performance for Results 038812 documents the oft repeated 2009 018387 internal equity the focus is Intuit contain talent and markets are not Differentiating had clear that Intuit it for all high tech world pay the contributions documents 2007 INTUIT 2005 make would mean equal pay internal equity with after concept of internal equity In a traditional workplace the traditional such as a union environment of documents majority a means paying this transition in the Internal 043603 explain In Equity is not 2006 that instead of philosophy and that there Differentiating Pay Decisions for 14 Lucasfilm 20 peers At Lucasfilm internal equity This definition of equity equity He explain the significance states that Senior is evident Manager of in is an the issue in evaluating many quotes the employees relative to Dr Hallock uses in defining Compensation Michelle Maupin was asked of peer relationships in setting compensation Appendix D7 at their Lucasfilm Can you she Case5 11cv 02509LHK The answered significance is range using the same type of peers and to market 21 As evident employees are making The from These policies reflect employee would employee is 23 heavily put contrary to this Dep 246 6 14 or even the on be the facts regarding pay range to which Michelle testified job Van Maupin because Van in a job family three to four levels at a compensation and The salary range der Voort require is not affect was assigned Jan basis and pay the overall Van was der Voort salary structure provides a does not have any individual 60 and compensation reasons byindividual Dep 204 22 24 generally for one salaries for every raise would that Lucasfilms der Voort Lucasfilms then multiple manager adjusting the pay levels of grade testified pay for the pay of the lowest employee higher that it would level in the job family typically three to four levels and the lowest level below obviously for a job level job increase Lucasfilm for several what you pay an Lucasfilms you have adjustments to Lucasfilms what other Dep 166 24 167 6 the individuals officer the salary range for that conversely data Maupin performancenot on set and giving a raise to one individual employees in the same job family where 41 skill compensation extremely rare that internal equity would would be 41 the entire pay structure had wide ranges within salary grades increased pay pay one factor relevant in setting on pressure Administrative within a job family similar job and does not affect pay policies instituted by Lucasfilm range of salary for a particular pay grade and structure but is Since compensation was determined on an individual Lucasfilms Chief impact equity Plaintiffs theory that related to performance structure past quote other factors upward 106 of align those employees relative to their sets to appropriately of internal equity many employees pay within a individual based on job level Coker notion Page64 167 Hallock Employees are compensated 22 to consider skill Filed06 22 13 Document442 overall the senior level salary structure determined by benchmarking Maupin Dep 186 13 21 And did not have against relevant a direct effect external on market survey Dep 195 25 196 6 Chau Dep 32 933 15 124 11 125 23 Maupin Dep 148 25 149 12 Appendix D8 Case5 11cv 02509LHK Filed06 22 13 Document442 compensation because the pay structure and individual individual Page65 compensation 106 of moved Id 9424 95 8 independently of one another Pixar Dr Hallock 24 is used Resources Dr of this fact in light Dr comparisons does not Lori Hallock Hallock them evaluate experience against and and Pixar documents points We existing look employees at specific employee we evaluate worked theyve experience their And and determine whether theyre Sheehy Dep 143 20 24 spectrum from rock receive increase to the standard percent star noting my team according to PIX00044225 2006 make them an 44229 a 25 to as 25 Howard Look low Second as then in we and level skill look at where Human new how we While McAdams and performance into raise people performance how Look and number the existing of projects noting are performing all along the that while most employees would year See also spreadsheet of one Pixar group varied a proposed D9 not receive a percentage to each of the ascribe Appendix With an performance id 40 2541 7 were struggling an email written describes their employees salary increase 0 cites who of the previous among employees Dr Hallock I 31 10 17 to the studio given that Pixar analyzes Id assessment of a particular they are in the range relative to those things the right place contemporaneous In the email skills an individualized contributions Dep Tr 4312 17 their of offer relative to their Dep 32 12 15 struggling id 169 22 170 3 base salary increases high as performance percent Batali Vice President experience and education and and and much more by performance on makes peerto peer the cited testimony as well as other Pixar evidence demonstrates that Pixar is guided employees the phrase internal equity Pixar determines the base salary of a testimony indicates that Pixar takes other employees salaries account in setting compensation which testimony of Pixars talent McAdams our existing in to evidence that Pixar She was asked how employee and answered salaried any the deposition cites McAdams cite by Pixars leveling Ex a members of 1304 demonstrating that in significantly Vice President matrix he from as of Software has developed to Case5 11cv 02509LHK Pixar a consistent framework for evaluating give engineers 1309 that Document442 It also makes it much PIX00049648 Look we value them at offers from other least as easier to continues much companies Id as e want some new ourselves against to send a clear hires who Contrary to Hallocks D10 the Radford message are seeing 106 its software survey Ex to these engineers much more competitive compensation survey comparisons and based on individual Appendix of of claim that the email describes related to internal equity the email underscores that Pixars by benchmarking Page66 the expected contribution compare w Filed06 22 13 employee decisions issues are guided contributions Case5 11cv 02509LHK Filed06 22 13 Document442 Appendix Page67 Employer Title Class 106 E1 Manager and Employee Counts by Employers and Technical of 2005 Managers Titles 2009 Employees Manager Years Employee ADOBE 4 4 5 6 ADOBE 15 31 23 49 ADOBE 1 7 1 7 ADOBE ADOBE 16 28 30 69 14 20 25 37 ADOBE 12 16 16 23 ADOBE ADOBE 1 1 3 3 3 2 ADOBE 258 477 546 1,035 ADOBE ADOBE 238 451 534 1,036 1 1 1 1 ADOBE 2 2 2 2 ADOBE 3 3 3 4 ADOBE 1 1 2 2 ADOBE 4 17 8 27 ADOBE 3 10 4 15 ADOBE 9 11 12 14 ADOBE 17 22 27 34 ADOBE 13 14 17 20 ADOBE 3 2 3 3 ADOBE 6 5 10 15 ADOBE 10 19 20 43 ADOBE 10 9 19 21 ADOBE 33 61 94 159 ADOBE 3 3 5 ADOBE 3 1 3 5 2 ADOBE 3 5 4 ADOBE 1 1 1 1 ADOBE 4 3 12 12 6 ADOBE 2 1 2 2 ADOBE ADOBE 22 32 44 70 12 12 14 17 ADOBE 2 1 2 2 ADOBE ADOBE 1 1 1 2 1 3 3 5 ADOBE 1 4 2 5 ADOBE 1 3 ADOBE 28 48 40 81 ADOBE 58 106 100 204 ADOBE 65 138 106 288 ADOBE 40 46 60 84 ADOBE 3 2 4 4 ADOBE 13 18 20 40 ADOBE 4 18 8 39 ADOBE 18 18 28 34 ADOBE 10 13 13 19 ADOBE 8 10 13 18 ADOBE 1 1 1 1 ADOBE 2 3 2 ADOBE 75 79 143 185 ADOBE 48 44 81 101 ADOBE 1 1 2 3 ADOBE 11 19 13 22 ADOBE ADOBE 4 6 3 5 7 3 ADOBE 37 55 77 115 ADOBE ADOBE 34 42 59 84 26 38 47 75 ADOBE 20 24 32 44 ADOBE 59 74 94 130 ADOBE 93 121 196 292 ADOBE 88 109 189 312 ADOBE 25 29 43 50 ADOBE 53 56 97 119 ADOBE 43 53 98 139 ADOBE 27 20 55 59 ADOBE 1 3 1 3 ADOBE 3 7 6 12 ADOBE 4 5 5 9 ADOBE 6 14 8 18 ADOBE 5 5 5 5 ADOBE 7 11 7 11 ADOBE 1 1 1 1 ADOBE 7 9 8 16 4 3 4 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page68 Manager and Employee Counts by Employers and Technical Employer ADOBE Title Class 2005 Managers 4 of 106 Titles 2009 Employees 3 Manager 4 Years Employee 6 ADOBE 21 21 24 29 ADOBE 178 274 308 483 ADOBE ADOBE 2 2 4 2 4 7 7 ADOBE 3 7 5 10 ADOBE ADOBE 2 2 2 2 2 2 2 4 ADOBE 2 2 5 ADOBE ADOBE 57 57 133 1 1 1 ADOBE 62 86 114 ADOBE 3 4 3 ADOBE 1 1 1 ADOBE 44 49 97 109 2 5 179 1 178 5 1 ADOBE 89 96 145 174 ADOBE 107 110 209 251 ADOBE 63 50 125 151 ADOBE 1 2 1 2 ADOBE 1 1 1 1 ADOBE 1 1 1 1 ADOBE 1 1 1 1 ADOBE 5 9 8 15 ADOBE 12 30 18 45 ADOBE 3 6 4 ADOBE 86 78 189 246 ADOBE 205 366 485 1,044 ADOBE 4 5 4 7 ADOBE 2 1 3 3 ADOBE 2 4 4 6 ADOBE ADOBE 4 5 1 4 1 1 1 ADOBE 21 24 40 52 ADOBE ADOBE 1 1 1 1 1 1 1 1 ADOBE 5 8 10 14 8 5 ADOBE 5 9 7 14 ADOBE 13 14 22 26 ADOBE 1 1 3 3 ADOBE 2 2 2 2 ADOBE 4 3 5 5 ADOBE 1 1 2 2 ADOBE 6 7 12 18 ADOBE 7 12 10 18 ADOBE 89 122 159 265 ADOBE 31 37 70 91 ADOBE 8 6 13 19 ADOBE 12 19 16 32 ADOBE 10 12 14 20 ADOBE 21 47 64 150 ADOBE 13 8 24 24 ADOBE 4 10 ADOBE 3 5 4 ADOBE ADOBE 2 2 2 3 3 11 4 19 ADOBE ADOBE ADOBE 1 5 2 ADOBE 6 2 12 1 6 8 2 2 1 5 ADOBE 9 12 10 13 ADOBE 112 215 231 483 ADOBE 133 314 334 849 ADOBE 76 97 156 240 ADOBE 12 30 18 47 ADOBE 2 4 3 5 ADOBE 4 2 6 ADOBE 22 72 42 7 179 ADOBE 2 2 2 2 ADOBE 12 21 16 29 ADOBE 17 26 24 40 ADOBE 1 1 2 2 ADOBE 2 10 4 16 ADOBE 8 9 9 14 ADOBE 2 4 6 13 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page69 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers ADOBE of 106 Titles 2009 Employees Manager 1 Years Employee 2 ADOBE 1 1 1 1 ADOBE 1 3 1 3 ADOBE ADOBE 1 1 1 1 1 5 3 11 ADOBE 6 25 8 33 ADOBE ADOBE 14 28 21 45 11 28 15 41 ADOBE 8 7 13 14 ADOBE 16 19 25 37 ADOBE 1 2 2 4 ADOBE 1 3 2 5 ADOBE 1 1 1 1 ADOBE 10 10 12 18 ADOBE 25 46 32 73 ADOBE 21 45 29 68 ADOBE 4 7 6 9 ADOBE 3 6 6 11 ADOBE 17 18 30 48 ADOBE 4 1 5 5 ADOBE 2 4 3 6 ADOBE 3 4 3 7 ADOBE 4 7 6 9 ADOBE 8 12 13 19 ADOBE 1 1 1 1 ADOBE 1 2 1 2 ADOBE 6 7 7 9 ADOBE 10 12 11 16 ADOBE 4 3 5 5 ADOBE 5 8 5 9 ADOBE 4 4 APPLE 3 3 3 3 3 APPLE 2 3 6 10 APPLE 2 15 2 5 2 8 APPLE 3 3 APPLE 4 2 4 4 APPLE 2 1 3 3 APPLE 11 17 15 27 APPLE 27 55 41 75 APPLE 41 103 63 168 APPLE 31 62 52 92 APPLE 4 4 4 5 APPLE 3 1 5 5 APPLE 6 7 11 12 APPLE 10 14 16 25 APPLE 7 14 14 24 APPLE 2 2 2 2 APPLE 4 2 4 4 APPLE 11 10 20 31 APPLE 8 13 16 35 APPLE 7 8 15 30 APPLE 3 4 6 14 APPLE 2 2 5 9 APPLE 1 2 2 APPLE 3 1 2 6 6 APPLE 1 1 5 5 APPLE 2 9 14 APPLE 2 5 6 6 18 APPLE 4 5 8 10 APPLE 3 3 6 8 APPLE 1 1 1 1 APPLE 1 1 1 1 APPLE 5 3 8 9 APPLE 10 15 19 28 APPLE 6 9 11 15 APPLE 3 2 7 7 APPLE 1 1 1 1 APPLE 1 2 1 2 APPLE 1 7 5 12 APPLE 5 15 12 44 APPLE 2 4 5 9 APPLE 1 1 1 1 APPLE 3 5 7 8 APPLE 2 1 5 5 5 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page70 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee APPLE 2 3 4 6 APPLE 2 1 4 4 APPLE 1 1 2 2 APPLE 7 10 11 16 APPLE 6 10 12 24 APPLE 7 7 14 21 APPLE 2 2 4 4 APPLE 13 17 15 19 APPLE 20 43 29 51 APPLE 22 54 37 76 APPLE 18 31 29 40 APPLE 3 4 3 4 APPLE 2 1 2 2 APPLE 4 8 7 10 APPLE 12 10 15 17 APPLE 4 3 7 7 APPLE 2 1 2 2 APPLE 6 12 21 40 APPLE 6 3 10 10 APPLE 3 2 4 4 APPLE 2 7 5 15 APPLE 6 15 12 33 APPLE 5 12 11 29 APPLE 1 1 1 1 APPLE 2 2 4 4 APPLE 1 1 3 3 APPLE 4 6 7 7 APPLE 33 39 54 78 APPLE 51 79 97 170 APPLE 59 92 126 216 APPLE 40 54 93 149 APPLE 7 6 11 11 APPLE 7 5 11 16 APPLE 13 24 22 36 APPLE 28 36 54 90 APPLE 10 9 16 18 APPLE 2 2 2 2 APPLE 1 1 1 1 APPLE 13 17 24 34 APPLE 3 2 3 3 APPLE 14 15 17 18 APPLE 1 1 1 1 APPLE 4 4 4 APPLE 181 331 407 775 APPLE 81 119 146 231 APPLE 9 10 14 17 APPLE 2 1 2 2 APPLE 7 10 14 20 APPLE 6 5 9 9 APPLE 1 1 2 2 APPLE 2 1 5 5 APPLE 1 1 1 1 APPLE 3 2 5 5 APPLE 2 4 4 APPLE 2 2 1 3 3 APPLE 1 1 2 2 APPLE 14 15 22 24 APPLE 24 24 37 53 APPLE 11 10 21 25 APPLE 13 9 26 27 APPLE 20 39 40 61 APPLE 38 52 70 101 APPLE 39 45 79 101 APPLE 6 4 9 10 APPLE 1 1 1 1 APPLE 2 2 4 APPLE 57 65 96 116 APPLE 135 216 269 438 APPLE 13 18 14 19 APPLE 3 3 3 3 APPLE 8 9 8 9 APPLE 16 22 16 22 4 4 APPLE 5 4 7 7 APPLE 16 28 26 57 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page71 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee APPLE 16 26 28 69 APPLE 6 5 9 10 APPLE 3 3 3 3 APPLE 11 12 16 22 APPLE 11 10 14 18 APPLE 2 1 2 2 APPLE 1 4 4 APPLE 1 1 1 1 1 APPLE 1 2 5 10 APPLE 4 5 9 11 APPLE 2 2 4 4 APPLE 1 2 4 8 APPLE 1 1 1 1 APPLE 2 8 4 14 APPLE 1 1 2 2 APPLE 3 3 4 5 APPLE 2 1 4 4 APPLE 2 2 3 3 APPLE 9 14 16 21 APPLE 17 38 33 77 APPLE 19 35 42 73 APPLE 10 16 19 38 APPLE 4 5 9 10 APPLE 1 1 1 1 APPLE 6 5 8 9 APPLE 13 17 29 42 APPLE 29 42 57 87 APPLE 23 32 40 71 APPLE 1 1 1 1 APPLE 3 3 4 4 APPLE 8 14 14 24 APPLE 10 27 25 75 APPLE 6 5 12 13 APPLE 4 5 7 APPLE 5 4 4 9 10 APPLE 23 28 41 51 APPLE 35 60 62 126 APPLE 42 57 77 126 APPLE 21 28 48 63 APPLE 1 1 1 1 APPLE 13 14 20 26 APPLE 15 12 26 30 APPLE 4 8 10 17 APPLE 4 5 10 11 APPLE 6 5 9 9 APPLE 2 2 2 2 APPLE 3 4 7 7 APPLE 8 10 15 20 APPLE 19 41 39 83 APPLE 18 28 31 54 APPLE 6 9 11 15 APPLE 1 1 4 4 APPLE 3 2 4 4 APPLE 2 4 8 APPLE 2 3 3 4 12 APPLE 1 1 1 1 APPLE 1 2 2 APPLE 1 1 3 5 11 APPLE 2 8 7 25 APPLE 1 3 5 12 APPLE 1 1 1 1 APPLE 8 8 12 21 APPLE 33 52 74 119 APPLE 36 58 89 149 APPLE 34 47 89 135 APPLE 1 1 5 5 APPLE 1 1 5 5 APPLE 1 1 2 2 APPLE 4 9 8 19 APPLE 5 6 9 11 APPLE 2 3 5 5 APPLE 2 2 3 3 APPLE 1 1 3 3 APPLE 1 1 3 3 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page72 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee APPLE 2 2 4 4 APPLE 1 1 2 2 APPLE 2 1 2 2 APPLE 7 8 11 11 APPLE 31 51 54 124 APPLE 27 61 61 133 APPLE 18 24 40 56 APPLE 2 2 2 2 APPLE 1 1 3 3 APPLE 16 21 29 38 APPLE 42 81 93 166 APPLE 25 34 44 55 APPLE 1 1 1 1 APPLE 3 8 6 12 APPLE 7 32 15 58 APPLE 10 18 18 34 APPLE 1 1 3 3 APPLE 1 1 3 3 APPLE 1 1 1 1 APPLE 3 2 5 5 APPLE 4 2 5 5 APPLE 19 24 33 46 APPLE 21 27 41 58 APPLE 29 44 53 97 APPLE 15 19 35 45 APPLE 1 2 3 4 APPLE 2 2 3 3 APPLE 8 9 14 15 APPLE 9 12 15 20 APPLE 4 8 10 21 APPLE 2 3 6 APPLE 6 2 5 8 10 APPLE 10 13 20 38 APPLE 13 30 26 76 APPLE 6 11 9 18 APPLE 1 1 2 2 APPLE 1 1 2 2 APPLE 2 1 3 3 APPLE 2 3 4 5 APPLE 2 4 5 9 APPLE 2 2 4 4 APPLE 2 5 4 7 APPLE 4 11 9 27 APPLE 1 1 2 2 APPLE 1 3 2 6 APPLE 2 4 6 11 APPLE 1 3 3 5 APPLE 1 6 5 13 APPLE 1 10 5 26 APPLE 1 4 5 14 APPLE 4 3 6 6 APPLE 15 25 30 40 APPLE 35 86 65 143 APPLE 42 87 86 161 APPLE 26 40 41 60 APPLE 3 3 4 4 APPLE 4 9 9 17 APPLE 9 17 17 30 APPLE 11 15 21 32 APPLE 7 12 17 26 APPLE 2 2 4 4 APPLE 5 4 13 13 APPLE 2 1 3 3 APPLE 1 1 1 1 APPLE 6 4 9 11 APPLE 2 1 4 4 APPLE 3 2 4 4 APPLE 3 8 3 10 APPLE 14 12 25 28 APPLE 23 36 49 81 APPLE 4 6 7 12 APPLE 5 4 7 7 APPLE 5 3 6 6 APPLE 15 17 21 36 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page73 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee APPLE 6 6 9 11 APPLE 2 2 2 2 APPLE 5 2 5 5 APPLE 15 17 27 43 APPLE 28 51 49 97 APPLE 9 7 15 22 APPLE 2 2 2 APPLE 2 2 3 2 4 APPLE 9 9 12 14 APPLE 7 12 2 8 1 10 APPLE 2 2 APPLE 1 1 1 1 APPLE 2 2 2 2 APPLE 4 4 5 7 APPLE 5 4 7 7 APPLE 1 1 3 3 APPLE 1 1 1 1 APPLE 2 2 10 10 APPLE 4 8 9 16 APPLE 8 16 20 41 APPLE 10 14 22 35 APPLE 2 2 4 4 APPLE 3 4 6 7 APPLE 1 2 5 10 APPLE 1 1 1 1 APPLE 3 5 5 7 APPLE 2 4 4 7 APPLE 1 1 1 1 APPLE 8 7 10 10 APPLE 10 10 15 19 APPLE 12 12 17 18 APPLE 8 6 11 13 APPLE 5 5 5 5 APPLE 16 17 22 22 APPLE 62 91 101 135 APPLE 132 239 279 529 APPLE 141 325 320 809 APPLE 90 113 186 286 APPLE 14 9 34 36 APPLE 12 9 20 21 APPLE 29 34 50 63 APPLE 57 83 118 199 APPLE 64 115 148 309 APPLE 41 64 94 176 APPLE 3 8 10 17 APPLE 1 1 1 1 APPLE 1 1 1 1 APPLE 1 1 1 1 APPLE 21 30 37 42 APPLE 86 242 228 572 APPLE 106 314 280 761 APPLE 79 130 182 317 APPLE 11 16 19 27 APPLE 1 2 4 APPLE 2 2 6 2 11 APPLE 1 3 1 3 APPLE 1 1 2 APPLE 10 2 6 11 15 APPLE 5 4 6 6 APPLE 14 13 21 30 APPLE 2 1 3 3 APPLE 2 2 2 2 APPLE 1 1 2 2 APPLE 3 6 6 10 APPLE 6 14 26 42 APPLE 7 20 26 73 APPLE 2 1 4 4 APPLE 3 3 3 3 APPLE 60 76 77 87 APPLE 192 409 389 729 APPLE 272 694 684 1,643 APPLE 243 575 582 1,500 APPLE 120 140 271 391 APPLE 22 19 38 39 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page74 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee APPLE 47 69 82 113 APPLE 75 165 205 365 APPLE 54 106 153 275 APPLE 22 28 50 61 APPLE 1 1 2 2 APPLE 5 7 10 11 APPLE 21 32 47 78 APPLE 30 36 49 58 APPLE 47 64 91 141 APPLE 42 65 99 177 APPLE 6 8 19 24 APPLE 22 34 46 85 APPLE 5 4 7 7 APPLE 20 23 35 50 APPLE 20 22 32 45 APPLE 10 18 26 43 APPLE 3 2 6 APPLE 38 63 86 163 APPLE 36 47 79 130 APPLE 17 13 33 33 APPLE 3 2 3 3 APPLE 1 1 1 1 APPLE 4 2 6 6 APPLE 9 13 20 35 APPLE 10 16 27 35 APPLE 9 14 24 35 APPLE 3 2 7 7 APPLE 1 1 4 4 APPLE 3 3 7 APPLE 33 97 87 272 6 8 14 7 4 9 9 APPLE 11 13 APPLE 12 28 31 95 APPLE 2 4 4 APPLE 1 1 1 1 1 APPLE 1 1 1 1 APPLE 4 2 6 6 APPLE 10 10 16 21 APPLE 17 24 43 55 APPLE 13 41 35 96 APPLE 6 11 10 18 APPLE 1 1 1 1 APPLE 1 1 4 4 APPLE 8 14 21 29 APPLE 4 7 8 22 APPLE 2 1 5 5 APPLE 3 1 4 4 APPLE 4 6 5 7 APPLE 8 7 19 19 APPLE 1 1 4 4 APPLE 2 4 3 5 APPLE 10 16 18 35 APPLE 14 27 36 66 APPLE 12 34 42 100 APPLE 7 14 24 52 APPLE 1 1 1 1 APPLE 4 13 13 APPLE 9 4 7 18 20 APPLE 2 2 5 5 APPLE 1 1 5 5 APPLE 2 2 5 5 APPLE 1 1 5 5 APPLE 1 1 1 1 APPLE 1 1 3 3 APPLE 1 3 5 13 APPLE 3 2 5 5 APPLE 3 3 4 4 APPLE 7 12 21 28 APPLE 5 10 12 22 APPLE 1 2 2 4 APPLE 6 4 8 8 APPLE 5 3 10 10 APPLE 2 1 4 4 APPLE 1 1 5 5 APPLE 3 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page75 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee APPLE 6 5 10 13 APPLE 15 17 26 38 APPLE 8 11 13 18 APPLE 2 4 4 APPLE 3 2 2 APPLE 25 80 39 152 APPLE 29 59 56 114 APPLE 18 35 26 55 APPLE 2 4 2 4 APPLE 1 2 2 APPLE 2 1 2 3 3 APPLE 3 6 4 7 APPLE 8 15 18 34 APPLE 2 1 3 3 APPLE 2 1 4 4 APPLE 7 10 9 12 APPLE 12 11 15 19 APPLE 7 4 12 12 APPLE 2 5 5 8 APPLE 18 36 36 65 APPLE 36 47 62 93 APPLE 15 25 25 33 APPLE 8 6 14 16 APPLE 4 4 5 5 APPLE 12 22 23 44 APPLE 31 43 57 87 APPLE 29 38 59 84 APPLE 6 8 9 12 APPLE 1 1 1 1 APPLE 2 2 2 2 APPLE 1 1 2 2 APPLE 8 19 15 47 APPLE 4 6 8 14 APPLE 2 3 8 9 GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE 3 3 Years Case5 11cv 02509LHK Document442 Filed06 22 13 Page76 Manager and Employee Counts by Employers and Technical Employer GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee Years Case5 11cv 02509LHK Document442 Filed06 22 13 Page77 Manager and Employee Counts by Employers and Technical Employer GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee Years Case5 11cv 02509LHK Document442 Filed06 22 13 Page78 Manager and Employee Counts by Employers and Technical Employer GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee Years Case5 11cv 02509LHK Document442 Filed06 22 13 Page79 Manager and Employee Counts by Employers and Technical Employer GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page80 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE GOOGLE INTEL 8 6 12 INTEL 1 1 1 1 INTEL 25 32 51 66 INTEL 107 173 216 382 INTEL 132 211 270 518 INTEL 175 311 360 755 INTEL 150 279 332 689 INTEL 119 157 247 442 INTEL 54 58 91 117 INTEL 172 206 270 423 INTEL 222 389 446 954 INTEL 203 331 409 885 INTEL 86 111 178 268 INTEL 16 10 20 20 INTEL 1 1 1 1 INTEL 2 2 2 2 INTEL 8 7 11 13 INTEL 15 21 22 41 INTEL 17 27 26 42 INTEL 16 16 26 31 INTEL 4 3 5 6 INTEL 5 7 5 7 INTEL 7 10 7 10 INTEL 11 21 11 21 INTEL 9 18 9 18 INTEL 3 4 3 4 INTEL 2 2 2 2 13 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page81 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTEL 3 6 3 6 INTEL 3 3 3 3 INTEL 1 1 1 1 INTEL 1 1 1 INTEL 5 1 4 5 5 INTEL 4 4 4 4 INTEL 2 2 2 INTEL 1 2 1 INTEL 55 124 103 251 INTEL 72 207 173 475 INTEL 79 210 182 526 INTEL 72 118 153 285 INTEL 29 32 54 71 INTEL 9 7 14 16 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 12 12 19 24 INTEL 20 30 34 58 INTEL 33 64 63 141 INTEL 44 106 96 287 INTEL 29 55 70 141 INTEL 14 14 32 39 INTEL 3 4 3 4 INTEL 3 5 3 5 INTEL 2 2 2 2 INTEL 5 6 5 6 INTEL 4 6 4 6 INTEL 4 7 4 7 INTEL 3 3 4 4 INTEL 20 15 29 30 INTEL 81 106 121 188 INTEL 117 140 182 266 INTEL 139 219 235 411 INTEL 108 134 169 240 INTEL 49 54 79 97 INTEL 5 2 5 5 INTEL 2 2 2 2 INTEL 3 3 3 3 INTEL 5 6 6 14 INTEL 3 4 4 5 INTEL 2 2 2 2 INTEL 3 3 3 3 INTEL 3 3 3 3 INTEL 8 19 8 19 INTEL 13 24 13 24 INTEL 16 30 16 30 INTEL 19 31 19 31 INTEL 7 8 7 8 INTEL 48 46 69 75 INTEL 1 1 1 1 INTEL 1 1 2 INTEL 287 376 502 681 INTEL 805 1,610 1,695 3,688 INTEL 969 1,864 2,142 4,438 2,258 2,557 5,983 INTEL 1,074 1 1 2 INTEL 918 1,711 2,228 4,597 INTEL 604 945 1,451 2,782 INTEL 4 9 9 INTEL 2 2 5 5 INTEL 19 23 28 38 INTEL 32 51 57 106 INTEL 59 89 106 234 INTEL 65 149 145 428 INTEL 45 88 103 230 INTEL 23 35 46 98 INTEL 3 5 5 14 INTEL 5 5 6 6 INTEL 12 21 16 32 INTEL 20 32 27 57 INTEL 21 48 33 107 INTEL 4 6 7 12 INTEL 3 7 5 11 INTEL 5 4 6 6 INTEL 7 11 10 23 26 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page82 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 2 2 3 3 INTEL 2 2 2 INTEL 7 2 8 11 12 INTEL 14 12 18 23 INTEL 47 51 76 114 INTEL 69 76 120 199 INTEL 24 19 45 61 INTEL 22 18 31 38 INTEL 21 24 26 46 INTEL 33 36 50 78 INTEL 34 43 56 102 INTEL 8 9 15 16 INTEL 2 2 2 2 INTEL 3 5 4 6 INTEL 4 5 4 5 INTEL 4 5 5 6 INTEL 2 2 2 2 INTEL 8 9 8 9 INTEL 12 18 12 18 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 3 2 7 8 INTEL 1 2 1 2 INTEL 3 5 4 10 INTEL 4 10 5 14 INTEL 6 7 9 15 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 10 13 16 INTEL 8 7 8 10 16 INTEL 3 3 3 3 INTEL 18 18 25 28 INTEL 34 39 42 48 INTEL 31 30 41 43 INTEL 41 41 63 72 INTEL 39 34 58 65 INTEL 20 18 33 38 INTEL 1 2 1 2 INTEL 3 3 4 4 INTEL 16 24 29 47 INTEL 1 1 INTEL 433 653 1,007 1,835 INTEL 149 237 388 712 INTEL 42 48 91 141 INTEL 8 8 21 25 INTEL 2 2 2 2 INTEL 11 13 17 22 110 1 1 INTEL 67 70 88 INTEL 338 506 602 965 INTEL 627 988 1,285 2,201 INTEL 729 1,140 1,594 2,801 INTEL 1 INTEL 1 1 1 1 INTEL 73 156 187 457 INTEL 24 47 78 143 INTEL 6 23 21 77 INTEL 1 1 2 2 INTEL 17 21 28 32 INTEL 79 114 156 210 INTEL 172 297 372 611 INTEL 151 305 355 780 INTEL 1 1 2 INTEL 2 2 6 6 INTEL 2 2 6 10 1 1 1 2 INTEL 1 1 1 1 INTEL 18 15 26 28 INTEL 3 2 6 6 INTEL 2 1 2 2 INTEL 4 4 4 INTEL 51 54 70 116 INTEL 85 121 141 303 INTEL 60 83 113 200 6 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page83 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTEL 6 4 8 8 INTEL 19 23 24 35 INTEL 20 19 26 31 INTEL 14 18 17 21 INTEL 10 11 11 13 INTEL 15 15 24 28 INTEL 33 41 72 102 INTEL 37 36 69 95 INTEL 37 50 75 130 INTEL 15 22 37 64 INTEL 3 3 7 7 INTEL 2 2 2 2 INTEL 7 12 7 12 INTEL 6 7 6 7 INTEL 15 21 15 21 INTEL 8 9 8 9 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 5 5 8 8 INTEL 14 17 22 29 INTEL 28 49 58 110 INTEL 37 88 87 253 INTEL 21 22 44 62 INTEL 1 1 2 2 INTEL 1 1 1 1 INTEL 2 3 2 4 INTEL 6 18 12 38 INTEL 7 22 15 46 INTEL 7 9 14 22 INTEL 1 3 3 INTEL 1 1 1 1 1 INTEL 2 2 2 2 INTEL 2 2 2 2 INTEL 26 34 44 73 INTEL 2 2 2 2 INTEL 2 2 3 3 INTEL 1 1 1 1 INTEL 4 4 6 7 INTEL 4 5 7 9 INTEL 6 3 7 7 INTEL 1 1 2 2 INTEL 4 4 5 5 INTEL 12 15 17 21 INTEL 23 24 35 45 INTEL 23 26 33 44 INTEL 20 36 34 68 INTEL 9 20 17 38 INTEL 3 3 3 3 INTEL 4 6 4 6 INTEL 3 4 3 4 INTEL 3 4 5 11 INTEL 21 21 30 39 INTEL 36 66 58 115 INTEL 46 82 74 150 INTEL 53 113 94 221 INTEL 43 67 75 142 INTEL 27 41 41 79 INTEL 1 1 1 1 INTEL 6 9 6 9 INTEL 5 7 5 7 INTEL 2 3 2 3 INTEL 13 17 20 26 INTEL 2 3 3 INTEL 101 117 165 218 INTEL 193 279 362 578 INTEL 240 333 445 724 INTEL 274 374 521 888 INTEL 220 273 429 661 INTEL 125 135 232 339 INTEL 4 3 4 4 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 1 1 1 1 4 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page84 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee 1 1 1 12 8 14 16 23 22 31 57 INTEL 27 37 45 78 INTEL 17 19 29 47 INTEL 9 7 13 15 INTEL 5 7 10 INTEL 9 4 7 13 17 INTEL 10 7 13 15 INTEL 6 5 10 10 INTEL 1 1 4 INTEL 56 72 95 143 INTEL 113 185 204 395 INTEL 119 166 220 393 INTEL 92 115 170 260 INTEL 29 28 56 62 INTEL 5 4 8 8 INTEL 2 3 4 4 INTEL 4 4 5 5 INTEL 16 23 23 34 INTEL 27 29 42 66 INTEL 28 18 43 45 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 3 3 3 3 INTEL 5 8 6 8 INTEL 4 8 4 8 INTEL 4 4 4 4 INTEL 4 5 6 7 INTEL 22 24 23 28 INTEL 53 70 59 93 INTEL 46 57 50 71 INTEL 20 26 24 35 INTEL 1 1 1 1 INTEL 9 10 13 21 INTEL 1 INTEL INTEL 4 INTEL 1 1 1 1 INTEL 43 47 47 64 INTEL 102 126 115 164 INTEL 143 214 165 300 INTEL 113 180 129 241 INTEL 36 41 41 53 INTEL 4 4 4 INTEL 87 136 183 354 INTEL 28 46 57 130 INTEL 8 13 14 37 INTEL 3 3 5 5 INTEL 2 4 2 4 INTEL 9 11 12 16 4 INTEL 28 37 40 54 INTEL 145 222 246 375 INTEL 242 396 451 819 INTEL 196 318 395 794 INTEL 56 58 131 195 INTEL 2 3 2 3 INTEL 8 13 8 13 INTEL 3 7 3 7 INTEL 4 4 4 INTEL 2 4 3 2 3 INTEL 3 7 3 7 INTEL 2 2 2 2 INTEL 1 1 1 1 INTEL 1 1 2 INTEL 49 119 83 232 INTEL 86 152 153 352 INTEL 81 122 150 305 INTEL 36 49 71 118 INTEL 14 11 26 33 INTEL 1 1 1 1 INTEL 3 4 3 4 INTEL 22 36 22 36 INTEL 32 73 32 73 INTEL 28 50 28 50 INTEL 12 14 13 15 INTEL 6 7 6 7 2 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page85 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTEL 2 3 2 3 INTEL 6 6 6 6 INTEL 3 3 3 3 INTEL 39 39 63 79 INTEL 47 71 96 140 INTEL 66 101 132 255 INTEL 58 55 108 145 INTEL 18 16 30 32 INTEL 5 4 10 10 INTEL 1 1 3 3 INTEL 5 6 5 7 INTEL 5 7 9 11 INTEL 3 1 4 4 INTEL 2 2 3 3 INTEL 1 1 1 1 INTEL 8 9 13 16 INTEL 10 8 17 20 INTEL 1 1 1 1 INTEL 2 1 2 2 INTEL 35 31 59 72 INTEL 16 17 27 37 INTEL 3 3 5 6 INTEL 1 1 1 1 INTEL 2 1 2 2 INTEL 4 3 4 4 INTEL 17 14 18 22 INTEL 31 32 36 52 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 2 2 2 2 INTEL 1 1 INTEL 1 2 1 INTEL 45 50 84 INTEL 111 170 216 417 INTEL 175 312 395 1,020 INTEL 227 385 514 1,497 INTEL 1 1 1 1 INTEL 7 8 14 15 INTEL 8 13 17 22 INTEL 14 32 37 80 INTEL 14 24 30 58 INTEL 5 5 8 10 INTEL 24 24 37 48 INTEL 48 47 69 88 INTEL 77 98 133 224 INTEL 95 104 165 263 INTEL 52 51 89 117 INTEL 18 15 28 30 INTEL 6 4 6 6 INTEL 17 21 33 42 INTEL 22 29 53 65 INTEL 28 42 58 113 INTEL 33 41 66 112 INTEL 4 10 12 INTEL 1 5 1 1 1 INTEL 43 58 54 86 INTEL 100 272 135 464 INTEL 169 391 251 731 INTEL 97 117 150 258 INTEL 91 136 154 253 INTEL 159 329 296 679 INTEL 172 353 327 879 INTEL 90 91 160 234 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 4 8 11 18 INTEL 10 18 22 34 INTEL 11 19 19 44 INTEL 23 27 39 62 INTEL 16 17 28 39 INTEL 11 10 17 26 INTEL 3 3 3 3 INTEL 1 1 3 3 2 2 2 128 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page86 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTEL 25 30 47 67 INTEL 49 107 109 255 INTEL 73 148 149 349 INTEL 90 159 168 363 INTEL 56 86 101 180 INTEL 26 33 47 69 INTEL 19 24 29 52 INTEL 42 61 75 155 INTEL 62 87 117 252 INTEL 45 78 106 225 INTEL 20 36 47 118 INTEL 6 8 16 20 INTEL 1 1 2 2 INTEL 1 1 1 1 INTEL 2 8 4 11 INTEL 4 5 5 9 INTEL 10 19 20 47 INTEL 5 7 12 16 INTEL 4 4 7 9 INTEL 5 5 8 8 INTEL 5 4 6 7 INTEL 6 6 6 6 INTEL 8 8 11 12 INTEL 9 9 11 12 INTEL 14 14 17 21 INTEL 8 7 12 12 INTEL 1 1 1 1 INTEL 16 14 22 22 INTEL 5 6 7 9 INTEL 11 11 15 18 INTEL 7 8 10 14 INTEL 11 15 19 28 INTEL 3 3 7 7 INTEL 2 3 3 INTEL 1 2 1 1 1 INTEL 21 26 38 50 INTEL 63 95 108 187 INTEL 60 80 119 178 INTEL 114 259 253 697 INTEL 72 108 149 233 INTEL 20 21 43 52 INTEL 25 23 36 40 INTEL 40 55 60 96 INTEL 50 77 89 168 INTEL 64 90 120 199 INTEL 32 47 53 98 INTEL 23 19 39 46 INTEL 18 17 32 34 INTEL 3 4 6 6 INTEL 1 1 1 1 INTEL 6 6 7 9 INTEL 16 15 25 31 INTEL 38 45 57 83 INTEL 70 91 120 204 INTEL 2 2 2 2 INTEL 3 2 6 7 INTEL 2 3 3 INTEL 1 2 1 1 1 INTEL 1 2 1 2 INTEL 2 4 5 9 INTEL 4 3 6 6 INTEL 4 2 4 4 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 4 2 4 4 INTEL 3 2 3 3 INTEL 1 1 1 1 INTEL 2 2 2 2 INTEL 4 7 5 9 INTEL 8 5 9 12 INTEL 5 3 7 8 INTEL 1 1 1 1 INTEL 2 1 2 2 INTEL 2 2 2 2 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page87 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTEL 6 5 INTEL 697 816 1,703 2,789 INTEL 206 212 509 715 INTEL 1 1 1 INTEL 4 1 2 4 4 INTEL 2 2 2 2 INTEL 1 2 2 INTEL 1 1 2 INTEL 255 362 452 682 INTEL 395 826 834 1,794 INTEL 403 725 830 1,669 INTEL 419 656 860 1,585 INTEL 249 277 415 592 INTEL 78 83 143 186 INTEL 2 2 3 3 INTEL 12 20 17 30 INTEL 19 22 24 37 INTEL 16 24 21 40 INTEL 10 12 15 19 INTEL 5 4 5 5 INTEL 6 6 7 INTEL 80 86 128 169 INTEL 221 293 421 678 INTEL 272 332 503 768 INTEL 438 1,215 993 2,815 INTEL 275 466 595 1,068 INTEL 97 121 191 278 INTEL 9 7 13 13 INTEL 141 186 246 364 INTEL 265 508 536 1,185 INTEL 254 461 552 1,088 INTEL 269 438 583 1,122 INTEL 199 259 426 693 INTEL 76 90 163 238 INTEL 4 4 8 INTEL 1 1 1 1 INTEL 23 36 37 58 INTEL 43 63 73 123 INTEL 42 58 77 114 INTEL 40 46 74 96 INTEL 47 44 63 86 INTEL 20 13 27 27 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 4 4 4 4 INTEL 6 8 6 8 INTEL 1 1 1 INTEL 49 55 82 126 INTEL 25 26 51 60 INTEL 6 5 11 11 INTEL 8 9 11 14 INTEL 26 23 31 35 INTEL 62 79 99 151 INTEL 2 4 3 5 2 INTEL 4 5 INTEL 22 33 22 33 INTEL 24 34 24 34 INTEL 9 12 9 12 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 2 2 3 3 INTEL 3 2 4 4 INTEL 5 4 6 7 INTEL 24 38 39 69 INTEL 35 42 50 74 INTEL 17 25 26 43 INTEL 31 23 48 52 INTEL 181 186 337 422 INTEL 18 21 42 63 INTEL 1 1 1 1 INTEL 2 2 2 2 INTEL 34 30 46 54 INTEL 139 141 212 253 INTEL 349 394 568 821 9 1 11 2 7 8 1 3 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page88 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTEL 662 832 1,110 1,825 INTEL 734 913 1,334 2,150 INTEL 510 548 972 1,360 INTEL 1 2 2 INTEL 2 1 2 2 2 INTEL 4 4 4 INTEL 69 260 128 490 INTEL 66 108 117 211 INTEL 24 48 44 95 INTEL 11 10 17 17 INTEL 31 30 56 61 INTEL 49 43 75 89 INTEL 74 71 115 147 INTEL 48 42 72 97 INTEL 10 8 11 11 INTEL 1 1 2 2 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 3 2 4 4 INTEL 3 3 5 5 INTEL 3 3 4 4 INTEL 8 8 8 8 INTEL 15 18 15 18 INTEL 21 32 21 32 INTEL 28 51 28 51 INTEL 20 29 20 29 INTEL 2 2 2 2 INTEL 3 3 3 3 INTEL 1 2 1 2 INTEL 13 16 22 30 INTEL 45 54 74 105 INTEL 66 70 109 151 INTEL 81 140 162 314 INTEL 78 112 154 270 INTEL 21 24 53 61 INTEL 21 20 32 35 INTEL 7 4 7 7 INTEL 2 2 2 2 INTEL 4 3 5 5 INTEL 8 6 11 11 INTEL 124 204 250 478 INTEL 126 196 271 478 INTEL 1 1 1 INTEL 135 189 315 INTEL 1 1 1 INTEL 2 2 2 2 INTEL 6 30 14 71 INTEL 5 14 14 32 INTEL 4 7 9 20 INTEL 2 1 3 4 INTEL 6 2 7 7 INTEL 3 3 6 6 INTEL 15 13 22 27 INTEL 14 19 21 47 INTEL 10 12 21 33 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 5 85 14 91 INTEL 11 69 21 79 INTEL 2 2 2 2 INTEL 9 14 17 23 INTEL 11 9 17 17 INTEL 25 37 43 72 INTEL 34 59 66 157 INTEL 42 65 81 168 INTEL 26 36 49 90 INTEL 5 7 11 16 INTEL 12 11 31 43 INTEL 38 29 51 55 INTEL 5 4 6 INTEL 282 296 431 562 INTEL 606 959 1,130 2,027 INTEL 832 1,322 1,597 3,069 INTEL 945 1,636 1,954 4,103 4 1 540 1 9 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page89 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTEL 784 1,144 1,634 3,032 INTEL 398 520 865 1,412 INTEL 17 18 24 34 INTEL 43 59 67 140 INTEL 37 60 64 139 INTEL 39 38 70 94 INTEL 17 13 24 33 INTEL 7 5 8 9 INTEL 11 16 19 40 INTEL 12 15 20 31 INTEL 5 8 12 14 INTEL 1 1 2 2 INTEL 2 2 3 3 INTEL 21 24 37 44 INTEL 5 5 9 9 INTEL 1 1 2 2 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 3 3 3 3 INTEL 27 35 37 58 INTEL 46 75 89 148 INTEL 68 100 114 207 INTEL 18 17 23 33 INTEL 6 4 8 8 INTEL 1 1 2 2 INTEL 6 5 9 9 INTEL 17 21 27 38 INTEL 1 2 1 2 INTEL 14 12 20 21 INTEL 28 31 39 74 INTEL 22 40 37 75 INTEL 22 34 37 75 INTEL 7 8 11 21 INTEL 3 2 3 INTEL 58 68 89 125 INTEL 154 194 260 412 1 INTEL 3 1 INTEL 187 337 335 758 INTEL 200 335 345 799 INTEL 87 94 143 208 INTEL 8 7 9 10 INTEL 11 10 14 19 INTEL 40 45 65 81 INTEL 83 99 132 191 INTEL 112 137 179 287 INTEL 143 176 240 351 INTEL 134 160 237 354 INTEL 92 107 164 244 INTEL 2 4 5 INTEL 51 70 77 117 INTEL 107 173 219 386 INTEL 140 320 300 821 INTEL 137 282 313 777 INTEL 83 106 184 283 INTEL 17 20 33 50 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 28 32 40 55 INTEL 49 81 82 159 INTEL 57 88 99 183 INTEL 65 78 98 158 INTEL 38 40 61 85 INTEL 8 10 12 20 INTEL 3 4 3 4 INTEL 12 15 12 15 INTEL 9 13 9 13 INTEL 30 46 30 46 INTEL 17 22 17 22 INTEL 7 8 7 8 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 2 2 2 2 INTEL 1 1 1 1 INTEL 1 1 1 1 9 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page90 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees 1 Manager 2 Years Employee INTEL 2 2 INTEL 2 3 2 4 INTEL 9 13 21 33 INTEL 9 15 20 40 INTEL 1 1 2 2 INTEL 4 4 6 6 INTEL 2 3 3 INTEL 10 2 9 12 13 INTEL 18 16 28 29 INTEL 1 1 2 2 INTEL 5 3 7 7 INTEL 19 30 43 70 INTEL 12 15 21 32 INTEL 9 6 11 11 INTEL 2 1 2 2 INTEL 41 35 54 65 INTEL 126 154 194 281 INTEL 229 336 408 754 INTEL 282 404 515 1,015 INTEL 219 269 398 648 INTEL 97 90 170 221 INTEL 32 26 56 62 INTEL 5 5 11 11 INTEL 3 4 3 4 INTEL 24 26 31 38 INTEL 55 85 107 182 INTEL 57 63 101 142 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 2 2 2 2 INTEL 1 2 2 INTEL 2 1 1 2 2 INTEL 2 2 2 2 INTEL 4 5 7 INTEL 5 4 4 6 7 INTEL 6 6 10 13 INTEL 13 22 24 39 INTEL 18 34 40 89 INTEL 18 34 41 78 INTEL 4 5 8 12 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 2 1 2 2 INTEL 7 5 10 10 INTEL 9 8 11 13 INTEL 5 12 9 22 INTEL 2 2 2 2 INTEL 2 3 2 3 INTEL 4 5 4 5 INTEL 2 2 2 2 INTEL 1 1 1 1 INTEL 22 15 27 33 INTEL 6 5 8 14 INTEL 6 8 8 10 INTEL 25 26 38 47 INTEL 60 65 84 140 INTEL 45 52 66 122 INTEL 18 17 32 40 INTEL 1 1 1 1 INTEL 5 6 5 6 INTEL 14 22 14 22 INTEL 11 21 11 21 INTEL 5 4 8 8 INTEL 6 6 13 15 INTEL 3 3 7 10 INTEL 1 1 3 3 INTEL 31 38 51 61 INTEL 62 76 107 157 INTEL 65 78 117 165 INTEL 56 61 97 132 INTEL 17 19 30 36 INTEL 4 4 8 11 INTEL 1 1 1 1 INTEL 16 15 26 34 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page91 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers INTEL 50 INTEL INTEL of 106 Titles 2009 Employees Manager Years Employee 58 87 129 68 84 121 174 57 152 137 362 INTEL 44 70 95 168 INTEL 16 24 34 65 INTEL 1 1 1 1 INTEL 6 6 8 10 INTEL 15 16 16 24 INTEL 17 16 18 23 INTEL 14 16 18 22 INTEL 2 2 2 2 INTEL 3 2 3 3 INTEL 1 1 1 1 INTEL 3 3 3 3 INTEL 17 13 19 21 INTEL 17 15 18 19 INTEL 27 21 34 39 INTEL 12 11 20 21 INTEL 1 1 1 1 INTEL 1 1 1 1 INTEL 31 27 42 50 INTEL 50 80 101 160 INTEL 1 1 1 INTEL 58 103 108 203 INTEL 76 129 150 310 INTEL 51 71 106 181 INTEL 20 22 35 56 INTEL 1 1 1 1 INTEL 1 1 1 1 11 19 19 32 INTUIT 1 INTUIT 23 34 35 66 INTUIT 109 116 182 296 INTUIT 57 61 78 98 INTUIT 28 22 48 49 INTUIT 1 1 1 1 INTUIT 2 2 6 INTUIT 19 51 43 INTUIT 4 4 4 5 INTUIT 7 7 10 12 6 117 INTUIT 1 1 1 1 INTUIT 16 21 24 43 INTUIT 23 28 41 62 INTUIT 1 1 2 2 INTUIT 6 5 7 9 INTUIT 5 7 7 11 INTUIT 10 8 14 14 INTUIT 3 2 3 3 INTUIT 1 1 1 1 INTUIT 1 1 1 1 INTUIT 2 1 4 4 INTUIT 24 42 37 74 INTUIT 4 4 4 4 INTUIT 10 7 16 18 INTUIT 2 3 2 3 INTUIT 20 37 28 59 INTUIT 2 5 2 7 INTUIT 42 46 63 78 INTUIT 1 1 1 1 INTUIT 38 54 58 90 INTUIT 3 3 4 4 INTUIT 2 2 3 3 INTUIT 2 1 2 2 INTUIT 3 2 4 4 INTUIT 2 1 3 3 INTUIT 1 1 2 2 INTUIT 5 6 7 10 INTUIT 1 1 1 1 INTUIT 1 1 2 2 INTUIT 1 2 2 2 INTUIT 3 4 3 6 INTUIT 1 1 1 1 INTUIT 1 1 1 1 INTUIT 5 3 5 5 INTUIT 3 2 3 3 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page92 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee INTUIT 1 1 1 1 INTUIT 1 1 1 1 INTUIT 1 1 1 1 INTUIT 1 1 1 INTUIT 1 1 1 1 1 INTUIT 1 1 1 1 INTUIT 1 1 1 INTUIT 2 1 3 2 5 INTUIT 4 3 4 4 INTUIT 1 1 1 INTUIT 68 72 115 1 150 INTUIT 2 1 2 2 INTUIT 1 1 1 1 INTUIT 2 1 4 4 INTUIT 2 2 2 2 INTUIT 1 1 1 1 INTUIT 1 1 1 1 INTUIT 2 1 2 2 INTUIT 11 20 17 31 INTUIT 1 1 1 1 INTUIT 6 3 6 7 INTUIT 7 7 8 9 INTUIT 3 5 3 5 INTUIT 7 8 7 8 INTUIT 5 6 6 9 INTUIT 18 29 20 32 1 INTUIT 1 1 1 INTUIT 4 5 4 5 INTUIT 42 48 49 62 INTUIT 9 10 9 10 INTUIT 14 16 16 19 INTUIT 1 1 1 1 INTUIT 3 2 3 3 INTUIT 6 8 8 INTUIT 3 3 3 INTUIT 82 113 116 4 4 193 INTUIT 3 4 3 4 INTUIT 12 16 19 32 INTUIT 58 72 93 144 INTUIT 1 1 1 INTUIT 59 83 78 107 INTUIT 12 17 12 17 INTUIT 34 33 43 54 INTUIT 2 2 2 2 INTUIT 24 25 24 28 1 INTUIT 5 5 5 6 INTUIT 3 2 4 4 INTUIT 5 7 6 7 INTUIT 1 1 1 1 INTUIT 4 2 4 INTUIT 63 90 91 4 165 INTUIT 2 2 3 3 INTUIT 8 8 10 11 INTUIT 57 81 71 110 INTUIT 9 12 12 15 INTUIT 4 2 5 5 INTUIT 41 51 59 87 INTUIT 3 4 6 9 INTUIT 4 3 4 4 INTUIT 4 7 4 7 INTUIT 2 4 3 4 INTUIT 2 4 4 5 INTUIT 6 6 7 8 INTUIT 1 1 1 1 INTUIT 3 2 3 3 INTUIT 1 3 1 3 INTUIT 4 1 4 4 INTUIT 1 1 1 1 INTUIT 3 3 3 3 INTUIT 4 4 5 5 INTUIT 7 7 7 7 INTUIT 2 1 3 3 INTUIT 26 26 31 33 INTUIT 5 5 5 5 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page93 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees INTUIT 5 3 INTUIT 12 INTUIT 9 INTUIT 4 INTUIT Manager Years Employee 6 7 15 12 15 7 18 19 4 4 8 4 6 10 10 INTUIT 2 1 2 2 INTUIT 1 1 1 INTUIT 2 1 2 2 2 INTUIT 11 15 13 18 INTUIT 110 132 163 232 INTUIT 2 2 2 2 INTUIT 2 2 2 2 INTUIT 1 1 2 2 INTUIT 1 2 1 2 INTUIT 5 9 9 16 INTUIT 2 3 4 6 INTUIT 1 1 1 1 INTUIT 26 26 34 48 INTUIT 1 1 1 1 INTUIT 1 1 1 1 INTUIT 1 1 1 1 INTUIT 1 1 1 1 INTUIT 2 2 2 2 INTUIT 3 1 3 3 INTUIT 2 2 4 4 INTUIT 2 5 4 8 INTUIT 1 2 3 INTUIT 235 392 396 699 INTUIT 98 176 98 178 INTUIT 9 9 11 14 INTUIT 11 13 INTUIT 3 9 4 INTUIT 86 132 140 3 5 14 4 251 INTUIT 1 1 2 1 2 1 INTUIT 2 2 INTUIT 5 2 6 6 INTUIT 2 2 2 2 INTUIT 17 52 17 52 INTUIT 15 14 23 28 INTUIT 11 29 26 59 INTUIT 30 34 46 66 INTUIT 9 11 13 18 INTUIT 1 1 1 1 INTUIT 26 32 34 48 INTUIT 18 23 21 30 INTUIT 1 4 2 4 INTUIT 3 5 3 5 INTUIT 9 13 10 19 INTUIT 1 1 1 1 INTUIT 35 40 53 81 INTUIT 2 2 2 2 INTUIT 4 3 4 4 INTUIT 1 1 1 1 INTUIT 2 2 2 2 INTUIT 24 36 24 38 14 INTUIT 3 5 6 INTUIT 1 1 1 INTUIT 113 151 187 299 1 INTUIT 8 16 11 21 INTUIT 34 40 51 99 INTUIT 2 1 2 2 INTUIT 8 10 10 17 INTUIT 340 792 696 1,878 INTUIT 91 176 159 346 INTUIT 34 58 34 58 INTUIT 54 105 54 105 INTUIT 18 31 25 53 INTUIT 59 125 114 219 INTUIT 48 70 75 156 INTUIT 34 33 43 66 INTUIT 23 12 31 33 INTUIT 3 2 4 4 INTUIT 1 1 1 1 INTUIT 6 6 8 11 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page94 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee 8 11 8 6 8 8 7 15 7 15 INTUIT 9 INTUIT INTUIT 12 INTUIT 4 6 8 16 INTUIT 20 24 31 44 INTUIT 10 7 13 13 INTUIT 2 2 2 INTUIT 6 2 4 6 7 INTUIT 13 12 19 27 INTUIT 6 12 11 21 INTUIT 245 380 466 922 INTUIT 41 45 62 82 INTUIT 17 22 17 22 INTUIT 35 58 63 127 INTUIT 5 6 9 12 INTUIT 18 15 20 30 INTUIT 8 8 9 10 INTUIT 1 1 2 2 INTUIT 2 2 2 2 INTUIT 3 2 3 3 INTUIT 2 1 2 2 INTUIT 4 5 5 6 INTUIT 2 2 2 3 INTUIT 5 6 5 7 INTUIT 44 74 44 74 10 INTUIT 7 7 8 INTUIT 2 1 2 INTUIT 42 81 66 117 2 INTUIT 10 9 21 26 INTUIT 3 6 4 10 INTUIT 6 7 8 INTUIT 3 6 3 4 4 INTUIT 3 2 3 3 INTUIT 1 2 2 INTUIT 5 1 7 7 9 INTUIT 6 6 10 12 INTUIT 5 7 6 13 INTUIT 2 3 2 3 INTUIT 1 1 1 1 INTUIT 3 4 4 6 INTUIT 1 1 1 1 INTUIT 8 12 10 18 INTUIT 4 5 6 7 INTUIT 6 7 6 7 INTUIT 7 7 11 12 INTUIT 36 39 50 69 INTUIT 1 1 1 1 INTUIT 2 1 2 2 INTUIT 1 1 1 1 INTUIT 17 19 18 24 INTUIT 18 13 26 27 INTUIT 9 11 11 15 INTUIT 7 6 11 13 INTUIT 1 1 1 INTUIT 2 1 7 3 10 INTUIT 9 8 13 15 INTUIT 4 4 7 INTUIT 5 7 5 6 6 INTUIT 11 13 13 24 2 INTUIT 1 1 2 INTUIT 3 2 3 3 INTUIT 24 32 36 53 INTUIT 40 46 62 81 INTUIT 3 3 5 5 INTUIT 1 1 1 1 INTUIT 5 5 5 6 INTUIT 1 1 1 1 INTUIT 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 5 6 10 10 LUCASFILM 6 7 12 14 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page95 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee LUCASFILM 4 7 5 7 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 7 11 14 19 LUCASFILM 15 32 37 67 LUCASFILM 4 4 8 LUCASFILM 1 8 1 2 2 LUCASFILM 7 7 13 13 LUCASFILM 3 8 1 3 1 8 LUCASFILM 3 3 LUCASFILM 2 3 2 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 18 26 36 45 LUCASFILM 2 2 3 3 LUCASFILM 6 7 6 7 LUCASFILM 1 1 2 2 LUCASFILM 2 2 4 4 LUCASFILM 2 2 3 3 LUCASFILM 1 1 1 1 LUCASFILM 2 3 5 5 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 2 2 LUCASFILM 2 3 4 6 LUCASFILM 2 2 3 3 LUCASFILM 1 3 LUCASFILM 1 1 1 2 2 LUCASFILM 2 8 4 15 LUCASFILM 3 7 2 4 2 7 LUCASFILM 4 4 1 LUCASFILM 3 1 LUCASFILM 1 1 1 1 LUCASFILM 4 5 6 8 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 4 4 LUCASFILM 1 1 1 1 LUCASFILM 5 10 8 16 LUCASFILM 1 1 2 2 LUCASFILM 4 8 10 15 LUCASFILM 1 1 1 1 LUCASFILM 3 3 7 7 LUCASFILM 1 2 3 4 LUCASFILM 1 1 3 3 LUCASFILM 1 2 2 4 LUCASFILM 1 1 2 2 LUCASFILM 2 2 5 5 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 LUCASFILM 4 2 4 10 10 LUCASFILM 1 2 2 3 LUCASFILM 1 1 1 LUCASFILM 1 1 3 2 3 LUCASFILM 1 1 2 2 LUCASFILM 5 7 9 10 LUCASFILM 12 15 24 28 LUCASFILM 2 2 4 4 LUCASFILM 1 2 4 4 LUCASFILM 2 2 3 3 LUCASFILM 5 5 6 6 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 1 4 4 LUCASFILM 1 1 2 2 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page96 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee LUCASFILM 1 3 3 4 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 2 2 LUCASFILM 1 1 1 2 2 LUCASFILM 2 2 5 5 LUCASFILM 1 2 2 LUCASFILM 4 1 4 5 5 LUCASFILM 1 1 1 1 LUCASFILM 2 2 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 4 4 LUCASFILM 1 1 3 3 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 1 1 4 4 LUCASFILM 3 8 8 17 LUCASFILM 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 4 4 LUCASFILM 1 1 3 3 LUCASFILM 3 3 5 5 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 4 4 LUCASFILM 1 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 LUCASFILM 1 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 2 2 4 4 LUCASFILM 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 4 4 LUCASFILM 3 3 7 7 LUCASFILM 3 4 5 7 LUCASFILM 2 2 2 2 LUCASFILM 3 7 7 15 LUCASFILM 2 2 2 2 LUCASFILM 2 2 3 3 LUCASFILM 1 1 3 3 LUCASFILM 3 3 3 3 LUCASFILM 3 5 6 9 LUCASFILM 2 2 6 6 LUCASFILM 1 1 1 LUCASFILM 1 1 1 1 1 LUCASFILM 3 3 7 7 LUCASFILM 1 1 1 LUCASFILM 1 1 2 2 4 LUCASFILM 1 3 3 5 LUCASFILM 1 1 1 LUCASFILM 1 1 1 2 2 LUCASFILM 4 6 13 14 LUCASFILM 2 2 2 2 LUCASFILM 1 1 1 1 LUCASFILM 3 4 6 6 LUCASFILM 1 1 3 3 LUCASFILM 1 1 2 2 LUCASFILM 1 1 4 4 LUCASFILM 2 2 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 2 4 4 8 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 Years Case5 11cv 02509LHK Filed06 22 13 Document442 Page97 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers of 106 Titles 2009 Employees Manager Years Employee LUCASFILM 2 2 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 LUCASFILM 2 1 5 5 13 LUCASFILM 1 5 3 12 LUCASFILM 1 1 1 LUCASFILM 2 1 2 4 4 LUCASFILM 1 1 3 3 LUCASFILM 2 2 6 6 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 4 4 7 7 LUCASFILM 1 1 2 2 LUCASFILM 5 5 7 7 LUCASFILM 2 2 3 3 LUCASFILM 1 3 3 9 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 2 2 LUCASFILM 6 7 11 11 LUCASFILM 2 4 4 7 LUCASFILM 3 3 5 5 LUCASFILM 1 1 1 1 LUCASFILM 1 2 3 4 LUCASFILM 2 3 3 4 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 LUCASFILM 1 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 LUCASFILM 1 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 2 3 5 6 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 2 2 2 LUCASFILM 1 1 2 2 LUCASFILM 2 2 2 2 LUCASFILM 2 2 3 3 LUCASFILM 1 1 4 4 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 2 2 LUCASFILM 1 1 1 4 4 LUCASFILM 1 1 3 3 LUCASFILM 1 3 3 LUCASFILM 1 1 1 2 2 LUCASFILM 2 2 7 7 LUCASFILM 1 2 2 LUCASFILM 1 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 3 6 12 18 LUCASFILM 15 23 31 46 LUCASFILM 1 3 2 4 LUCASFILM 3 3 7 7 LUCASFILM 1 1 1 1 LUCASFILM 6 8 14 17 LUCASFILM 1 1 2 2 LUCASFILM 2 2 3 3 LUCASFILM 9 10 9 10 LUCASFILM 11 23 21 38 LUCASFILM 1 1 1 1 LUCASFILM 5 5 13 13 Years Case511cv 02509LHK Filed062213 Document442 Page98 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers 106 of Titles 2009 Employees Manager Years Employee Years LUCASFILM 1 1 1 LUCASFILM 3 3 6 6 LUCASFILM 4 7 8 10 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 2 3 4 5 LUCASFILM 2 5 2 5 LUCASFILM 1 1 1 1 LUCASFILM 3 4 7 8 LUCASFILM 2 5 6 11 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 3 3 6 6 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 2 2 3 3 LUCASFILM 3 4 9 11 LUCASFILM 5 12 10 17 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 2 2 3 3 LUCASFILM 4 4 4 4 LUCASFILM 1 1 1 1 LUCASFILM 16 33 41 70 LUCASFILM 13 15 29 31 LUCASFILM 1 1 3 3 LUCASFILM 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 2 2 3 3 LUCASFILM 3 5 5 6 LUCASFILM 2 2 2 2 LUCASFILM 2 2 4 4 LUCASFILM 1 3 3 6 LUCASFILM 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 15 23 38 52 LUCASFILM 4 5 4 5 LUCASFILM 2 2 5 5 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 2 2 3 3 LUCASFILM 5 5 9 9 LUCASFILM 2 2 4 4 LUCASFILM 1 2 3 4 LUCASFILM 1 1 2 2 LUCASFILM 1 3 4 9 LUCASFILM 2 3 6 9 LUCASFILM 2 3 4 5 LUCASFILM 1 1 4 4 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 2 3 5 5 LUCASFILM 2 2 4 4 1 Case511cv 02509LHK Filed062213 Document442 Page99 Manager and Employee Counts by Employers and Technical Employer Title Class 2005 Managers 106 of Titles 2009 Employees Manager Years Employee Years LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 1 4 4 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 1 1 4 4 LUCASFILM 2 5 4 9 LUCASFILM 1 1 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 2 3 4 LUCASFILM 1 1 3 3 LUCASFILM 1 1 4 4 LUCASFILM 4 4 5 5 LUCASFILM 1 1 4 4 LUCASFILM 2 5 5 11 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 1 1 4 4 LUCASFILM 6 17 14 36 LUCASFILM 2 4 6 9 LUCASFILM 2 2 2 2 LUCASFILM 12 33 27 55 LUCASFILM 1 1 1 1 LUCASFILM 1 2 4 5 LUCASFILM 9 10 15 16 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 2 2 6 6 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 LUCASFILM 30 63 69 121 LUCASFILM 11 15 19 20 LUCASFILM 2 2 2 2 LUCASFILM 1 3 3 6 LUCASFILM 1 1 3 3 LUCASFILM 3 4 3 4 LUCASFILM 1 1 3 3 LUCASFILM 1 1 2 2 LUCASFILM 1 2 4 8 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 2 2 5 5 LUCASFILM 1 1 1 1 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 1 1 2 2 LUCASFILM 4 4 7 7 LUCASFILM 1 1 4 4 LUCASFILM 1 1 3 3 LUCASFILM 2 3 4 6 LUCASFILM 1 1 1 1 LUCASFILM 1 1 3 3 LUCASFILM 7 14 12 20 LUCASFILM 5 6 9 10 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 LUCASFILM 2 2 4 4 LUCASFILM 1 1 1 1 LUCASFILM 2 3 5 7 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 1 LUCASFILM 2 2 3 3 LUCASFILM 1 1 1 1 LUCASFILM 2 2 2 2 LUCASFILM 1 1 1 1 LUCASFILM 1 1 2 2 1 Case5 11 cv 02509 LHK Document442 Filed0622 13 Page100 Manager and Employee Counts by Employers and Technical Employer Class 2005 Managers Title of 106 Titles 2009 Employees Manager Years Employee LUCASFILM 3 10 8 24 LUCASFILM 3 17 6 36 LUCASFILM 1 5 2 10 LUCASFILM 3 5 9 LUCASFILM 2 5 6 5 16 LUCASFILM 1 1 3 3 LUCASFILM 1 1 1 LUCASFILM 1 1 1 2 2 LUCASFILM 2 5 4 9 LUCASFILM 1 2 2 LUCASFILM 1 1 3 3 6 2 1 2 2 1 1 3 3 6 3 13 13 25 113 36 385 7 9 9 18 FIX 7 22 8 39 FIXLEAD 2 1 2 2 15 11 24 36 PIXAR PIXAR PIXAR 360 DEGREE 360 DEGREE TECH ADMINISTRATOR ANIMATOR PIXAR PIXAR PIXAR PIXAR ANIMATOR SUPERVISING 5 3 6 6 10 6 15 15 CHARACTER 1 1 3 3 GRAPHIC 10 9 18 25 ARCHITECT SYSTEM AFTER ARTIST ARTIST ARTIST EFFECTS MOTION 2 2 2 2 SKETCH 21 23 29 67 ARTIST STORY 21 39 37 135 STORY DEVELOPMENT 8 3 10 11 18 13 24 33 10 4 13 14 ARTIST PIXAR ARTIST PIXAR PIXAR DEPT DIRECTING ANIMATOR PIXAR PIXAR LEAD TECH ANIMATOR PIXAR PIXAR LEAD ANIMATOR PIXAR PIXAR CREATIVE ARTIST GRAPHIC PIXAR ART PIXAR ART DIRECTOR DIRECTOR SHADING PIXAR CGI PAINTER 9 14 11 26 PIXAR 2 2 1 1 1 2 PIXAR CHARACTER DESIGNER CREATIVE RESOURCES ARTIST 1 1 PIXAR DESIGNER 1 1 2 2 3 3 3 4 1 1 5 5 1 1 1 1 14 6 22 29 1 1 1 1 1 1 2 2 1 1 5 5 2 1 3 3 2 1 3 3 2 1 2 2 1 1 5 5 2 1 5 5 1 1 4 4 1 1 2 2 2 1 5 5 1 1 5 5 3 2 6 7 2 2 3 3 1 1 5 5 PIXAR PIXAR PIXAR PIXAR PIXAR DESIGNER CAMERA DESIGNER ENVIRONMENTAL DESIGNER DESIGNER PRODUCTION DESIGNER PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR LEAD DEVELOPER RENDERMAN PRODUCTS DIR MANAGEMENT ARTIST DIR CREATIVE ARTISTS DIR MEDIA SYSTEMS DIR RENDERMAN PRODUCT DIR STUDIO DIR SYSTEMS DIR DEV TOOLS INFRASTRUCTURE TECHNICAL PIXAR PIXAR SHADING DESIGN PIXAR PIXAR GRAPHIC ARTISTS ENGINEER MANAGER ENGINEERING ENGINEER API QUALITY ASSURANC ENGINEER APPLICATIONS ENGINEER ASSOCIATE PIXAR ENGINEER ASSURANCE AUTOMATION 1 1 4 4 PIXAR ENGINEER EDITORIAL PIPELINE ENGINEER IMAGE MASTERING 1 3 5 2 2 2 4 4 1 1 4 4 3 4 7 2 5 4 6 12 1 1 3 3 1 3 5 14 1 1 1 1 3 3 7 8 2 1 5 5 9 29 19 78 3 1 5 5 2 5 5 16 3 9 10 24 2 1 5 5 2 2 5 7 1 1 5 19 66 50 2 2 4 5 1 1 5 5 1 1 1 1 PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR ENGINEER LEAD ENGINEER LEAD SOFTWARE ENGINEER MEDIA SYSTEMS ENGINEER MENV ENGINEER ENGINEER SUPPORT PIPELINE PIPELINE ROTATION PNG LEAD SOFTWARE ENGINEER PNG QUALITYASSURANC ENGINEER PNG SOFTWARE ENGINEER PNG SR SOFTWARE ENGINEER ENGINEER PRODUCTION ENGINEER QUALITY ENGINEER SUPPORT ASSURANCE RECORDING ENGINEER RENDERMAN SUPPORT ENGINEER SCREENING ROOM ENGINEER SOFTWARE ENGINEER SOFTWARE ENGINEER SOFTWARE GRAPHICS TECHSUPPORT ENGINEER SOFTWARE TEMPORARY 5 191 Years Case5 11 cv 02509 LHK Document442 Filed0622 13 Page101 Manager and Employee Counts by Employers and Technical Employer PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR 1 1 1 2 3 6 7 9 22 22 2 5 2 6 6 2 1 3 3 2 2 7 2 5 1 3 3 DEVELOPER 1 1 4 4 DEVELOPER 1 1 5 5 2 2 5 6 3 3 5 6 1 1 1 1 18 19 26 58 2 1 2 2 3 3 7 7 1 1 1 1 1 1 3 3 3 1 4 4 2 1 5 5 2 1 5 5 3 2 5 5 2 1 2 2 1 1 2 2 3 2 6 7 2 2 4 4 3 1 5 5 1 1 2 2 1 1 1 1 1 1 1 1 2 4 4 1 1 1 4 4 2 1 4 4 10 12 15 28 9 6 11 15 2 1 4 4 1 1 1 1 1 1 2 2 6 9 13 19 1 1 3 3 1 4 5 15 2 ENGINEER STUDIO SUPPORT SW INFRASTRUCTURE ENGINEER ENGINEER TECHNICAL APPS INTERACTION INTRANET PIXAR PIXAR DESIGNER DESIGNER PNG LAYOUT LAYOUT MEDIA ARTIST ARTIST LEAD SYSTEMS COORDINATOR MGR 360 MGR GROUP GROUP APPLICATIONS MGR BUILD MGR DESKTOP SYSTEMS MGR FINANCIAL SYSTEMS MGR IMAGE MASTERING MGR ITCONSTRUCTION MGR LEAD PROJ STUDIO TOOLS MGR MEDIA SYSTEMS MGR PROJECT MGR QUALITY ASSURANCE MGR SR PROJECT STUDIO TOOLS MGR SW INFRASTRUCTURE MGR SYSTEMS INFRASTRUCTURE MGR SYSTEMS OPERATIONS MGR TOOLS WORKFLOW MGR USER INTERFACE PAINTER DIGITAL PAINTER MATTE PNG GROUP PIXAR PIXAR SUPPORT IMAGE MASTERING COORDINATOR PIXAR PIXAR Employee 1 SR MEDIA SYSTEM ENGINEER SR SOFTWARE ENGINEER SR SW INFRASTRUCTURE PIXAR PIXAR Years ENGINEER SR AUTOMATION ENGINEER PIXAR PIXAR Manager 11 PIXAR PIXAR Employees 3 PIXAR PIXAR 2009 6 HR APPLICATION PIXAR Titles 1 PIXAR PIXAR 106 TEST FINANCIAL PIXAR 2005 Managers Title ENGINEER SOFTWARE PIXAR PIXAR Class of LEAD MGR PNG PROJECT MGR RENDERMAN PROJECT MGR STUDIO TOOLS PROJECT RAPD PROTOTYPE COMPUTER RENDER PIPELINE 1 2 1 PIXAR RESIDENT SOFTWARE ENGINEER 1 1 1 1 PIXAR RESIDENT TECHNICAL DIRECTOR 3 41 4 41 1 1 1 1 9 6 21 26 7 2 9 10 2 1 3 3 2 2 2 2 5 16 14 57 ASSET 2 2 3 4 JR 1 1 2 2 JR MAC 1 2 4 7 LEAD 1 3 1 3 SR 5 11 19 47 1 1 2 2 1 1 2 62 292 131 841 31 41 47 94 1 1 1 1 1 2 5 6 1 1 1 1 2 2 5 6 1 1 5 5 PIXAR PIXAR RESIDENT ARTIST SPECIALIST SCULPTOR VP TECHNOLOGY PIXAR SR PIXAR STORY PIXAR SYSTEMS PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR PIXAR ARTIST DIGITAL ADMINISTRATOR SYSTEMS ADMINISTRATOR SYSTEMS ADMINISTRATOR SYSTEMS ADMINISTRATOR SYSTEMS ADMINISTRATOR SYSTEMS ADMINISTRATOR SYSTEMS PIXAR PIXAR PILOT SCIENTIST SR PIXAR PIXAR TEST RESIDENT PIXAR PIXAR ANIMATION SYSTEMS TECHNICAL DIRECTOR DIRECTOR TECHNICAL DIRECTOR TECHNICAL LEAD ROTATION LEAD BACKUP GROUP TECHNICAL LEAD TECHNICAL ANALYST COORDINATOR IMAGMASTERING LEAD MEDIA TECHNICAL TECHNICAL LEAD SYSTEMS RENDERING 2 PIXAR TECHNICAL LEAD STORAGE 1 1 1 1 PIXAR TECHNICAL LEAD TELECOM 2 1 5 5 2 2 4 4 3 1 4 4 PIXAR PIXAR TECHNICAL TECHNICAL WRITER WRITER API TECH DIRECTOR CRTV SVCS 1 9 5 22 PIXAR TECH DIRECTOR DEPT SUPV 13 25 18 53 PIXAR TECH DIRECTOR LEAD CRTV 1 1 5 5 18 11 34 36 1 1 1 1 2 1 3 3 PIXAR PIXAR TECH DIRECTOR PIXAR TECH DIR PIXAR SVCS SUPERVISING SR ANIM SCIENTIST TEST PILOT LEAD Years Case5 11 cv 02509 LHK Filed0622 13 Document442 Page102 Manager and Employee Counts by Employers and Technical Employer Class 2005 USER PIXAR INTERFACE VP ADVANCED VP SOFTWARE PIXAR PIXAR WORKFLOW PIXAR 6 8 1 2 2 1 3 3 3 6 7 1 1 1 1 1 2 1 1 2 3 3 2 DESIGNER 3 1 ARTIST 1 3 ENGINEERING INTERACTION 1 3 3 Notes 1 2 3 Google data does not have Manager Column Managers Column Manager Source Dr Leamer’s and Employees Years information show the count of unique Manager and Employee backup data Years show the total Employee 1 2 TECHNOLOGY WORKFLOW PIXAR Years 1 1 VP TECHNOLOGY PIXAR Manager Employees 4 DESIGNER VP SYSTEMS PIXAR Titles 1 VISUAL DESIGNER PIXAR 106 2009 Managers Title TEST PILOT SENIOR PIXAR of count IDs of and Employee unique Manager IDs IDs by Employer and Employee and Job IDs Title during 2005 by year and employer 2009 for each of the years in 2005 2009 Years Case5 11 cv 02509 LHK Document442 APPENDIX Filed0622 13 E2 Page103 of 106 Employee Counts by Employers and Year Technical Class 2005 2009 Unique Employee Employer 2005 2006 2007 2008 2009 ADOBE 2,202 2,216 2,277 2,400 2,551 3,603 APPLE 3,343 3,673 4,231 4,933 5,571 6,908 GOOGLE 2,258 3,774 5,286 6,376 6,800 8,082 INTEL 28,989 27,780 26,709 26,390 26,458 37,338 INTUIT 1,592 1,849 2,237 2,344 2,230 3,719 2 295 587 572 626 869 478 550 568 666 704 Counts 848 LUCASFILM PIXAR Note LUCASFILM Source Dr data does not have Leamer’s backup data title information 2005 2009 before 2006 hence the low number in 2005 Case511cv 02509 LHK Document442 APPENDIX Filed062213 Page104 of 106 E3 Manager Counts by EmployersandYear Technical Class 2005 2009 Unique 2006 2007 ADOBE 425 448 428 464 493 847 APPLE 689 761 860 1,050 1,155 1,615 INTEL 5,663 4,232 4,007 4,003 3,983 8,135 INTUIT 418 448 537 542 519 1,095 2 142 199 181 184 238 72 72 80 85 132 LUCASFILM 72 PIXAR Note 1 Google Source Dr data does not have Leamersbackup Manager data information 2008 2009 Manager 2005 Employer 2005 2009 Counts Case511cv 02509 LHK Intel Document442 APPENDIX Filed062213 F Page105 of 106 Employee Counts by Job Function Class 2005 to 2009 Technical Notes 1Column Employees shows 2Column Employee Years Source Intel compensation the count shows data the of unique Employee total count 76586DOC001050 of AEO IDs by Job unique Employee xls Dr Leamers Function IDs backup by Year data and Job Function for each of the years in 2005 2009 Case511cv 02509 LHK Intel Dr Leamersbackup APPENDIX Filed062213 G Page106 Employee Counts by Region Technical Source Document442 data Class 2005 to 2009 of 106

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