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Empirical Bayes methods in labor economics

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  • Walters, Christopher

Abstract

Labor economists increasingly work in empirical contexts with large numbers of unit-specific parameters. These settings include a growing number of value-added studies measuring causal effects of individual units like firms, managers, neighborhoods, teachers, schools, doctors, hospitals, police officers, and judges. Empirical Bayes (EB) methods provide a powerful toolkit for value-added analysis. The EB approach leverages distributional information from the full population of units to refine predictions of value-added for each individual, leading to improved estimators and decision rules. This chapter offers an overview of EB methods in labor economics, focusing on properties that make EB useful for value-added studies and practical guidance for EB implementation. Applications to school value-added in Boston and employer-level discrimination in the US labor market illustrate the EB toolkit in action.

Suggested Citation

  • Walters, Christopher, 2024. "Empirical Bayes methods in labor economics," Handbook of Labor Economics,, Elsevier.
  • Handle: RePEc:eee:labchp:v:5:y:2024:i:c:p:183-260
    DOI: 10.1016/bs.heslab.2024.11.001
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    1. David Card & Ana Rute Cardoso & Joerg Heining & Patrick Kline, 2018. "Firms and Labor Market Inequality: Evidence and Some Theory," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 13-70.
    2. Magne Mogstad & Joseph P Romano & Azeem M Shaikh & Daniel Wilhelm, 2024. "Inference for Ranks with Applications to Mobility across Neighbourhoods and Academic Achievement across Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 476-518.
    3. Patrick Kline & Evan K. Rose & Christopher R. Walters, 2024. "A Discrimination Report Card," American Economic Review, American Economic Association, vol. 114(8), pages 2472-2525, August.
    4. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    5. Joshua D. Angrist & Parag A. Pathak & Christopher R. Walters, 2013. "Explaining Charter School Effectiveness," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 1-27, October.
    6. Bergman, Peter & Hill, Matthew J., 2018. "The effects of making performance information public: Regression discontinuity evidence from Los Angeles teachers," Economics of Education Review, Elsevier, vol. 66(C), pages 104-113.
    7. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    8. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1163-1228.
    9. Brigham Frandsen & Lars Lefgren & Emily Leslie, 2023. "Judging Judge Fixed Effects," American Economic Review, American Economic Association, vol. 113(1), pages 253-277, January.
    10. Eva O. Arceo-Gomez & Raymundo M. Campos-Vazquez, 2014. "Race and Marriage in the Labor Market: A Discrimination Correspondence Study in a Developing Country," American Economic Review, American Economic Association, vol. 104(5), pages 376-380, May.
    11. Gruetter, Max & Lalive, Rafael, 2009. "The importance of firms in wage determination," Labour Economics, Elsevier, vol. 16(2), pages 149-160, April.
    12. Bradley Efron, 2016. "Empirical Bayes deconvolution estimates," Biometrika, Biometrika Trust, vol. 103(1), pages 1-20.
    13. Raj Chetty & John N. Friedman & Emmanuel Saez & Nicholas Turner & Danny Yagan, 2017. "Mobility Report Cards: The Role of Colleges in Intergenerational Mobility," NBER Working Papers 23618, National Bureau of Economic Research, Inc.
    14. Felipe Goncalves & Steven Mello, 2021. "A Few Bad Apples? Racial Bias in Policing," American Economic Review, American Economic Association, vol. 111(5), pages 1406-1441, May.
    15. Stéphane Bonhomme & Kerstin Holzheu & Thibaut Lamadon & Elena Manresa & Magne Mogstad & Bradley Setzler, 2023. "How Much Should We Trust Estimates of Firm Effects and Worker Sorting?," Journal of Labor Economics, University of Chicago Press, vol. 41(2), pages 291-322.
    16. Atila Abdulkadiroğlu & Parag A. Pathak & Jonathan Schellenberg & Christopher R. Walters, 2020. "Do Parents Value School Effectiveness?," American Economic Review, American Economic Association, vol. 110(5), pages 1502-1539, May.
    17. Lachowska, Marta & Mas, Alexandre & Saggio, Raffaele & Woodbury, Stephen A., 2023. "Do firm effects drift? Evidence from Washington administrative data," Journal of Econometrics, Elsevier, vol. 233(2), pages 375-395.
    18. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    19. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1107-1162.
    20. Joshua Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2016. "Interpreting Tests of School VAM Validity," American Economic Review, American Economic Association, vol. 106(5), pages 388-392, May.
    21. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    22. Patrick Kline & Raffaele Saggio & Mikkel Sølvsten, 2020. "Leave‐Out Estimation of Variance Components," Econometrica, Econometric Society, vol. 88(5), pages 1859-1898, September.
    23. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    24. Christopher R. Walters, 2015. "Inputs in the Production of Early Childhood Human Capital: Evidence from Head Start," American Economic Journal: Applied Economics, American Economic Association, vol. 7(4), pages 76-102, October.
    25. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    26. Will Dobbie & Roland G. Fryer Jr., 2013. "Getting beneath the Veil of Effective Schools: Evidence from New York City," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 28-60, October.
    27. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2016. "Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector," American Economic Review, American Economic Association, vol. 106(8), pages 2110-2144, August.
    28. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
    29. Dan Goldhaber & Betheny Gross & Daniel Player, 2011. "Teacher career paths, teacher quality, and persistence in the classroom: Are public schools keeping their best?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 30(1), pages 57-87, December.
    30. David Card & Ana Rute Cardoso & Patrick Kline, 2016. "Bargaining, Sorting, and the Gender Wage Gap: Quantifying the Impact of Firms on the Relative Pay of Women," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 633-686.
    31. Stacy B. Dale & Alan B. Krueger, 2014. "Estimating the Effects of College Characteristics over the Career Using Administrative Earnings Data," Journal of Human Resources, University of Wisconsin Press, vol. 49(2), pages 323-358.
    32. Joshua Angrist & Peter Hull & Parag A. Pathak & Christopher R. Walters, 2024. "Race and the Mismeasure of School Quality," American Economic Review: Insights, American Economic Association, vol. 6(1), pages 20-37, March.
    33. Bonhomme, Stéphane & Denis, Angela, 2024. "Estimating heterogeneous effects: Applications to labor economics," Labour Economics, Elsevier, vol. 91(C).
    34. Jiaying Gu & Roger Koenker, 2017. "Rebayes: an R package for empirical bayes mixture methods," CeMMAP working papers CWP37/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    35. Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.
    36. Jiaying Gu & Roger Koenker, 2023. "Reply to: Comments on “Invidious Comparisons: Ranking and Selection as Compound Decisions”," Econometrica, Econometric Society, vol. 91(1), pages 61-66, January.
    37. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    38. John D. Storey & Jonathan E. Taylor & David Siegmund, 2004. "Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(1), pages 187-205, February.
    39. Stacy Berg Dale & Alan B. Krueger, 2002. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1491-1527.
    40. Jiaying Gu & Roger Koenker, 2022. "Ranking and Selection from Pairwise Comparisons: Empirical Bayes Methods for Citation Analysis," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 624-629, May.
    41. Jason Abaluck & Mauricio Caceres Bravo & Peter Hull: & Amanda Starc, 2021. "Mortality Effects and Choice Across Private Health Insurance Plans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1557-1610.
    42. Michael Gilraine & Jiaying Gu & Robert McMillan, 2020. "A New Method for Estimating Teacher Value-Added," NBER Working Papers 27094, National Bureau of Economic Research, Inc.
    43. Woodcock, Simon D., 2008. "Wage differentials in the presence of unobserved worker, firm, and match heterogeneity," Labour Economics, Elsevier, vol. 15(4), pages 771-793, August.
    44. Jiaying Gu & Roger Koenker, 2017. "Rebayes: an R package for empirical bayes mixture methods," CeMMAP working papers 37/17, Institute for Fiscal Studies.
    45. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    46. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    47. Roger Koenker & Ivan Mizera, 2014. "Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 674-685, June.
    48. Jiaying Gu & Roger Koenker, 2023. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Econometrica, Econometric Society, vol. 91(1), pages 1-41, January.
    49. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    50. David C Chan & Matthew Gentzkow & Chuan Yu, 2022. "Selection with Variation in Diagnostic Skill: Evidence from Radiologists [The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(2), pages 729-783.
    51. Patrick Kline & Christopher Walters, 2021. "Reasonable Doubt: Experimental Detection of Job‐Level Employment Discrimination," Econometrica, Econometric Society, vol. 89(2), pages 765-792, March.
    52. Evdokimov, Kirill & White, Halbert, 2012. "Some Extensions Of A Lemma Of Kotlarski," Econometric Theory, Cambridge University Press, vol. 28(4), pages 925-932, August.
    53. Xianchao Xie & S. C. Kou & Lawrence D. Brown, 2012. "SURE Estimates for a Heteroscedastic Hierarchical Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(500), pages 1465-1479, December.
    54. C. Kirabo Jackson & Shanette C. Porter & John Q. Easton & Alyssa Blanchard & Sebastián Kiguel, 2020. "School Effects on Socioemotional Development, School-Based Arrests, and Educational Attainment," American Economic Review: Insights, American Economic Association, vol. 2(4), pages 491-508, December.
    55. Alberto Abadie & Maximilian Kasy, 2019. "Choosing Among Regularized Estimators in Empirical Economics: The Risk of Machine Learning," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 743-762, December.
    56. Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg‐Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Econometrica, Econometric Society, vol. 90(6), pages 2567-2602, November.
    57. Krueger, Alan B & Summers, Lawrence H, 1988. "Efficiency Wages and the Inter-industry Wage Structure," Econometrica, Econometric Society, vol. 56(2), pages 259-293, March.
    58. Joshua D. Angrist & Peter D. Hull & Parag A. Pathak & Christopher R. Walters, 2017. "Leveraging Lotteries for School Value-Added: Testing and Estimation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 871-919.
    59. Jiaying Gu & Roger Koenker, 2016. "On a Problem of Robbins," International Statistical Review, International Statistical Institute, vol. 84(2), pages 224-244, August.
    60. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    61. Keane, Michael & Neal, Timothy, 2023. "Instrument strength in IV estimation and inference: A guide to theory and practice," Journal of Econometrics, Elsevier, vol. 235(2), pages 1625-1653.
    62. Douglas O. Staiger & Jonah E. Rockoff, 2010. "Searching for Effective Teachers with Imperfect Information," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 97-118, Summer.
    63. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2019. "A Distributional Framework for Matched Employer Employee Data," Econometrica, Econometric Society, vol. 87(3), pages 699-739, May.
    64. Christopher R. Walters, 2018. "The Demand for Effective Charter Schools," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2179-2223.
    65. Nunley John M. & Pugh Adam & Romero Nicholas & Seals R. Alan, 2015. "Racial Discrimination in the Labor Market for Recent College Graduates: Evidence from a Field Experiment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(3), pages 1093-1125, July.
    66. Evan K. Rose & Jonathan T. Schellenberg & Yotam Shem-Tov, 2022. "The Effects of Teacher Quality on Adult Criminal Justice Contact," NBER Working Papers 30274, National Bureau of Economic Research, Inc.
    67. Patrick Kline & Evan K Rose & Christopher R Walters, 2022. "Systemic Discrimination Among Large U.S. Employers [“Teachers and Student Achievement in the Chicago Public High Schools,”]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(4), pages 1963-2036.
    68. Liran Einav & Amy Finkelstein & Neale Mahoney, 2022. "Producing Health: Measuring Value Added of Nursing Homes," NBER Working Papers 30228, National Bureau of Economic Research, Inc.
    69. MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
    70. Atila Abdulkadiroğlu & Joshua D. Angrist & Susan M. Dynarski & Thomas J. Kane & Parag A. Pathak, 2011. "Accountability and Flexibility in Public Schools: Evidence from Boston's Charters And Pilots," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 699-748.
    71. Jiaying Gu & Roger Koenker, 2017. "Unobserved Heterogeneity in Income Dynamics: An Empirical Bayes Perspective," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 1-16, January.
    72. M. J. Andrews & L. Gill & T. Schank & R. Upward, 2008. "High wage workers and low wage firms: negative assortative matching or limited mobility bias?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 673-697, June.
    73. Joshua Angrist & Peter Hull & Parag A. Pathak & Christopher Walters, 2024. "Credible School Value-Added with Undersubscribed School Lotteries," The Review of Economics and Statistics, MIT Press, vol. 106(1), pages 1-19, January.
    74. Timothy B. Armstrong & Michal Koles'ar & Mikkel Plagborg-M{o}ller, 2020. "Robust Empirical Bayes Confidence Intervals," Papers 2004.03448, arXiv.org, revised May 2022.
    75. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    76. Amitabh Chandra & Maurice Dalton & Douglas O. Staiger, 2023. "Are Hospital Quality Indicators Causal?," NBER Working Papers 31789, National Bureau of Economic Research, Inc.
    77. Raj Chetty & John N. Friedman & Nathaniel Hendren & Maggie R. Jones & Sonya R. Porter, 2018. "The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility," NBER Working Papers 25147, National Bureau of Economic Research, Inc.
    78. repec:mpr:mprres:6857 is not listed on IDEAS
    79. Alessandra Fenizia, 2022. "Managers and Productivity in the Public Sector," Econometrica, Econometric Society, vol. 90(3), pages 1063-1084, May.
    80. John D. Storey, 2002. "A direct approach to false discovery rates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 479-498, August.
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