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The gender pay gap revisited: Does machine learning offer new insights?

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  • Brieland, Stephanie
  • Töpfer, Marina

Abstract

This paper analyses gender differences in pay at the mean as well as along the wage distribution. Using data from the German Socio-Economic Panel, we estimate the adjusted gender pay gap applying a machine learning method (post-double-LASSO procedure). Comparing results from this method to conventional models in the literature, we find that the size of the adjusted pay gap differs substantially depending on the approach used. The main reason is that the machine learning approach selects numerous interactions and second-order polynomials as well as different sets of covariates at various points of the wage distribution. This insight suggests that more exible specifications are needed to estimate gender differences in pay more appropriately. We further show that estimates of all models are robust to remaining selection on unobservables.

Suggested Citation

  • Brieland, Stephanie & Töpfer, Marina, 2020. "The gender pay gap revisited: Does machine learning offer new insights?," Discussion Papers 111, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    • Handle: RePEc:zbw:faulre:111
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    1. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    2. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    3. Cobb-Clark, Deborah A. & Schurer, Stefanie, 2012. "The stability of big-five personality traits," Economics Letters, Elsevier, vol. 115(1), pages 11-15.
    4. Bertrand, Marianne, 2011. "New Perspectives on Gender," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 17, pages 1543-1590, Elsevier.
    5. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    6. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    7. Francine D. Blau & Lawrence M. Kahn, 2006. "The U.S. Gender Pay Gap in the 1990S: Slowing Convergence," ILR Review, Cornell University, ILR School, vol. 60(1), pages 45-66, October.
    8. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    9. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    10. Elizabeth Ty Wilde & Lily Batchelder & David T. Ellwood, 2010. "The Mommy Track Divides: The Impact of Childbearing on Wages of Women of Differing Skill Levels," NBER Working Papers 16582, National Bureau of Economic Research, Inc.
    11. Hadas Mandel & Moshe Semyonov, 2014. "Gender Pay Gap and Employment Sector: Sources of Earnings Disparities in the United States, 1970–2010," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1597-1618, October.
    12. Töpfer, Marina & Castagnetti, Carolina & Rosti, Luisa, 2016. "Discriminate me - if you can! The Disappearance of the Gender Pay Gap among Public-Contest Selected Employees," VfS Annual Conference 2016 (Augsburg): Demographic Change 145905, Verein für Socialpolitik / German Economic Association.
    13. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    14. Claudia Goldin, 2006. "The Quiet Revolution That Transformed Women's Employment, Education, and Family," American Economic Review, American Economic Association, vol. 96(2), pages 1-21, May.
    15. Alexandre Mas & Amanda Pallais, 2017. "Valuing Alternative Work Arrangements," American Economic Review, American Economic Association, vol. 107(12), pages 3722-3759, December.
    16. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    17. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    18. Nyhus, Ellen K. & Pons, Empar, 2005. "The effects of personality on earnings," Journal of Economic Psychology, Elsevier, vol. 26(3), pages 363-384, June.
    19. Matthias Collischon, 2020. "The Returns to Personality Traits Across the Wage Distribution," LABOUR, CEIS, vol. 34(1), pages 48-79, March.
    20. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    21. Nicole M. Fortin, 2008. "The Gender Wage Gap among Young Adults in the United States: The Importance of Money versus People," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    22. Brenzel, Hanna & Laible, Marie-Christine, 2016. "Does personality matter? : the impact of the big five on the migrant and gender wage gaps," IAB-Discussion Paper 201626, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    23. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    24. Goldin, Claudia, 2006. "The Quiet Revolution That Transformed Women’s Employment, Education, and Family," Scholarly Articles 2943933, Harvard University Department of Economics.
    25. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    26. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    27. Javier Gardeazabal & Arantza Ugidos, 2004. "More on Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 1034-1036, November.
    28. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
    29. Leonora Risse & Lisa Farrell & Tim R L Fry, 2018. "Personality and pay: do gender gaps in confidence explain gender gaps in wages?," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 919-949.
    30. Chinhui Juhn & Kristin McCue, 2017. "Specialization Then and Now: Marriage, Children, and the Gender Earnings Gap across Cohorts," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 183-204, Winter.
    31. Gensowski, Miriam, 2018. "Personality, IQ, and lifetime earnings," Labour Economics, Elsevier, vol. 51(C), pages 170-183.
    32. Almlund, Mathilde & Duckworth, Angela Lee & Heckman, James & Kautz, Tim, 2011. "Personality Psychology and Economics," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 1-181, Elsevier.
    33. Martha J. Bailey & Brad Hershbein & Amalia R. Miller, 2012. "The Opt-In Revolution? Contraception and the Gender Gap in Wages," American Economic Journal: Applied Economics, American Economic Association, vol. 4(3), pages 225-254, July.
    34. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    35. Nils Braakmann, 2009. "Psychological traits and the gender gap in full-time employment and wages: Evidence from Germany," Working Paper Series in Economics 112, University of Lüneburg, Institute of Economics.
    36. 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.
    37. Heineck, Guido & Anger, Silke, 2010. "The returns to cognitive abilities and personality traits in Germany," Labour Economics, Elsevier, vol. 17(3), pages 535-546, June.
    38. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-243, May.
    39. Anja Heinze & Elke Wolf, 2010. "The intra-firm gender wage gap: a new view on wage differentials based on linked employer–employee data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(3), pages 851-879, June.
    40. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    41. Nils Braakmann, 2009. "The Role of Psychological Traits for the Gender Gap in Full-Time Employment and Wages: Evidence from Germany," SOEPpapers on Multidisciplinary Panel Data Research 162, DIW Berlin, The German Socio-Economic Panel (SOEP).
    42. repec:pri:indrel:dsp01gb19f581g is not listed on IDEAS
    43. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    44. Gerrit Mueller & Erik Plug, 2006. "Estimating the Effect of Personality on Male and Female Earnings," ILR Review, Cornell University, ILR School, vol. 60(1), pages 3-22, October.
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    2. Olga Takács & János Vincze, 2023. "Where is the pain the most acute? The market segments particularly affected by gender wage discrimination in Hungary," CERS-IE WORKING PAPERS 2304, Institute of Economics, Centre for Economic and Regional Studies.

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    More about this item

    Keywords

    Gender pay gap; Machine Learning; Selection on unobservables;
    All these keywords.

    JEL classification:

    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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