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Estimating Gender Differences in Access to Jobs

Author

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  • Gobillon, Laurent

    (Paris School of Economics)

  • Meurs, Dominique

    (University Paris Ouest-Nanterre)

  • Roux, Sébastien

    (CREST-INSEE)

Abstract

This paper proposes a new measure of gender differences in access to jobs based on a job assignment model. This measure is the probability ratio of getting a job for females and males at each rank of the wage ladder. We derive a non-parametric estimator of this access measure and estimate it for French full-time executives aged 40-45 in the private sector. Our results show that the gender difference in the probability of getting a job increases along the wage ladder from 9% to 50%. Females thus have a significantly lower access to high-paid jobs than to low-paid jobs.

Suggested Citation

  • Gobillon, Laurent & Meurs, Dominique & Roux, Sébastien, 2012. "Estimating Gender Differences in Access to Jobs," IZA Discussion Papers 6928, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp6928
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    4. Lochner, Benjamin & Merkl, Christian, 2022. "Gender-specific application behavior, matching, and the residual gender earnings gap," FAU Discussion Papers in Economics 04/2022, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
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    10. Alfano Vincenzo & Cicatiello Lorenzo & Gaeta Giuseppe Lucio & Pinto Mauro, 2021. "The Gender Wage Gap among Ph.D. Holders: Evidence from Italy," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(3), pages 1107-1148, July.
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    12. Anthony B. Atkinson & Alessandra Casarico & Sarah Voitchovsky, 2018. "Top incomes and the gender divide," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 225-256, June.
    13. P. Pora & L. Wilner, 2019. "Child Penalties and Financial Incentives: Exploiting Variation along the Wage Distribution," Documents de Travail de l'Insee - INSEE Working Papers g2019-08, Institut National de la Statistique et des Etudes Economiques.
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    16. Bertrand Garbinti & Jonathan Goupille-Lebret, 2019. "Income and Wealth Inequality in France: Developments and Links over the Long Term," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 69-87.
    17. Fathi Fakhfakh & Annick Vignes & Jihan Ghrairi, 2015. "Youth ! ... How did you find your job ?," Working Papers hal-01253907, HAL.
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    Keywords

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    JEL classification:

    • 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
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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