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Estimating Gender Differences in Access to Jobs

Author

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  • Laurent Gobillon
  • Dominique Meurs
  • Sébastien Roux

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 a female and a male at each rank of the wage ladder. We derive a nonparametric 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

  • Laurent Gobillon & Dominique Meurs & Sébastien Roux, 2015. "Estimating Gender Differences in Access to Jobs," Journal of Labor Economics, University of Chicago Press, vol. 33(2), pages 317-363.
  • Handle: RePEc:ucp:jlabec:doi:10.1086/678495
    DOI: 10.1086/678495
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    3. Clément Bosquet & Pierre‐Philippe Combes & Cecilia García‐Peñalosa, 2019. "Gender and Promotions: Evidence from Academic Economists in France," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(3), pages 1020-1053, July.
    4. Strittmatter, Anthony & Wunsch, Conny, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Working papers 2021/05, Faculty of Business and Economics - University of Basel.
    5. 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.
    6. Elise Coudin & Sophie Maillard & Maxime Tô, 2018. "Family, Firms and the Gender Wage Gap in France," Working Papers 2018-09, Center for Research in Economics and Statistics.
    7. Chen Lin & Yuxin Chen & Jeongwen Chiang & Yufei Zhang, 2021. "Do “Little Emperors” Get More Than “Little Empresses”? Boy-Girl Gender Discrimination as Evidenced by Consumption Behavior of Chinese Households," Marketing Science, INFORMS, vol. 40(6), pages 1123-1146, November.
    8. Field, Laura Casares & Souther, Matthew E. & Yore, Adam S., 2020. "At the table but can not break through the glass ceiling:Board leadership positions elude diverse directors," Journal of Financial Economics, Elsevier, vol. 137(3), pages 787-814.
    9. 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.
    10. Matthias Collischon, 2019. "Is There a Glass Ceiling over Germany?," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 329-359, November.
    11. Lamia E. Kandil, 2015. "Disentangling qualitative and quantitative central bank influence," Documents de Travail de l'OFCE 2015-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    12. Fathi Fakhfakh & Annick Vignes & Jihan Ghrairi, 2015. "Youth ! ... How did you find your job ?," Working Papers hal-01253907, HAL.
    13. Bredemeier, Christian, 2019. "Gender Gaps in Pay and Inter-Firm Mobility," IZA Discussion Papers 12785, Institute of Labor Economics (IZA).
    14. 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.
    15. Bosquet, Clément & Combes, Pierre-Philippe & Garcia-Penalosa, Cecilia, 2013. "Gender and competition: evidence from academic promotions in France," LSE Research Online Documents on Economics 58350, London School of Economics and Political Science, LSE Library.
    16. Yannick L’Horty & Dominique Meurs, 2016. "Introduction. Analyser les inégalités salariales entre les hommes et les femmes dans la fonction publique avec les données du Système d’information sur les agents des services publics," Économie et Statistique, Programme National Persée, vol. 488(1), pages 89-95.

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    More about this item

    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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