Estimating Gender Differences in Access to Jobs

Laurent Gobillon, Dominique Meurs and Sébastien Roux ()

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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.

Keywords: Job; gender difference (search for similar items in EconPapers)
Date: 2015-04
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Citations: View citations in EconPapers (23)

Published in Journal of Labor Economics, 2015, 33 (2), pp.317 - 363. ⟨10.1086/678495⟩

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Related works:
Journal Article: Estimating Gender Differences in Access to Jobs (2015)
Working Paper: Estimating Gender Differences in Access to Jobs (2015)
Working Paper: Estimating Gender Differences in Access to Jobs (2013)
Working Paper: Estimating Gender Differences in Access to Jobs (2013)
Working Paper: Estimating Gender Differences in Access to Jobs (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01206083

DOI: 10.1086/678495

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