Estimating Gender Differences in Access to Jobs

Laurent Gobillon, Dominique Meurs and Sébastien Roux ()

No 6928, IZA Discussion Papers from IZA Network @ LISER

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.

Keywords: glass ceiling; discrimination; wages; quantiles; gender; job assignment model (search for similar items in EconPapers)
JEL-codes: J16 J31 J71 (search for similar items in EconPapers)
Pages: 57 pages
Date: 2012-10
New Economics Papers: this item is included in nep-lma
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Published - published in: Journal of Labor Economics, 2015, 33(2), 317-363

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https://docs.iza.org/dp6928.pdf (application/pdf)

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 (2015)
Working Paper: Estimating Gender Differences in Access to Jobs (2013)
Working Paper: Estimating Gender Differences in Access to Jobs (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp6928

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