Estimating Gender Differences in Access to Jobs

Laurent Gobillon, Dominique Meurs and Sébastien Roux ()

PSE Working Papers from HAL

Abstract: This paper proposes a new measure of gender di¤erences 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 di¤erence in the probability of getting a job increases along the wage ladder from 9% to 50%. Females thus have a signi.cantly lower access to high-paid jobs than to low-paid jobs.

Keywords: Gender; Discrimination; Wages; Quantiles; Job assignment model; Glass ceiling (search for similar items in EconPapers)
Date: 2013-07
New Economics Papers: this item is included in nep-lab and nep-lma
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00849072v1
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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 (2015)
Working Paper: Estimating Gender Differences in Access to Jobs (2013)
Working Paper: Estimating Gender Differences in Access to Jobs (2012)
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