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Estimating Gender Differences in Access to Jobs

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.
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Submitted on : Tuesday, July 30, 2013 - 9:59:34 AM
Last modification on : Thursday, October 21, 2021 - 3:16:20 PM
Long-term archiving on: : Wednesday, April 5, 2017 - 5:28:02 PM


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  • HAL Id : halshs-00849072, version 1


Laurent Gobillon, Dominique Meurs, Sébastien Roux. Estimating Gender Differences in Access to Jobs. 2013. ⟨halshs-00849072⟩



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