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Journal of Labor Economics Vol. 33 No. 2 2015

Estimating Gender Differences in Access to Jobs

Laurent Gobillon1; Dominique Meurs2,3; Sébastien Roux4,5

1 Center for Economic and Policy Research · 2 Institut national d'études démographiques · 3 EconomiX · 4 Centre for Research in Engineering Surface Technology · 5 Centre de Recherche en Économie et Statistique

open access

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.

DOI
10.1086/678495
Volume
33
Issue
2
Pages
317-363
Language
en
Sources
openalex crossref

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