Estimating Gender Differences in Access to Jobs

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
Document type :
Journal articles
Liste complète des métadonnées
Contributor : Caroline Bauer <>
Submitted on : Monday, September 28, 2015 - 2:06:49 PM
Last modification on : Tuesday, April 2, 2019 - 2:27:14 AM

Links full text



Laurent Gobillon, Dominique Meurs, Sébastien Roux. Estimating Gender Differences in Access to Jobs. Journal of Labor Economics, University of Chicago Press, 2015, 33 (2), ⟨10.1086/678495⟩. ⟨halshs-01206083⟩



Record views