Estimating Gender Differences in Access to Jobs

Laurent Gobillon, Dominique Meurs and Sébastien Roux ()

Journal of Labor Economics, 2015, vol. 33, issue 2, 317 - 363

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.

Date: 2015
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Related works:
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)
Working Paper: Estimating Gender Differences in Access to Jobs (2012)
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