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
Type de document :
Article dans une revue
Journal of Labor Economics, University of Chicago Press, 2015, 33 (2), 〈10.1086/678495〉
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Soumis le : lundi 28 septembre 2015 - 14:06:49
Dernière modification le : jeudi 7 février 2019 - 17:07:51

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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〉

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