Estimating Gender Differences in Access to Jobs
Pré-publication, Document de travail: 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.
Auteur(s)
Laurent Gobillon, Dominique Meurs, Sébastien Roux
Date de publication
- 2013
Mots-clés JEL
Mots-clés
- Gender
- Discrimination
- Wages
- Quantiles
- Job assignment model
- Glass ceiling
Référence interne
- PSE Working Papers n°2013-25
URL de la notice HAL
Version
- 1