Estimating Gender Differences in Access to Jobs

Pre-print, Working paper: 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.

Author(s)

Laurent Gobillon, Dominique Meurs, Sébastien Roux

Date of publication
  • 2013
Keywords JEL
J16 J31 J71
Keywords
  • Gender
  • Discrimination
  • Wages
  • Quantiles
  • Job assignment model
  • Glass ceiling
Internal reference
  • PSE Working Papers n°2013-25
Version
  • 1