• français
    • English
  • English 
    • français
    • English
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
BIRD Home

Browse

This CollectionBy Issue DateAuthorsTitlesSubjectsJournals BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesSubjectsJournals

My Account

Login

Statistics

View Usage Statistics

Evidence on the glass ceiling effect in France using matched worker-firm data

Thumbnail
View/Open
MPRA_paper_38590.pdf (254.3Kb)
Date
2008
Notes
Cet article a été publié dans la série des documents de travail du DIAL (DT/2006-03) sous le titre "Theory and evidence on the glass ceiling effect using matched worker firm data".
Dewey
Sociologie économique
Sujet
Données appariées employeurs-employés; Régressions de quantiles; Plafond de verre; Écart salarial selon le genre; Matched worker-firm data; Quantile regressions; Glass ceiling; Gender wage gap
JEL code
D80; J31; J16
Journal issue
Applied Economics
Volume
40
Number
24
Publication date
2008
Article pages
3233-3250
Publisher
Taylor & Francis
DOI
http://dx.doi.org/10.1080/00036840600994070
URI
https://basepub.dauphine.fr/handle/123456789/4377
Collections
  • LEDa : Publications
Metadata
Show full item record
Author
Jellal, Mohamed
Nordman, Christophe Jalil
Wolff, François-Charles
Type
Article accepté pour publication ou publié
Abstract (EN)
In this article, we investigate the relevance of the glass ceiling hypothesis in France, according to which there exist larger gender wage gaps at the upper tail of the wage distribution. Using a matched worker-firm data set of about 1 30 000 employees and 14 000 employers, we estimate quantile regressions and rely on a principal component analysis to summarize information specific to the firms. Our different results show that accounting for firm-related characteristics reduces the gender earnings gap at the top of the distribution, but the latter still remains much higher at the top than at the bottom. Furthermore, a quantile decomposition shows that the gender wage gap is mainly due to differences in the returns to observed characteristics rather than in differences in characteristics between men and women.

  • Accueil Bibliothèque
  • Site de l'Université Paris-Dauphine
  • Contact
SCD Paris Dauphine - Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16

 Content on this site is licensed under a Creative Commons 2.0 France (CC BY-NC-ND 2.0) license.