Estimating Gender Differences in Access to Jobs
1
INED -
Institut national d'études démographiques
2 PSE - Paris School of Economics
3 PSE - Paris-Jourdan Sciences Economiques
4 CEPR - Center for Economic Policy Research
5 EconomiX - EconomiX
6 CREST - Centre de Recherche en Économie et Statistique
7 DARES - Direction de l'animation de la recherche, des études et des statistiques
2 PSE - Paris School of Economics
3 PSE - Paris-Jourdan Sciences Economiques
4 CEPR - Center for Economic Policy Research
5 EconomiX - EconomiX
6 CREST - Centre de Recherche en Économie et Statistique
7 DARES - Direction de l'animation de la recherche, des études et des statistiques
Laurent Gobillon
- Fonction : Auteur
- PersonId : 743074
- IdHAL : laurent-gobillon
- ORCID : 0000-0003-4849-7397
- IdRef : 105651346
Sébastien Roux
- Fonction : Auteur
- PersonId : 856660
Résumé
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.
Domaines
Economies et financesFormat du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Résumé |
en
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.
|
Titre |
en
Estimating Gender Differences in Access to Jobs
|
Auteur(s) |
Laurent Gobillon
1, 2, 3, 4
, Dominique Meurs
1, 5
, Sébastien Roux
6, 7
1
INED -
Institut national d'études démographiques
( 57627 )
- Campus Condorcet
9, cours des Humanités - CS 50004
93322 Aubervilliers Cedex
- France
2
PSE -
Paris School of Economics
( 301309 )
- 48 boulevard Jourdan 75014 Paris
- France
3
PSE -
Paris-Jourdan Sciences Economiques
( 139754 )
- 48 boulevard Jourdan 75014 Paris
- France
4
CEPR -
Center for Economic Policy Research
( 143559 )
- Royaume-Uni
5
EconomiX -
EconomiX
( 2564 )
- Bâtiment G
200 Avenue de la République
92001 NANTERRE CEDEX
- France
6
CREST -
Centre de Recherche en Économie et Statistique
( 2579 )
- 5, Avenue Henry Le Chatelier, 91120 Palaiseau
- France
7
DARES -
Direction de l'animation de la recherche, des études et des statistiques
( 172175 )
- DARES : 39-43, quai André Citroën - 75902 - PARIS CEDEX 15
- France
|
Page/Identifiant |
317 - 363
|
Audience |
Internationale
|
Date de publication |
2015-04
|
Numéro |
2
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Volume |
33
|
Financement |
|
Domaine(s) |
|
Mots-clés |
en
Job, gender difference
|
DOI | 10.1086/678495 |
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