Women at work. A task analysis of the gender wage gap

Elizabeth Casabianca (), Alessia Lo Turco and Claudia Pigini

No 412, Working Papers from Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali

Abstract: We provide a task-based analysis of the gender wage gap. We apply multivariate factor analysis on the O*NET database and show that three main tasks describe an occupation: manual, managerial-interpersonal and cognitive-professional. Matching our task measures with U.S. CPS data from 2003 to 2010 we find that the gender wage gap narrows as the manual and cognitive-professional intensity of tasks increases, whereas it widens in managerial-interpersonal intensive jobs. Non-cognitive skills, then, importantly characterize jobs and translate into heterogenous returns across genders. Our empirical strategy simultaneously accounts for endogenous selection into employment and occupations according to the latter's task intensity.

Keywords: Employment participation; Gender disparities; Occupational choices; Roy model; Task approach (search for similar items in EconPapers)
JEL-codes: J24 J31 (search for similar items in EconPapers)
Pages: 41
Date: 2015-11
New Economics Papers: this item is included in nep-lma
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:anc:wpaper:412

Access Statistics for this paper

More papers in Working Papers from Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali Contact information at EDIRC.
Bibliographic data for series maintained by Maurizio Mariotti ().