Too Competitive to Care? The Overall Explanatory Power of Personality for Occupational Gender Segregation
Thomas Buser ()
Additional contact information
Thomas Buser: University of Amsterdam
No 18721, IZA Discussion Papers from IZA Network @ LISER
Abstract:
A large literature in behavioral and labor economics documents gender differences in personality traits and preferences, as well as their explanatory power for gender gaps in occupational choice and career success. These studies usually focus on a single trait or personality classification, such as competitiveness, risk preferences, or the Big Five personality inventory. In this paper, I instead ask how much of gender differences in occupational sorting can be statistically explained by a comprehensive range of trait and preference measures jointly. I combine detailed personality and preference indicators elicited in a representative Dutch survey panel and link them to career outcomes for which large gender gaps are observed: the underrepresentation of women in management and math-intensive occupations, and the underrepresentation of men in teaching and caring occupations and the public sector. Correcting for measurement error, differences in preferences and personality can statistically explain a large part – typically half or more – of gender differences in occupational sorting. Traits with a "dark" side – such as willingness to play dirty, externalizing behavior or psychopathy – capture a surprisingly large share of these gaps.
Keywords: gender; occupational segregation; personality; economic preferences; competitiveness (search for similar items in EconPapers)
JEL-codes: D91 J16 J24 (search for similar items in EconPapers)
Date: 2026-06
References: Add references at CitEc
Citations:
Downloads: (external link)
https://docs.iza.org/dp18721.pdf (application/pdf)
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:iza:izadps:dp18721
Access Statistics for this paper
More papers in IZA Discussion Papers from IZA Network @ LISER Contact information at EDIRC.
Bibliographic data for series maintained by Mark Fallak ().