Working Hours, Top Management Appointments, and Gender: Evidence from Linked Employer-Employee Data

Using Danish registry data linked to the Labor Force Survey, we provide the first rigorous evidence with external validity on the hours-career nexus (positive association between hours and career success). Guided by three theories (human capital; rat race; tournament), we unpack the hours-career nexus through examining: the differential effect of hours in the present firm and elsewhere; hours relative to peers’ hours; standard vs. evening/night/weekend hours; and the importance of sustaining long hours. Supplemented by the time use survey, we show the gender gap in hours and career success is due mostly to gendered division of labor in household production.

Authors

Publication Details

Journal
Journal of Labor Economics
Published
2024-10-14
DOI
https://doi.org/10.1086/733490
Citations
4
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
4.52
Controls
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article

Working Hours, Top Management Appointments, and Gender: Evidence from Linked Employer-Employee Data

Nina Smith, Anders Frederiksen, Takao Kato
4 citations
Journal of Labor Economics
Labor market dynamics and wage inequality
4.52
article

Working Hours, Top Management Appointments, and Gender: Evidence from Linked Employer-Employee Data

Nina Smith, Anders Frederiksen, Takao Kato
article en
4 citations

Abstract

Using Danish registry data linked to the Labor Force Survey, we provide the first rigorous evidence with external validity on the hours-career nexus (positive association between hours and career success). Guided by three theories (human capital; rat race; tournament), we unpack the hours-career nexus through examining: the differential effect of hours in the present firm and elsewhere; hours relative to peers’ hours; standard vs. evening/night/weekend hours; and the importance of sustaining long hours. Supplemented by the time use survey, we show the gender gap in hours and career success is due mostly to gendered division of labor in household production.

Journal of Labor Economics
Gender equality
Openalex Percentile: Top 5%
Labor market dynamics and wage inequality
4.52
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