Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/314421 
Erscheinungsjahr: 
2025
Schriftenreihe/Nr.: 
ZEW Discussion Papers No. 25-016
Verlag: 
ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung, Mannheim
Zusammenfassung: 
This paper examines how worker skills and job application behavior contribute to the gender wage gap on a major online freelancing platform. We observe significant occupational sorting by gender, with women over-represented in lower-paying project categories and tending to earn less than men even within the same categories. The unexplained gender wage gap conditional on education is initially 39.9%, but it narrows to under 2% when accounting for differences in human capital and application strategies. Our analysis shows that application behavior, including job preferences and asking wages, is the primary factor, explaining up to 90% of the wage gap. We also find that women work on longer projects and achieve higher application success rates than men, which helps offset lower hourly earnings by accumulating more work hours. While men have slightly greater platform and traditional work experience it has minimal impact on wage outcomes. These findings suggest that the gender wage gap on the platform primarily reflects distinct usage patterns between men and women.
Schlagwörter: 
gender wage gap
gig economy
skills
human capital
flexibility
job application behavior
online labor markets
random forest regression
JEL: 
J16
J24
J31
Dokumentart: 
Working Paper

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