Labor market sorting and the gender pay gap revisited

Anthony Strittmatter () and Conny Wunsch ()
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Anthony Strittmatter: UniDistance Suisse
Conny Wunsch: Faculty of Business and Economics, University of Basel

Journal of Population Economics, 2025, vol. 38, issue 3, No 8, 41 pages

Abstract: Abstract This paper shows that gender segregation in the labor market has important implications for the estimation of gender pay gaps. Using Switzerland as an example, we provide evidence that there are sizable segments in the labor market with perfect sorting such that there are no comparable men and women. In these segments, covariate-adjusted gender pay gaps are not identified non-parametrically. Reliability of estimated pay gaps then requires correct functional forms for extrapolation or excluding segments of the labor market with perfect sorting from the analysis. We discuss different estimation choices within this trade-off and show how they affect estimates of unexplained gender pay gaps. We find that enforcing comparability ex ante, estimator choice and functional form restrictions matter greatly. Using a flexible semi-parametric estimator with moderate restrictions on ex ante comparability explains up to 38% more of the raw gender pay gap and results in estimated unexplained gender pay gaps that are up to 44% smaller than standard Blinder-Oaxaca estimates that account for the same wage determinants but ignore lack of overlap.

Keywords: Gender inequality; Gender pay gap; Common support; Model specification; Matching estimator; Machine learning (search for similar items in EconPapers)
JEL-codes: C52 C55 J31 J71 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00148-025-01115-1

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