The Impact of Selection into the Labor Force on the Gender Wage Gap

Francine D. Blau, Lawrence Kahn, Nikolai Boboshko and Matthew Comey

Journal of Labor Economics, 2024, vol. 42, issue 4, 1093 - 1133

Abstract: Using Michigan Panel Study of Income Dynamics data, we study selection bias and the gender wage gap. Employing several methods, we find large declines in the total and unexplained gender gaps in wage offers between 1981 and 2015. Under our preferred selection correction method, the median total and unexplained gaps fell by 0.378 and 0.204 log points, respectively. These are larger declines than if we had not corrected for selection and simply measured convergence in observed wage gaps. However, substantial selectivity-corrected median gender wage gaps remain in 2015: 0.242 log points (total gap) and 0.206 log points (unexplained gap).

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1086/725032 (application/pdf)
http://dx.doi.org/10.1086/725032 (text/html)
Access to the online full text or PDF requires a subscription.

Related works:
Working Paper: Th Impact of Selection into the Labor Force on the Gender Wage Gap (2021)
Working Paper: The Impact of Selection into the Labor Force on the Gender Wage Gap (2021)
Working Paper: The Impact of Selection into the Labor Force on the Gender Wage Gap (2021)
Working Paper: The Impact of Selection into the Labor Force on the Gender Wage Gap (2021)
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:ucp:jlabec:doi:10.1086/725032

Access Statistics for this article

More articles in Journal of Labor Economics from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().