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Gender Wage Gap Accounting

The Role of Selection Bias

Bibliographic Data

ID10968352
AuthorsMichael Bar (0000-0003-3362-3709, San Francisco State University, corresponding author), Seik Kim (Korea University, corresponding author), Oksana Leukhina (0000-0003-0490-3111, University of Washington, corresponding author)
Year2015
Volume52
Issue5
Pages1729-1750
Publication date2015-10-01
Open AccessYes
TypeARTICLE
VenueDemography (JOURNAL)
Journal identifiersISSN: 0070-3370 • E-ISSN: 1533-7790
PublisherDuke University Press (PUBLISHER • US)
DOI10.1007/s13524-015-0418-x
PMID26358698
OpenAlexW2216096161
LanguageEN
Citations received5
References cited28

Mulligan and Rubinstein (2008) (MR) argued that changing selection of working females on unobservable characteristics, from negative in the 1970s to positive in the 1990s, accounted for nearly the entire closing of the gender wage gap. We argue that their female wage equation estimates are inconsistent. Correcting this error substantially weakens the role of the rising selection bias (39 % versus 78 %) and strengthens the contribution of declining discrimination (42 % versus 7 %). Our findings resonate better with related literature. We also explain why our finding of positive selection in the 1970s provides additional support for MR’s main hypothesis that an exogenous rise in the market value of unobservable characteristics contributed to the closing of the gender gap

Closing (real estate · Demographic economics · Econometrics · Economics · Gender gap · Labour economics · Mulligan · Selection (genetic algorithm · Selection bias · Statistics · Unobservable · Value (mathematics · Wage · Fiscal Policy and Economic Growth · Gender, Labor, and Family Dynamics · Labor market dynamics and wage inequality · Mathematics

  • Marginal College Wage Premiums Under Selection Into Employment

    Open Access•Matthias Westphal, Daniel Kamhöfer et al.•The Economic Journal•2022

  • Ds-Heck

    Open Access•Masayuki Hirukawa, Di Liu et al.•Empirical Economics•2023

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Citations per year0.71
Citation span2019 - 2023 (5)
Highly citedNo

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