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Compensating Wage Differentials in Labor Markets

Empirical Challenges and Applications

Bibliographic Data

ID4029031
AuthorsKurt Lavetti (0000-0002-7126-0366, Kurt Lavetti is Associate Professor of Economics, The Ohio State University, Columbus, Ohio and a Research Associate at the National Bureau of Economic Research. ., corresponding author)
Year2023
Volume37
Issue3
Pages189-212
Publication date2023-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Journal of Economic Perspectives (JOURNAL)
Journal identifiersISSN: 0895-3309 • E-ISSN: 1944-7965
PublisherAmerican Economic Association (PUBLISHER • US)
DOI10.1257/jep.37.3.189
OpenAlexW4385502202
LanguageEN
Citations received12
References cited8

The model of compensating wage differentials is among the cornerstone models of equilibrium wage determination in labor economics. However, empirical estimates of compensating differentials have faced persistent credibility challenges. This article summarizes the Rosen model of compensating differentials and chronicles the advances, setbacks, and lessons learned from empirical studies. The progression from cross-sectional to panel models alleviated biases caused by unobserved human capital but yielded new insights into the importance of other biases, including those caused by labor market frictions and endogenous job mobility. I discuss recent approaches that use matched employer-employee data and quasi-random variation in job amenities to address some of these challenges. I then present two examples of applications of compensating differentials: the evaluation public health and safety policies that rely on the value of statistical life, and the measurement and interpretation of earnings inequality

Cornerstone · Credibility · Earnings · Econometrics · Economics · Efficiency wage · Estimation · Human capital · Inequality · Labor relations · Labour economics · Personnel economics · Structural estimation · Wage · Employment and Welfare Studies · Income, Poverty, and Inequality · Labor market dynamics and wage inequality

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Unique citing works12
Citations per year6
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 11

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