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Cited by 279

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Compensating Wage Differentials and Unobserved Productivity

Hwang, Hae-shin, Reed, W. Robert, Hubbard, Carlton·1992·Journal of Political Economy

Abstract

It is well known that the inability to observe workers' full labor market productivity can bias estimates of compensating wage differentials. This paper attempts to determine how serious this bias is likely to be. It adopts a stochastic framework of workers' tastes over job attributes and models their equilibrium wage-job attribute choices. Workers' productivity is assumed to consist of observed and unobserved components. Applying the standard estimation methodology, we find that the degree of bias can be surprisingly large. On the basis of our analysis, we conclude that contemporary labor market studies are likely to severely underestimate workers' willingness to pay for job attributes. This has implications for a number of applications of compensating wage differentials, including value of life studies.

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Metadata

Authors
Hwang, H.-S., Reed, W. R., & Hubbard, C.
Venue
Journal of Political Economy
Published
1992-08
Volume
100
Issue
4
Pages
835-858
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
OpenAlex
W1984509468
Cited by
279
References
21
FWCI
11.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Compensating Wage Differentials and Unobserved Productivity. https://app.cochat.ai/papers/10.1086/261842
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Hwang, H.-S., Reed, W. R., & Hubbard, C. (1992). Compensating Wage Differentials and Unobserved Productivity. Journal of Political Economy. https://doi.org/10.1086/261842

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.