The DOI matches its Crossref record.
Equalizing Differences in the Labor Market
Abstract
The theory of equalizing differences asserts that workers receive compensating wage premiums when they accept jobs with undesirable nonwage characteristics, holding the worker's characteristics constant. Previous research provides only inconsistent support for the theory, with wrong-signed or insignificant estimates of these wage premiums fairly common. An oft-cited reason for these anomalies is that important characteristics of the worker remain unmeasured, biasing the estimates. In this paper, longitudinal data are used to test this conjecture. Although such data improve the control for worker characteristics, the plausibility of the estimates is not markedly improved. Alternative explanations for these results are considered. “It's indoor work and no heavy lifting.” —Senator Robert Dole, explaining why he wanted to be Vice President.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The value of a statistical life: A critical review of market estimates throughout the world
Viscusi, W. K., & Aldy, J. E. (2003) · Journal of Risk and Uncertainty · doi:10.1023/a:1025598106257 · Cited by 2,135
Longitudinal Analyses of the Effects of Trade Unions
Freeman, R. B. (1984) · Journal of Labor Economics · doi:10.1086/298021 · Cited by 479
Unemployment: Macroeconomic Performance and the Labour Market
Layard, R., Nickell, S., & Jackman, R. (2005) · doi:10.1093/acprof:oso/9780199279166.001.0001 · Cited by 325
Labor Supply Preferences, Hours Constraints, and Hours-Wage Trade-offs
Altonji, J. G., & Paxson, C. H. (1988) · Journal of Labor Economics · doi:10.1086/298183 · Cited by 249
Labor market conditions and the high school dropout rate: Evidence from New York State
Rees, D. I., & Mocan, H. N. (1997) · Economics of Education Review · doi:10.1016/s0272-7757(96)00037-4 · Cited by 77
Metadata
- Authors
- Brown, C.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1980-02
- Volume
- 94
- Issue
- 1
- Pages
- 113
- ISSN
- 0033-5533 (ISSN-L)
- OpenAlex
- W1997543237
- Cited by
- 596
- References
- 0
- FWCI
- 29.74
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Equalizing Differences in the Labor Market. https://app.cochat.ai/papers/10.2307/1884607
- The paper
- Brown, C. (1980). Equalizing Differences in the Labor Market. The Quarterly Journal of Economics. https://doi.org/10.2307/1884607
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.