The DOI matches its Crossref record.
Employers' Discriminatory Behavior and the Estimation of Wage Discrimination
Abstract
This paper considers the linkage of empirical estimates of wage discrimination between two groups, introduced by Oaxaca (1973), to a theoretical model of employers' discriminatory behavior. It is shown that, conditional on different assumptions about employers' discriminatory tastes, Oaxaca's estimators of wage discrimination can be derived. That the approach is more generally useful is demonstrated by deriving an alternative estimator of wage discrimination, based on the assumption that within each type of labor (e.g., unskilled, skilled) the utility function capturing employers' discriminatory tastes is homogeneous of degree zero with respect to labor inputs from each of the two groups. The estimators are compared empirically in an application to male-female wage differentials.
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
A Meta-Analysis of the International Gender Wage Gap: Meta-Analysis of the International Wage Gap
Weichselbaumer, D., & Winter-Ebmer, R. (2005) · Journal of Economic Surveys · doi:10.1111/j.0950-0804.2005.00256.x · Cited by 708
Experimental research on labor market discrimination
Neumark, D. (2018) · Journal of Economic Literature · doi:10.1257/jel.20161309 · Cited by 529
Self-citationThe changing value of the ‘green’ label on the US municipal bond market
Karpf, A., & Mandel, A. (2018) · Nature Climate Change · doi:10.1038/s41558-017-0062-0 · Cited by 340
A multidisciplinary survey on discrimination analysis
Romei, A., & Ruggieri, S. (2014) · The Knowledge Engineering Review · doi:10.1017/s0269888913000039 · Cited by 288
Small Business Loan Turndowns, Personal Wealth, and Discrimination*
Cavalluzzo, K., & Wolken, J. (2005) · The Journal of Business · doi:10.1086/497045 · Cited by 270
Metadata
- Authors
- Neumark, D.
- Venue
- The Journal of Human Resources
- Publisher
- JSTOR
- Published
- 1988
- Volume
- 23
- Issue
- 3
- Pages
- 279
- ISSN
- 0022-166X (ISSN-L)
- OpenAlex
- W3122812023
- Cited by
- 1,035
- References
- 0
- FWCI
- 12.04
- 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: Employers' Discriminatory Behavior and the Estimation of Wage Discrimination. https://app.cochat.ai/papers/10.2307/145830
- The paper
- Neumark, D. (1988). Employers' Discriminatory Behavior and the Estimation of Wage Discrimination. The Journal of Human Resources. https://doi.org/10.2307/145830
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.