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Cited by 894

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Employer Learning and Statistical Discrimination

Altonji, J. G., Pierret, C. R.·2001·The Quarterly Journal of Economics

Abstract

We show that if firms statistically discriminate among young workers on the basis of easily observable characteristics such as education, then as firms learn about productivity, the coefficients on the easily observed variables should fall, and the coefficients on hard-to-observe correlates of productivity should rise. We find support for this proposition using NLSY79 data on education, the AFQT test, father's education, and wages for young men and their siblings. We find little evidence for statistical discrimination in wages on the basis of race. Our analysis has a wide range of applications in the labor market and elsewhere.

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Metadata

Authors
Altonji, J. G., & Pierret, C. R.
Venue
The Quarterly Journal of Economics
Published
2001-02-01
Volume
116
Issue
1
Pages
313-350
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2161800660
Cited by
894
References
32
FWCI
48.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Employer Learning and Statistical Discrimination. https://app.cochat.ai/papers/10.1162/003355301556329
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Altonji, J. G., & Pierret, C. R. (2001). Employer Learning and Statistical Discrimination. The Quarterly Journal of Economics. https://doi.org/10.1162/003355301556329

Data sources

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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.