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Cited by 373

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Estimating the Returns to College Quality with Multiple Proxies for Quality

Black, Dan A., Smith, Jeffrey A.·2006·Journal of Labor Economics

Abstract

Existing studies of the effects of college quality on wages typically rely on a single proxy variable for college quality. This study questions the wisdom of using a single proxy given that it likely contains substantial measurement error. We consider four econometric approaches to the problem that involve the use of multiple proxies for college quality: factor analysis, instruments variables, a method recently proposed by Lubotsky and Wittenberg, and a GMM estimator. Our estimates suggest that the existing literature understates the wage effects of college quality and illustrate the value of using multiple proxies in this and other similar contexts.

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Metadata

Authors
Black, D. A., & Smith, J. A.
Venue
Journal of Labor Economics
Published
2006-07
Volume
24
Issue
3
Pages
701-728
ISSN
  • 0734-306X (ISSN-L)
  • 1537-5307
OpenAlex
W2059729140
Cited by
373
References
4
FWCI
21.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating the Returns to College Quality with Multiple Proxies for Quality. https://app.cochat.ai/papers/10.1086/505067
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Black, D. A., & Smith, J. A. (2006). Estimating the Returns to College Quality with Multiple Proxies for Quality. Journal of Labor Economics. https://doi.org/10.1086/505067

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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.