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Cited by 536

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Estimation of Educational Borrowing Constraints Using Returns to Schooling

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Cameron, Stephen V., Taber, Christopher·2004·Journal of Political Economy

Abstract

This paper measures the importance of borrowing constraints on education decisions. Empirical identification of borrowing constraints is secured by the economic prediction that opportunity costs and direct costs of schooling affect borrowing‐constrained and unconstrained persons differently. Direct costs need to be financed during school and impose a larger burden on credit‐constrained students. By contrast, gross forgone earnings do not have to be financed. We explore the implications of this idea using four methodologies: schooling attainment models, instrumental variable wage regressions, and two structural economic models that integrate both schooling choices and schooling returns into a unified framework. None of the methods produces evidence that borrowing constraints generate inefficiencies in the market for schooling in the current policy environment. We conclude that, on the margin, additional policies aimed at improving credit access will have little impact on schooling attainment.

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Metadata

Authors
Cameron, S. V., & Taber, C.
Venue
Journal of Political Economy
Published
2004-02
Volume
112
Issue
1
Pages
132-182
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
OpenAlex
W2107623883
Cited by
536
References
3
FWCI
108.12
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Estimation of Educational Borrowing Constraints Using Returns to Schooling. https://app.cochat.ai/papers/10.1086/379937
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Cameron, S. V., & Taber, C. (2004). Estimation of Educational Borrowing Constraints Using Returns to Schooling. Journal of Political Economy. https://doi.org/10.1086/379937

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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.