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Cited by 731

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market

Open access
DELL’ARICCIA, GIOVANNI, IGAN, DENIZ, LAEVEN, LUC·2012·Journal of Money, Credit and Banking

Abstract

This paper links the U.S. subprime mortgage crisis to demand‐side factors that contributed to the rapid expansion of the U.S. mortgage market. We show that denial rates were relatively lower in areas that experienced faster credit demand growth and that lenders in these high‐growth areas attached less weight to applicants’ loan‐to‐income ratios. The results are robust to controlling for supply‐side factors, including house price appreciation, mortgage securitization, and other economic fundamentals, and to several robustness tests controlling for endogeneity. The results are consistent with the notion that a relaxation of lending standards, triggered by an increased demand for loans, contributed to the boom and the ensuing crisis, together with other supply‐side explanations. These findings shed new light on the relationship between credit booms and financial instability.

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Crossref · 10.1111/j.1538-4616.2011.00491.x

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Metadata

Authors
DELL’ARICCIA, G., IGAN, D., & LAEVEN, L.
Venue
Journal of Money, Credit and Banking
Publisher
Wiley
Published
2012-03
Volume
44
Issue
2-3
Pages
367-384
ISSN
  • 0022-2879 (ISSN-L)
  • 1538-4616
OpenAlex
W3122873245
Cited by
731
References
37
FWCI
160.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market. https://app.cochat.ai/papers/10.1111/j.1538-4616.2011.00491.x
The paper
DELL’ARICCIA, G., IGAN, D., & LAEVEN, L. (2012). Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market. Journal of Money, Credit and Banking. https://doi.org/10.1111/j.1538-4616.2011.00491.x

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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.