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 accessAbstract
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.
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
Cites
Kiyotaki, N., & Moore, J. (1997) · Journal of Political Economy · doi:10.1086/262072 · Cited by 4,694
Agency Costs, Net Worth, And Business Fluctuations
Bernanke, B., Gertler, M., Bernanke, B., & Gertler, M. (1988) · Unknown · doi:10.22004/ag.econ.292693 · Cited by 4,386
The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis*
Mian, A., & Sufi, A. (2009) · Quarterly Journal of Economics · doi:10.1162/qjec.2009.124.4.1449 · Cited by 2,087
The Theory of Bank Risk Taking and Competition Revisited
BOYD, J. H., & DE NICOLÓ, G. (2005) · The Journal of Finance · doi:10.1111/j.1540-6261.2005.00763.x · Cited by 2,084
Is There a Bubble in the Housing Market?
Case, K. E., & Shiller, R. J. (2003) · Brookings Papers on Economic Activity · doi:10.1353/eca.2004.0004 · Cited by 1,279
Bernanke, B. S., Lown, C. S., & Friedman, B. M. (1991) · Brookings Papers on Economic Activity · doi:10.2307/2534592 · Cited by 1,257
Collateral Damage: Effects of the Japanese Bank Crisis on Real Activity in the United States
Peek, J., & Rosengren, E. S. (2000) · American Economic Review · doi:10.1257/aer.90.1.30 · Cited by 1,186
Did Securitization Lead to Lax Screening? Evidence from Subprime Loans*
Keys, B. J., Mukherjee, T., Seru, A., & Vig, V. (2010) · Quarterly Journal of Economics · doi:10.1162/qjec.2010.125.1.307 · Cited by 1,092
Assessing High House Prices: Bubbles, Fundamentals and Misperceptions
Himmelberg, C., Mayer, C., & Sinai, T. (2005) · Journal of Economic Perspectives · doi:10.1257/089533005775196769 · Cited by 1,041
Mortgage Lending in Boston: Interpreting HMDA Data
Munnell, A. H., Tootell, G. M. B., Browne, L. E., & McEneaney, J. P. (1992) · American Economic Review · Cited by 996
Cited by
The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis*
Mian, A., & Sufi, A. (2009) · Quarterly Journal of Economics · doi:10.1162/qjec.2009.124.4.1449 · Cited by 2,087
Predictably Unequal? The Effects of Machine Learning on Credit Markets
Fuster, A., Goldsmith-Pinkham, P. S., Ramadorai, T., & Walther, A. (2017) · doi:10.2139/ssrn.3072038 · Cited by 769
Credit Supply and the Price of Housing
Favara, G., & Imbs, J. (2015) · American Economic Review · doi:10.1257/aer.20121416 · Cited by 621
Predictably Unequal? The Effects of Machine Learning on Credit Markets
FUSTER, A., GOLDSMITH‐PINKHAM, P., RAMADORAI, T., & WALTHER, A. (2022) · The Journal of Finance · doi:10.1111/jofi.13090 · Cited by 872
Financial innovation and endogenous growth
Laeven, L., Levine, R., & Michalopoulos, S. (2015) · Journal of Financial Intermediation · doi:10.1016/j.jfi.2014.04.001 · Cited by 534
Self-citation
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
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: 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
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.