The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Hazardous Times for Monetary Policy: What Do Twenty-Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk-Taking?
Open accessAbstract
We identify the effects of monetary policy on credit risk-taking with an exhaustive credit register of loan applications and contracts. We separate the changes in the composition of the supply of credit from the concurrent changes in the volume of supply and quality, and the volume of demand. We employ a two-stage model that analyzes the granting of loan applications in the first stage and loan outcomes for the applications granted in the second stage, and that controls for both observed and unobserved, time-varying, firm and bank heterogeneity through time*firm and time*bank fixed effects. We find that a lower overnight interest rate induces lowly capitalized banks to grant more loan applications to ex ante risky firms and to commit larger loan volumes with fewer collateral requirements to these firms, yet with a higher ex post likelihood of default. A lower long-term interest rate and other relevant macroeconomic variables have no such effects.
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
Credit Rationing in Markets with Imperfect Information
Stiglitz, J. E., & Weiss, A. (1981) · Columbia University · doi:10.7916/d8v12ft1 · Cited by 12,769
Financial intermediation and delegated monitoring
Diamond, D. W. (1984) · The Review of Economic Studies · doi:10.2307/2297430 · Cited by 8,476
Microeconometrics: Methods and Applications
Cameron, A. C., & Trivedi, P. K. (2005) · doi:10.1017/cbo9780511811241 · Cited by 8,092
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. (1994) · doi:10.3386/t0151 · Cited by 5,302
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
Inside the black box: the credit channel of monetary policy transmission
Bernanke, B. S., & Gertler, M. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.27 · Cited by 4,211
Monetary policy, business cycles, and the behavior of small manufacturing firms
Gertler, M., & Gilchrist, S. (1994) · The Quarterly Journal of Economics · doi:10.2307/2118465 · Cited by 2,547
The financial accelerator, and the flight to quality
Bernanke, B., Gertler, M., & Gilchrist, S. (1996) · The Review of Economics and Statistics · doi:10.2307/2109844 · Cited by 2,351
Pace, N. R. (2006) · Nature · doi:10.1038/441289a · Cited by 276
Cited by
Monetary stimulus and bank lending
Chakraborty, I., Goldstein, I., & MacKinlay, A. (2020) · Journal of Financial Economics · doi:10.1016/j.jfineco.2019.09.007 · Cited by 259
SME credit constraints in Asia’s rising economic star: fresh empirical evidence from Vietnam
Nguyen, L. T., Su, J.-J., & Sharma, P. (2019) · Applied Economics · doi:10.1080/00036846.2019.1569196 · Cited by 27
Metadata
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2014
- Volume
- 82
- Issue
- 2
- Pages
- 463-505
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W3049243281
- Cited by
- 1,325
- References
- 9
- FWCI
- 180.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Hazardous Times for Monetary Policy: What Do Twenty-Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk-Taking? https://app.cochat.ai/papers/10.3982/ecta10104
- The paper
- Hazardous Times for Monetary Policy: What Do Twenty-Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk-Taking? (2014). Econometrica. https://doi.org/10.3982/ecta10104
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.