The DOI matches its Crossref record.
Credit Crises, Precautionary Savings, and the Liquidity Trap*
Abstract
We study the effects of a credit crunch on consumer spending in a heterogeneous-agent incomplete-market model. After an unexpected permanent tightening in consumers’ borrowing capacity, constrained consumers are forced to repay their debt, and unconstrained consumers increase their precautionary savings. This depresses interest rates, especially in the short run, and generates an output drop, even with flexible prices. The output drop is larger with sticky prices, if the zero lower bound prevents the interest rate from adjusting downward. Adding durable goods to the model, households take larger debt positions and the output response can be larger.
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
Cited by
Monetary Policy and the Redistribution Channel
Auclert, A. (2019) · American Economic Review · doi:10.1257/aer.20160137 · Cited by 773
Household Debt and Business Cycles Worldwide*
Mian, A., Sufi, A., & Verner, E. (2017) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx017 · Cited by 756
The Power of Forward Guidance Revisited
McKay, A., Nakamura, E., & Steinsson, J. (2016) · American Economic Review · doi:10.1257/aer.20150063 · Cited by 548
Firm Leverage, Consumer Demand, and Employment Losses During the Great Recession*
Giroud, X., & Mueller, H. M. (2017) · The Quarterly Journal of Economics · doi:10.1093/qje/qjw035 · Cited by 406
A Model of Secular Stagnation: Theory and Quantitative Evaluation
Eggertsson, G. B., Mehrotra, N. R., & Robbins, J. A. (2019) · American Economic Journal: Macroeconomics · doi:10.1257/mac.20170367 · Cited by 405
Metadata
- Authors
- Guerrieri, V., & Lorenzoni, G.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-03-15
- Volume
- 132
- Issue
- 3
- Pages
- 1427-1467
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2121414958
- Cited by
- 564
- References
- 0
- FWCI
- 92.78
- Type
- journal article
- Language
- en
- Open access
- closed
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 Crises, Precautionary Savings, and the Liquidity Trap*. https://app.cochat.ai/papers/10.1093/qje/qjx005
- The paper
- Guerrieri, V., & Lorenzoni, G. (2017). Credit Crises, Precautionary Savings, and the Liquidity Trap*. The Quarterly Journal of Economics. https://doi.org/10.1093/qje/qjx005
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.