The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Policies for Macrofinancial Stability: How to Deal with Credit Booms
Open accessAbstract
This note explores the costs and benefits of different policy options to reduce the risks associated with credit booms, drawing upon several country experiences and the findings from econometric analysis.
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
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
Cited by
The use and effectiveness of macroprudential policies: New evidence
Cerutti, E., Claessens, S., & Laeven, L. (2017) · Journal of Financial Stability · doi:10.1016/j.jfs.2015.10.004 · Cited by 1,163
Self-citationSystemic Banking Crises Database II
Laeven, L., & Valencia, F. (2020) · IMF Economic Review · doi:10.1057/s41308-020-00107-3 · Cited by 1,123
Self-citationEffect of financial development on economic growth in Sub-Saharan Africa
Ibrahim, M., & Alagidede, P. (2018) · Journal of Policy Modeling · doi:10.1016/j.jpolmod.2018.08.001 · Cited by 323
Metadata
- Authors
- Bakker, B., Dell'Ariccia, G., Laeven, L., Vandenbussche, J., Igan, D., Tong, H., BBakker@imf.org, GDell'Ariccia@imf.org, LLaeven@imf.org, JVandenbussche@imf.org, DIgan@imf.org, & HTong@imf.org
- Venue
- Staff Discussion Notes
- Publisher
- International Monetary Fund (IMF)
- Published
- 2012
- Volume
- 12
- Issue
- 06
- Pages
- 1
- ISSN
- 2221-030X (ISSN-L)
- OpenAlex
- W213828821
- Cited by
- 323
- References
- 2
- FWCI
- 50.94
- 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: Policies for Macrofinancial Stability: How to Deal with Credit Booms. https://app.cochat.ai/papers/10.5089/9781475504743.006
- The paper
- Bakker, B., Dell'Ariccia, G., Laeven, L., Vandenbussche, J., Igan, D., Tong, H., BBakker@imf.org, GDell'Ariccia@imf.org, LLaeven@imf.org, JVandenbussche@imf.org, DIgan@imf.org, & HTong@imf.org. (2012). Policies for Macrofinancial Stability: How to Deal with Credit Booms. Staff Discussion Notes. https://doi.org/10.5089/9781475504743.006
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.