The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach
Abstract
Using a Bayesian likelihood approach, we estimate a dynamic stochastic general equilibrium model for the US economy using seven macroeconomic time series. The model incorporates many types of real and nominal frictions and seven types of structural shocks. We show that this model is able to compete with Bayesian Vector Autoregression models in out-of-sample prediction. We investigate the relative empirical importance of the various frictions. Finally, using the estimated model, we address a number of key issues in business cycle analysis: What are the sources of business cycle fluctuations? Can the model explain the cross correlation between output and inflation? What are the effects of productivity on hours worked? What are the sources of the “Great Moderation”? (JEL D58, E23, E31, E32)
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
Discretion versus policy rules in practice
Taylor, J. B. (1993) · Carnegie-Rochester Conference Series on Public Policy · doi:10.1016/0167-2231(93)90009-l · Cited by 9,065
General methods for monitoring convergence of iterative simulations
Brooks, S. P., & Gelman, A. (1998) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1998.10474787 · Cited by 6,045
Cited by
Monetary Policy Surprises, Credit Costs, and Economic Activity
Gertler, M., & Karadi, P. (2015) · American Economic Journal: Macroeconomics · doi:10.1257/mac.20130329 · Cited by 1,455
Fiscal Volatility Shocks and Economic Activity
Fernández-Villaverde, J., Guerrón-Quintana, P., Kuester, K., & Rubio-Ramírez, J. (2015) · American Economic Review · doi:10.1257/aer.20121236 · Cited by 938
Prior Selection for Vector Autoregressions
Giannone, D., Lenza, M., & Primiceri, G. E. (2015) · Review of Economics and Statistics · doi:10.1162/rest_a_00483 · Cited by 710
Coibion, O., Gorodnichenko, Y., & Wieland, J. (2012) · The Review of Economic Studies · doi:10.1093/restud/rds013 · Cited by 359
Have We Underestimated the Likelihood and Severity of Zero Lower Bound Events?
CHUNG, H., LAFORTE, J., REIFSCHNEIDER, D., & WILLIAMS, J. C. (2012) · Journal of Money, Credit and Banking · doi:10.1111/j.1538-4616.2011.00478.x · Cited by 278
Metadata
- Authors
- Smets, F., & Wouters, R.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2007-05-01
- Volume
- 97
- Issue
- 3
- Pages
- 586-606
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3123970111
- Cited by
- 4,611
- References
- 2
- FWCI
- 337.61
- 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: Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach. https://app.cochat.ai/papers/10.1257/aer.97.3.586
- The paper
- Smets, F., & Wouters, R. (2007). Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach. American Economic Review. https://doi.org/10.1257/aer.97.3.586
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.