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Cited by 4,611

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Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach

Smets, Frank, Wouters, Rafael·2007·American Economic Review

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)

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Metadata

Authors
Smets, F., & Wouters, R.
Venue
American Economic Review
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

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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
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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

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