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Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Frank Smets
Rafael Wouters
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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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Article provided by American Economic Association in its journal American Economic Review .
Volume (Year): 97 (2007)
Issue (Month): 3 (June)
Pages: 586-606
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Handle: RePEc:aea:aecrev:v:97:y:2007:i:3:p:586-606Contact details of provider: Email: Web page: http://www.aeaweb.org/aer/ More information through EDIRC
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Paper Frank Smets & Rafael Wouters, 2007.
"Shocks and frictions in US business cycles: a Bayesian DSGE approach ,"
Working Paper Series
722, European Central Bank.
[Downloadable!] Frank Smets & Raf Wouters, 2007.
"Shocks and Frictions in US Business Cycles : a Bayesian DSGE Approach ,"
Research series
200702-05, National Bank of Belgium.
[Downloadable!] Smets, Frank & Wouters, Rafael, 2007.
"Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach ,"
CEPR Discussion Papers
6112, C.E.P.R. Discussion Papers.
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