Shocks and Frictions in US Business Cycles: a Bayesian DSGE Approach
Frank Smets and
Raf Wouters ()
No 109, Working Paper Research from National Bank of Belgium
Using a Bayesian likelihood approach, we estimate a dynamic stochastic general equilibrium model for the US economy using seven macro-economic 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”?
Keywords: DSGE models; monetary policy (search for similar items in EconPapers)
JEL-codes: E4 E5 (search for similar items in EconPapers)
Pages: 58 pages
New Economics Papers: this item is included in nep-cba, nep-dge and nep-mac
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Journal Article: Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach (2007)
Working Paper: Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach (2007)
Working Paper: Shocks and frictions in US business cycles: a Bayesian DSGE approach (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:nbb:reswpp:200702-05
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