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

  • Frank Smets
  • Rafael Wouters

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:586-606
Note: DOI: 10.1257/aer.97.3.586
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  23. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393 Elsevier.
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