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

Author

Listed:
  • Frank Smets

    (ECB, CEPR and University of Ghent)

  • Raf Wouters

    (National Bank of Belgium, Research Department)

Abstract
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”?

Suggested Citation

  • Frank Smets & Raf Wouters, 2007. "Shocks and Frictions in US Business Cycles : a Bayesian DSGE Approach," Working Paper Research 109, National Bank of Belgium.
    • Handle: RePEc:nbb:reswpp:200702-05
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    File URL: https://www.nbb.be/doc/ts/publications/wp/wp109en.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    DSGE models; monetary policy;

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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