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

Business & Management

Journal of Stock & Forex Trading

Author(s): 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"?

This article was published in AMERICAN ECONOMIC REVIEW and referenced in Journal of Stock & Forex Trading

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