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

Version
1
Resource Type
Dataset
Creator
  • Smets, Frank
  • Wouters, Rafael
Publication Date
2007-01-04
Description
  • Abstract

    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)
Availability
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Relations
  • Is supplemented by
    DOI: 10.1257/aer.97.3.586 (Text)
Publications
  • Smets, Frank, and Rafael Wouters. “Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach.” American Economic Review 97, no. 3 (May 2007): 586–606. https://doi.org/10.1257/aer.97.3.586.
    • ID: 10.1257/aer.97.3.586 (DOI)

Update Metadata: 2020-01-29 | Issue Number: 1 | Registration Date: 2020-01-29

Smets, Frank; Wouters, Rafael (2007): Replication data for: Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E116269V1-22025