Model Uncertainty and Policy Evaluation: Some Theory and Empirics

William Brock, Steven Durlauf and Kenneth West ()

No 10916, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper explores ways to integrate model uncertainty into policy evaluation. We first describe a general framework for the incorporation of model uncertainty into standard econometric calculations. This framework employs Bayesian model averaging methods that have begun to appear in a range of economic studies. Second, we illustrate these general ideas in the context of assessment of simple monetary policy rules for some standard New Keynesian specifications. The specifications vary in their treatment of expectations as well as in the dynamics of output and inflation. We conclude that the Taylor rule has good robustness properties, but may reasonably be challenged in overall quality with respect to stabilization by alternative simple rules that also condition on lagged interest rates, even though these rules employ parameters that are set without accounting for model uncertainty.

JEL-codes: C5 E5 (search for similar items in EconPapers)
Date: 2004-11
New Economics Papers: this item is included in nep-ecm
Note: EFG ME
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Citations: View citations in EconPapers (26)

Published as William Brock & Steven Durlauf & Kenneth West, 2005. "Model uncertainty and policy evaluation: some theory and empirics," Proceedings, Federal Reserve Bank of San Francisco.
Published as Brock, William A. & Durlauf, Steven N. & West, Kenneth D., 2007. "Model uncertainty and policy evaluation: Some theory and empirics," Journal of Econometrics, Elsevier, vol. 136(2), pages 629-664, February.

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Related works:
Journal Article: Model uncertainty and policy evaluation: Some theory and empirics (2007)
Journal Article: Model uncertainty and policy evaluation: some theory and empirics (2005)
Working Paper: Model uncertainty and policy evaluation: some theory and empirics (2004)
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