Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/60951 
Year of Publication: 
2008
Series/Report no.: 
Staff Report No. 321
Publisher: 
Federal Reserve Bank of New York, New York, NY
Abstract: 
Policy analysis with potentially misspecified dynamic stochastic general equilibrium (DSGE) models faces two challenges: estimation of parameters that are relevant for policy trade-offs and treatment of estimated deviations from the cross-equation restrictions. This paper develops and explores policy analysis approaches that are based on either the generalized shock structure for the DSGE model or the explicit modeling of deviations from cross-equation restrictions. Using post-1982 U.S. data, we first quantify the degree of misspecification in a state-of-the art DSGE model and then document the performance of different interest rate feedback rules. We find that many of the policy prescriptions derived from the benchmark DSGE model are robust to the various treatments of misspecifications considered in this paper, but that quantitatively the cost of deviating from such prescriptions varies substantially.
Subjects: 
Bayesian analysis
DSGE models
model misspecification
JEL: 
C32
Document Type: 
Working Paper

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