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Empirical and policy performance of a forward-looking monetary model

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  • Alexei Onatski
  • Noah Williams

Abstract

In this paper we consider the policy implications of a fully specified dynamic general equilibrium model, developed by Smets and Wouters (2003a). This is a relatively large-scale forward looking model, which was shown to provide a good fit to the data. However there has been little previous work analyzing monetary policy within such a model. We first re-examine the empirical performance of the model. We show that systematically accounting for prior uncertainty leads to substantially different parameter estimates. However many of the qualitative features of the model remain similar under the alternative estimates that we find. We then formulate and analyze optimal policy rules in the model. In addition a standard, but ad hoc, loss function we derive and justify a utility-based loss function for the model. We determine the optimal equilibrium dynamics under both loss functions and under both sets of parameter estimates. Then we discuss alternative ways of implementing the optimal equilibrium. We find that there is much scope for indeterminacy in the model, and that optimal policy rules developed for one set of estimates may perform poorly if the economy is governed by the other set. We finally turn to the analysis of simple policy rules, finding that for the simple loss function these rules perform relatively well and are robust to different parameter estimates. Overall, our results suggest that the model may be relatively robust in its ability to capture certain aspects of the data. However some caution should be exercised in using the structural estimates, and in particular it may be dangerous to pursue fully optimal policy in such complex models.

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Bibliographic Info

Article provided by Federal Reserve Bank of San Francisco in its journal Proceedings.

Volume (Year): (2004)
Issue (Month): Mar ()
Pages:

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Handle: RePEc:fip:fedfpr:y:2004:i:mar:x:6

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Keywords: Interest rates ; Monetary policy;

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References

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  1. Söderlind, Paul, 1998. "Solution and Estimation of RE Macromodels with Optimal Policy," Working Paper Series in Economics and Finance 256, Stockholm School of Economics.
  2. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
  3. Jinill Kim & Sunghyun Kim & Ernst Schaumburg & Christopher A. Sims, 2003. "Calculating and Using Second Order Accurate Solutions of Discrete Time," Levine's Bibliography 666156000000000284, UCLA Department of Economics.
  4. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper 0107, Federal Reserve Bank of Cleveland.
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  10. Alexei Onatski & Noah Williams, 2003. "Modeling Model Uncertainty," NBER Working Papers 9566, National Bureau of Economic Research, Inc.
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