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Parameter Instability, Model Uncertainty and the Choice of Monetary Policy Author info | Abstract | Publisher info | Download info | Related research | Statistics Carlo Favero (IGIER, Bocconi University and CEPR)
Fabio Milani (Princeton University)
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This paper starts from the observation that parameter instability and model uncertainty are relevant problems for the analysis of monetary policy in small macroeconomic models. We propose to deal with these two problems by implementing a novel "thick recursive modelling" approach. At each point in time we estimate all models generated by the combinations of a base-set of k observable regressors for aggregate demand and supply. We compute optimal monetary policies for all possible models and then consider alternative ways of summarizing their distribution. Our main results show that thick recursive modelling delivers optimal policy rates that track the observed policy rates better than the optimal policy rates obtained under a constant parameter specification with no role for model uncertainty.
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Article provided by Berkeley Electronic Press in its journal Topics in Macroeconomics .
Volume (Year): 5 (2005)
Issue (Month): 1 ()
Pages: 1208-1208
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Handle: RePEc:bep:mactop:v:5:y:2005:i:1:p:1208-1208Note: oai:bepress:bejm-1208Contact details of provider: Web page: http://www.bepress.com/bejm/topics/
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Keywords: model uncertainty optimal monetary policy interest rate smoothing Other versions of this item:
Find related papers by JEL classification: E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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