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The Information Content of Money in Forecasting Euro Area Inflation Author info | Abstract | Publisher info | Download info | Related research | Statistics Helge Berger
Emil Stavrev
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This paper contributes to the debate on the role of money in monetary policy by analyzing the information content of money in forecasting euro-area inflation. We compare the predictive performance within and among various classes of structural and empirical models in a consistent framework using Bayesian and other estimation techniques. We find that money contains relevant information for inflation in some model classes. Money-based New Keynesian DSGE models and VARs incorporating money perform better than their cashless counterparts. But there are also indications that the contribution of money has its limits. The marginal contribution of money to forecasting accuracy is often small, money adds little to dynamic factor models, and it worsens forecasting accuracy of partial equilibrium models. Finally, non-monetary models dominate monetary models in an all-out horserace.
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Paper provided by International Monetary Fund in its series IMF Working Papers with number
08/166.
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Length: 29 pages
Date of creation: 09 Jul 2008Date of revision:
Handle: RePEc:imf:imfwpa:08/166Contact details of provider: Postal: International Monetary Fund, Washington, DC USA Phone: (202) 623-7000 Fax: (202) 623-4661 Email: Web page: http://www.imf.org/external/pubind.htm More information through EDIRC
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Keywords: Euro Area ; Money ; Inflation ; Forecasting models ; Monetary policy ; Economic models ; Other versions of this item:
This paper has been announced in the following NEP Reports :
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