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The information content of money in forecasting Euro area inflation

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  • Berger, Helge
  • Stavrev, Emil

Abstract

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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Bibliographic Info

Paper provided by Free University Berlin, School of Business & Economics in its series Discussion Papers with number 2008/15.

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Date of creation: 2008
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Handle: RePEc:zbw:fubsbe:200815

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Keywords: Information content of money; inflation forecasting; New Keynesian model; DSGE model; P* model; Two-pillar Phillips curve; VAR model; general dynamic factor model; Bayesian estimation; Euro area;

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Citations

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Cited by:
  1. Arto Kovanen, 2011. "Does Money Matter for Inflation in Ghana?," IMF Working Papers 11/274, International Monetary Fund.
  2. International Monetary Fund, 2010. "Commodity Prices and Inflation in the Middle East, North Africa, and Central Asia," IMF Working Papers 10/135, International Monetary Fund.
  3. Andrea Nobili, 2009. "Composite indicators for monetary analysis," Temi di discussione (Economic working papers) 713, Bank of Italy, Economic Research and International Relations Area.

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