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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.

Suggested Citation

  • Berger, Helge & Stavrev, Emil, 2008. "The information content of money in forecasting Euro area inflation," Discussion Papers 2008/15, Free University Berlin, School of Business & Economics.
    • Handle: RePEc:zbw:fubsbe:200815
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. International Monetary Fund, 2010. "Commodity Prices and Inflation in the Middle East, North Africa, and Central Asia," IMF Working Papers 2010/135, International Monetary Fund.
    2. Zivile Zekaite & Gabe de Bondt & Elke Hahn, 2017. "Alice: A New Inflation Monitoring Tool," EcoMod2017 10414, EcoMod.
    3. Gianni Amisano & Roberta Colavecchio, 2013. "Money Growth and Inflation: evidence from a Markov Switching Bayesian VAR," Macroeconomics and Finance Series 201304, University of Hamburg, Department of Socioeconomics.
    4. Mr. Helge Berger & Mr. Thomas Harjes & Mr. Emil Stavrev, 2008. "The ECB’s Monetary Analysis Revisited," IMF Working Papers 2008/171, International Monetary Fund.
    5. Claudiu Tiberiu Albulescu & Daniel Goyeau & Cornel Oros, 2015. "On the Long Run Money-Prices Relationship in CEE Countries," Economic Research Guardian, Weissberg Publishing, vol. 5(1), pages 73-96, June.
    6. Berger, Helge & Harjes, Thomas & Stavrev, Emil, 2008. "The ECB's monetary analysis revisited," Discussion Papers 2008/14, Free University Berlin, School of Business & Economics.
    7. José De Gregorio, 2008. "Price Stability and Financial Stability: Some Thoughts on the Current Global Financial Crisis," Economic Policy Papers Central Bank of Chile 28, Central Bank of Chile.
    8. Mr. Arto Kovanen, 2011. "Does Money Matter for Inflation in Ghana?," IMF Working Papers 2011/274, International Monetary Fund.
    9. Mr. Nils O Maehle, 2020. "Monetary Policy Implementation: Operational Issues for Countries with Evolving Monetary Policy Frameworks," IMF Working Papers 2020/026, International Monetary Fund.
    10. 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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    More about this item

    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;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General

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