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Does money lead inflation in the euro area?

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  • Nicoletti-Altimari, Sergio

Abstract

This paper investigates the properties of monetary and credit aggregates as indicators for future price developments in the euro area. The forecasting performance of models including indicators based on money and credit is assessed in a simulated out-of-sample forecasting exercise for forecast horizons varying from one quarter to three years ahead. The performance of these models is compared with that of models which include indicators based on financial markets, real activity, the labour market and various cost and price measures. The results support the idea that monetary and credit aggregates provide significant and independent information for future price developments in the euro area, especially at medium term horizons JEL Classification: E31, E40, C32

Suggested Citation

  • Nicoletti-Altimari, Sergio, 2001. "Does money lead inflation in the euro area?," Working Paper Series 0063, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20010063
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    1. McKinnon, Ronald I, 1982. "Currency Substitution and Instability in the World Dollar Standard," American Economic Review, American Economic Association, vol. 72(3), pages 320-333, June.
    2. Elena Angelini & Jérôme Henry & Ricardo Mestre, 2001. "Diffusion index-based inflation forecasts for the euro area," BIS Papers chapters,in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 109-138 Bank for International Settlements.
    3. Orphanides, Athanasios & Porter, Richard D., 2000. "P revisited: money-based inflation forecasts with a changing equilibrium velocity," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 87-100.
    4. Lars E. O. Svensson, 2000. "Does the P* Model Provide Any Rationale for Monetary Targeting?," German Economic Review, Verein für Socialpolitik, vol. 1(1), pages 69-81, February.
    5. G. Coenen & J.-L. Vega, 2001. "The demand for M3 in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 727-748.
    6. Svensson, Lars E. O. & Woodford, Michael, 2003. "Indicator variables for optimal policy," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 691-720, April.
    7. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    8. Hallman, Jeffrey J & Porter, Richard D & Small, David H, 1991. "Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run?," American Economic Review, American Economic Association, vol. 81(4), pages 841-858, September.
    9. Gerlach, Stefan & Svensson, Lars E. O., 2003. "Money and inflation in the euro area: A case for monetary indicators?," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1649-1672, November.
    10. Browne, F.X. & Fagan, G. & Henry, J., 1997. "Money Demand in EU Countries : A Survey," Papers 7, European Monetary Institute.
    11. Francis X. Diebold & Lutz Kilian, 2001. "Measuring predictability: theory and macroeconomic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 657-669.
    12. van Bergeijk, Peter A. G. & Berk, Jan Marc, 2000. "Is the yield curve a useful Information variable for the Eurosystem?," Working Paper Series 0011, European Central Bank.
    13. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    14. Gabriel Fagan & JÊrÆme Henry, 1998. "Long run money demand in the EU: Evidence for area-wide aggregates," Empirical Economics, Springer, vol. 23(3), pages 483-506.
    15. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
    16. van Zandweghe, Willem & Martinez Rico, Felipe & Gottschalk, Jan, 2000. "Money as an Indicator in the Euro Zone," Kiel Working Papers 984, Kiel Institute for the World Economy (IfW).
    17. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2003. "Macroeconomic forecasting in the Euro area: Country specific versus area-wide information," European Economic Review, Elsevier, vol. 47(1), pages 1-18, February.
    18. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 453-473.
    19. Friedman, Benjamin M & Kuttner, Kenneth N, 1992. "Money, Income, Prices, and Interest Rates," American Economic Review, American Economic Association, vol. 82(3), pages 472-492, June.
    20. Brand, Claus & Cassola, Nuno, 2000. "A money demand system for euro area M3," Working Paper Series 0039, European Central Bank.
    21. Fagan, Gabriel & Henry, Jerome & Mestre, Ricardo, 2005. "An area-wide model for the euro area," Economic Modelling, Elsevier, vol. 22(1), pages 39-59, January.
    22. Ericsson, Neil R., 1992. "Parameter constancy, mean square forecast errors, and measuring forecast performance: An exposition, extensions, and illustration," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 465-495, August.
    23. Engert, Walter & Selody, Jack, 1998. "Uncertainty and Multiple Paradigms of the Transmission Mechanism," Staff Working Papers 98-7, Bank of Canada.
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    More about this item

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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