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Which Predictor is the Best to Predict Inflation in Europe: the Real Money-gap or a Nominal Money Based Indicator?

  • Gilles Dufrénot
  • Roselyne Joyeux

    ()

    (Department of Economics, Macquarie University)

  • Anne Péguin-Feissolle

In the literature, two important views concerning the conduct of monetary policy are construed. One view is that the central banks’ monetary policy must be credible if the authorities want to curb inflation. A second view is that central banks set their monetary policy by using all the information relevant for inflation and output projections. In Europe, a controversy has emerged about the role of monetary aggregates as useful indicators of future inflation and output. On one hand, evidence in favour of the usefulness of nominal monetary aggregates as good predictors is provided by the literature. On the other hand, empirical evidence in favour of real money indicators is found. The purpose of this paper is to contribute to the ongoing debate on the role of money aggregates in the setting of monetary policy. The question we are interested in is whether the real money gap contains more information about future inflation in Europe, than an indicator based on the growth rate of nominal money. We use a panel data framework instead of the usual time series methods on aggregate Euro data.

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File URL: http://www.econ.mq.edu.au/research/2006/6_2006Joyeuxetal.pdf
File Function: First Version, 2006
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Paper provided by Macquarie University, Department of Economics in its series Research Papers with number 0606.

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Length: 29 pages.
Date of creation: Oct 2006
Date of revision:
Handle: RePEc:mac:wpaper:0606
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Web page: http://www.econ.mq.edu.au/

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  1. Nelson, Edward, 2001. "Direct Effects of Base Money on Aggregate Demand: Theory and Evidence," CEPR Discussion Papers 2666, C.E.P.R. Discussion Papers.
  2. Richard Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," NBER Working Papers 6442, National Bureau of Economic Research, Inc.
  3. 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.
  4. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  5. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," CEPR Discussion Papers 2139, C.E.P.R. Discussion Papers.
  6. Neumann, Manfred J. M. & Greiber, Claus, 2004. "Inflation and core money growth in the euro area," Discussion Paper Series 1: Economic Studies 2004,36, Deutsche Bundesbank, Research Centre.
  7. Roger Hammersland, 2004. "Who was in the driving seat in Europe during the nineties, International financial markets or the BUBA?," Working Paper 2004/20, Norges Bank.
  8. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  9. Arturo Estrella & Frederic S. Mishkin, 1996. "Is There a Role for Monetary Aggregates in the Conduct of Monetary Policy?," NBER Working Papers 5845, National Bureau of Economic Research, Inc.
  10. Peter Pedroni, 2001. "Purchasing Power Parity Tests in Cointegrated Panels," Department of Economics Working Papers 2001-01, Department of Economics, Williams College.
  11. Richard Clarida & Jordi Gali & Mark Gertler, 1997. "Monetary Policy Rules in Practice: Some International Evidence," NBER Working Papers 6254, National Bureau of Economic Research, Inc.
  12. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
  13. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, 06.
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