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The relevance of real-time data in estimating reaction functions for the euro area

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  • Gerdesmeier, Dieter
  • Roffia, Barbara

Abstract

This paper tackles the issue of the incompleteness of information available to the central bank when taking its monetary policy decisions. It is focused on euro area data and based on the simplistic assumption of the central bank following a simple monetary policy rule à-la-Taylor. Along the lines of the work by Orphanides (2001), our aim is to assess whether estimates of reaction functions which are carried out using revised data for the euro area can be misleading. In essence, the analysis yields indications which are consistent with the findings by Orphanides for the United States. First of all, the results found suggest that it would be preferable for a central bank not to attach too much weight on output gap measures in policy analysis, given that such measures are subject to large revisions over time. Moreover, the coefficients of a simple Taylor rule estimated in real time differ quite considerably from those related to the same rule estimated on the basis of ex post revised data. More precisely, a coefficient for inflation larger than one (which is a requirement for a unique equilibrium in many theoretical models) in real time is found only in case a forward-looking specification based on the Survey of Professional Forecasters is used. On the contrary, when using revised data, the same result is obtained if the Taylor rules include the current inflation rate. This shows how a misleading inference can occur when the appropriate available data are not taken into account. --

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Bibliographic Info

Article provided by Elsevier in its journal The North American Journal of Economics and Finance.

Volume (Year): 16 (2005)
Issue (Month): 3 (December)
Pages: 293-307

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Handle: RePEc:eee:ecofin:v:16:y:2005:i:3:p:293-307

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Web page: http://www.elsevier.com/locate/inca/620163

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  1. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
  2. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, 05.
  3. Coenen, Guenter & Levin, Andrew & Wieland, Volker, 2003. "Data Uncertainty and the Role of Money as an Information Variable for Monetary Policy," CFS Working Paper Series 2003/07, Center for Financial Studies (CFS).
  4. Dieter Gerdesmeier & Barbara Roffia, 2004. "Empirical Estimates of Reaction Functions for the Euro Area," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(I), pages 37-66, March.
  5. Orphanides, Athanasios, 2003. "Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 983-1022, July.
  6. Ullrich, Katrin, 2003. "A Comparison Between the Fed and the ECB: Taylor Rules," ZEW Discussion Papers 03-19, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  7. Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May.
  8. Athanasios Orphanides, 1998. "Monetary policy rules based on real-time data," Finance and Economics Discussion Series 1998-03, Board of Governors of the Federal Reserve System (U.S.).
  9. Gerdesmeier, Dieter & Roffia, Barbara, 2004. "Taylor rules for the euro area: the issue of real-time data," Discussion Paper Series 1: Economic Studies 2004,37, Deutsche Bundesbank, Research Centre.
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