IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v16y2005i3p293-307.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Gerdesmeier, Dieter & Roffia, Barbara, 2005. "The relevance of real-time data in estimating reaction functions for the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 293-307, December.
  • Handle: RePEc:eee:ecofin:v:16:y:2005:i:3:p:293-307
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062-9408(05)00018-5
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
    4. 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, May.
    5. Coenen, Gunter & Levin, Andrew & Wieland, Volker, 2005. "Data uncertainty and the role of money as an information variable for monetary policy," European Economic Review, Elsevier, vol. 49(4), pages 975-1006, May.
    6. 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.
    7. Gerlach, Stefan & Schnabel, Gert, 2000. "The Taylor rule and interest rates in the EMU area," Economics Letters, Elsevier, vol. 67(2), pages 165-171, May.
    8. 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.
    9. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    10. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    11. 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.
    12. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 125-132.
    13. Michael Woodford, 1999. "Optimal monetary policy inertia," Proceedings, Federal Reserve Bank of San Francisco.
    14. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737, March.
    15. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    16. Gert Peersman & Frank Smets, 1999. "Uncertainty and the Taylor rule in a simple model of the Euro-area economy," Proceedings, Federal Reserve Bank of San Francisco.
    17. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, August.
    18. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1161-1187, September.
    19. Claus Brand & Dieter Gerdesmeier & Barbara Roffia, 2002. "Estimating the trend of M3 income velocity underlying the reference value for monetary growth," Occasional Paper Series 03, European Central Bank.
    20. Gerdesmeier, Dieter & Roffia, Barbara, 2003. "Empirical estimates of reaction functions for the euro area," Working Paper Series 206, European Central Bank.
    21. Orphanides, Athanasios, 2003. "Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 983-1022, July.
    22. Favero, Carlo A., 2001. "Applied Macroeconometrics," OUP Catalogue, Oxford University Press, number 9780198296850.
    23. Gert Schnabel & Stefan Gerlach, 1999. "The Taylor rule and interest rates in the EMU area: a note," BIS Working Papers 73, Bank for International Settlements.
    24. Jon Faust & John H. Rogers & Jonathan H. Wright, 2001. "An empirical comparison of Bundesbank and ECB monetary policy rules," International Finance Discussion Papers 705, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecofin:v:16:y:2005:i:3:p:293-307. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/620163 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.