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Threshold effects in the monetary policy reaction function of the Deutsche Bundesbank

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  • Mandler, Martin

Abstract

We estimate monetary policy reaction functions with threshold effects for the Deutsche Bundesbank using a real-time data set. Estimates based on the deviation of inflation from the Bundesbank's inflation target as threshold variable suggest a switch to a stronger output gap response in the reaction function if past inflation was high. The reaction function in the regime with higher inflation implies an overall less contractionary monetary policy than that for the low inflation regime. A modified model with three regimes shows this result to be related to periods of substantial excess inflation. We explore a threshold reaction function with a moving inflation target that captures a gradual adjustment of an intermediate to a long-term inflation target and find the Bundesbank to follow a more restrictive monetary policy stance if inflation is above the intermediate-term inflation target.

Suggested Citation

  • Mandler, Martin, 2011. "Threshold effects in the monetary policy reaction function of the Deutsche Bundesbank," MPRA Paper 32430, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:32430
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    1. Stephan Sauer & Jan‐Egbert Sturm, 2007. "Using Taylor Rules to Understand European Central Bank Monetary Policy," German Economic Review, Verein für Socialpolitik, vol. 8(3), pages 375-398, August.
    2. Caner, Mehmet & Hansen, Bruce E., 2004. "Instrumental Variable Estimation Of A Threshold Model," Econometric Theory, Cambridge University Press, vol. 20(5), pages 813-843, October.
    3. Christopher Martin & Costas Milas, 2004. "Modelling Monetary Policy: Inflation Targeting in Practice," Economica, London School of Economics and Political Science, vol. 71(281), pages 209-221, May.
    4. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    5. Bec Frédérique & Ben Salem Mélika & Collard Fabrice, 2002. "Asymmetries in Monetary Policy Reaction Function: Evidence for U.S. French and German Central Banks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-22, July.
    6. Alex Cukierman, 1992. "Central Bank Strategy, Credibility, and Independence: Theory and Evidence," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262031981, December.
    7. Cukierman, Alex & Meltzer, Allan H, 1986. "A Theory of Ambiguity, Credibility, and Inflation under Discretion and Asymmetric Information," Econometrica, Econometric Society, vol. 54(5), pages 1099-1128, September.
    8. Castro, Vitor, 2008. "Are Central Banks following a linear or nonlinear (augmented) Taylor rule?," Economic Research Papers 269883, University of Warwick - Department of Economics.
    9. Helle Bunzel & Walter Enders, 2010. "The Taylor Rule and “Opportunistic” Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 931-949, August.
    10. Kenneth Petersen, 2007. "Does the Federal Reserve Follow a Non-Linear Taylor Rule?," Working papers 2007-37, University of Connecticut, Department of Economics.
    11. 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.
    12. von Hagen, J., 1998. "Money Growth Targeting," Papers 643, Stockholm - International Economic Studies.
    13. Gerberding, Christina & Seitz, Franz & Worms, Andreas, 2005. "How the Bundesbank really conducted monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 277-292, December.
    14. Jens Richard Clausen & Carsten-Patrick Meier, 2005. "Did the Bundesbank Follow a Taylor Rule? An Analysis Based on Real-Time Data," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(II), pages 213-246, June.
    15. Aksoy, Yunus & Orphanides, Athanasios & Small, David & Wieland, Volker & Wilcox, David, 2006. "A quantitative exploration of the opportunistic approach to disinflation," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1877-1893, November.
    16. Taylor Mark P. & Davradakis Emmanuel, 2006. "Interest Rate Setting and Inflation Targeting: Evidence of a Nonlinear Taylor Rule for the United Kingdom," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-20, December.
    17. Andreas Beyer & Vitor Gaspar & Christina Gerberding & Otmar Issing, 2013. "Opting Out of the Great Inflation: German Monetary Policy after the Breakdown of Bretton Woods," NBER Chapters, in: The Great Inflation: The Rebirth of Modern Central Banking, pages 301-346, National Bureau of Economic Research, Inc.
    18. von Hagen, Jurgen, 1999. "Money growth targeting by the Bundesbank," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 681-701, June.
    19. Stephan Sauer & Jan‐Egbert Sturm, 2007. "Using Taylor Rules to Understand European Central Bank Monetary Policy," German Economic Review, Verein für Socialpolitik, vol. 8(3), pages 375-398, August.
    20. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    21. Bomfim, Antulio N & Rudebusch, Glenn D, 2000. "Opportunistic and Deliberate Disinflation under Imperfect Credibility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(4), pages 707-721, November.
    22. 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.
    23. Boivin, Jean, 2006. "Has U.S. Monetary Policy Changed? Evidence from Drifting Coefficients and Real-Time Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1149-1173, August.
    24. Hansen Bruce E., 1997. "Inference in TAR Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(1), pages 1-16, April.
    25. Orphanides, Athanasios, 2003. "Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 983-1022, July.
    26. Schwartz, Anna J., 2003. "Comment on: Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 1023-1027, July.
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    Cited by:

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    More about this item

    Keywords

    Deutsche Bundesbank; monetary policy reaction function; threshold regression; instrumental variables; real-time data;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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