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Measuring monetary policy inertia in target Fed funds rate changes

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  • Michael Dueker

Abstract

Recent research has grappled with an apparent paradox: Why would a central bank that is focused primarily on inflation control exhibit signs of inertia when making policy adjustments? In this article, Michael Dueker argues that fully characterizing the policy inertia is a precondition towards resolving the apparent paradox. This article presents empirical estimates of adjustments to the target fed funds rate that take into account two facets of policy inertia: a partial-adjustment mechanism and thresholds for making discrete changes to the target fed funds rate. With a more complete picture of the policy inertia, subsequent research can investigate whether policy appears to display either too much or the right amount of inertia.

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Bibliographic Info

Article provided by Federal Reserve Bank of St. Louis in its journal Review.

Volume (Year): (1999)
Issue (Month): Sep ()
Pages: 3-10

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Handle: RePEc:fip:fedlrv:y:1999:i:sep:p:3-10:n:v.81no.5

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Related research

Keywords: Monetary policy ; Federal funds rate ; Federal Open Market Committee;

References

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  1. Chan G. Huh & Kevin J. Lansing, 1998. "Federal Reserve credibility and inflation scares," Economic Review, Federal Reserve Bank of San Francisco, pages 3-16.
  2. Orphanides, Athanasios, 2003. "Monetary policy evaluation with noisy information," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 605-631, April.
  3. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
  4. Brian Sack, 1998. "Does the Fed act gradually? a VAR analysis," Finance and Economics Discussion Series 1998-17, Board of Governors of the Federal Reserve System (U.S.).
  5. Rudebusch, Glenn D., 1995. "Federal Reserve interest rate targeting, rational expectations, and the term structure," Journal of Monetary Economics, Elsevier, vol. 35(2), pages 245-274, April.
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Citations

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Cited by:
  1. Sjoerd van den Hauwe & Dick van Dijk & Richard Paap, 2011. "Bayesian Forecasting of Federal Funds Target Rate Decisions," Tinbergen Institute Discussion Papers 11-093/4, Tinbergen Institute.
  2. Isela Elizabeth Téllez León & Francisco Venegas Martínez, 2013. "Principales determinantes en las decisiones de política monetaria de México: un análisis econométrico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 28(1), pages 79-108.
  3. Friedrich Heinemann & Felix P. Huefner, 2004. "Is The View From The Eurotower Purely European? - National Divergence And Ecb Interest Rate Policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(4), pages 544-558, 09.
  4. George Monokroussos, 2009. "A Classical MCMC Approach to the Estimation of Limited Dependent Variable Models of Time Series," Discussion Papers 09-07, University at Albany, SUNY, Department of Economics.
  5. Ullrich, Katrin, 2006. "An impact of country-specific economic developments on ECB decisions," ZEW Discussion Papers 06-49, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  6. George Monokroussos, 2006. "Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy," Discussion Papers 06-02, University at Albany, SUNY, Department of Economics.
  7. George Monokroussos, 2006. "A Dynamic Tobit Model for the Open Market Desk's Daily Reaction Function," Computing in Economics and Finance 2006 390, Society for Computational Economics.
  8. Grammig, Joachim & Kehrle, Kerstin, 2008. "A new marked point process model for the federal funds rate target: Methodology and forecast evaluation," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2370-2396, July.
  9. Ling Hu & Peter C.B. Phillips, 2002. "Dynamics of the Federal Funds Target Rate: A Nonstationary Discrete Choice Approach," Cowles Foundation Discussion Papers 1365, Cowles Foundation for Research in Economics, Yale University.
  10. Dong He & Laurent L. Pauwels, 2008. "What Prompts the People's Bank of China to Change Its Monetary Policy Stance? Evidence from a Discrete Choice Model," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 16(6), pages 1-21.
  11. Zhang, Xinyu & Lu, Zudi & Zou, Guohua, 2013. "Adaptively combined forecasting for discrete response time series," Journal of Econometrics, Elsevier, vol. 176(1), pages 80-91.
  12. Adrienne Kearney & Raymond Lombra, 2003. "Fed funds futures and the news," Atlantic Economic Journal, International Atlantic Economic Society, vol. 31(4), pages 330-337, December.

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