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

References

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  1. Glenn D. Rudebusch, 1995. "Federal Reserve interest rate targeting, rational expectations, and the term structure," Working Papers in Applied Economic Theory 95-02, Federal Reserve Bank of San Francisco.
  2. Athanasios Orphanides, 1998. "Monetary policy evaluation with noisy information," Finance and Economics Discussion Series 1998-50, Board of Governors of the Federal Reserve System (U.S.).
  3. 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.).
  4. Chan G. Huh & Kevin J. Lansing, 1998. "Federal Reserve credibility and inflation scares," Economic Review, Federal Reserve Bank of San Francisco, pages 3-16.
  5. 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.
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Citations

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Cited by:
  1. George Monokroussos, 2011. "Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 519-534, 03.
  2. 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.
  3. 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.
  4. Huefner, Felix P & Friedrich Heinemann, 2003. "Is the View from the Eurotower Purely European? - National Divergence and ECB Interest Rate Policy," Royal Economic Society Annual Conference 2003 110, Royal Economic Society.
  5. 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.
  6. 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.
  7. 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.
  8. Dong He & Laurent Pauwels, 2008. "What Prompts the People's Bank of China to Change its Monetary Policy Stance? Evidence from a Discrete Choice Model," Working Papers 0806, Hong Kong Monetary Authority.
  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. 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.
  11. 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.
  12. 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.

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