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Measuring monetary policy inertia in target Fed funds rate changes

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  • Michael J. 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.

Suggested Citation

  • Michael J. Dueker, 1999. "Measuring monetary policy inertia in target Fed funds rate changes," Review, Federal Reserve Bank of St. Louis, vol. 81(Sep), pages 3-10.
    • Handle: RePEc:fip:fedlrv:y:1999:i:sep:p:3-10:n:v.81no.5
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    1. Brian P. 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.).
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    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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    Cited by:

    1. 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.
    2. Bayar, Omer, 2018. "Weak instruments and estimated monetary policy rules," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 308-317.
    3. 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, March.
    4. Rebeca I. Muñoz Torres & David Shepherd, 2014. "Inflation Targeting and the Consistency of Monetary Policy Decisions in Mexico: an Empirical Analysis with Discrete Choice Models," Manchester School, University of Manchester, vol. 82, pages 21-46, December.
    5. George Monokroussos, 2013. "A Classical MCMC Approach to the Estimation of Limited Dependent Variable Models of Time Series," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 71-105, June.
    6. 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.
    7. Eric Girardin & Sandrine Lunven & Guonan Ma, 2014. "Inflation and China's monetary policy reaction function: 2002-2013," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 159-170, Bank for International Settlements.
    8. Feunou Bruno & Fontaine Jean-Sébastien & Jin Jianjian, 2021. "What model for the target rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-23, February.
    9. 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.
    10. Ullrich, Katrin, 2006. "An impact of country-specific economic developments on ECB decisions," ZEW Discussion Papers 06-049, ZEW - Leibniz Centre for European Economic Research.
    11. Seibert, Armin & Sirchenko, Andrei & Müller, Gernot, 2021. "A model for policy interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
    12. Adrienne Kearney & Raymond Lombra, 2003. "Fed funds futures and the news," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(4), pages 330-337, December.
    13. 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, September.
    14. 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.
    15. 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, November.
    16. Farvaque, Etienne & Malan, Franck & Stanek, Piotr, 2020. "Misplaced childhood: When recession children grow up as central bankers," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    17. 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.
    18. Pauwels, Laurent L. & Vasnev, Andrey L., 2016. "A note on the estimation of optimal weights for density forecast combinations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 391-397.
    19. Dick van Dijk & Robin L. Lumsdaine & Michel van der Wel, 2014. "Market Set-Up in Advance of Federal Reserve Policy Decisions," NBER Working Papers 19814, National Bureau of Economic Research, Inc.
    20. Jef Boeckx, 2011. "Estimating monetary policy reaction functions : A discrete choice approach," Working Paper Research 210, National Bank of Belgium.

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