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Estimation of a nonlinear Taylor rule using real-time U.S. data

Author

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  • Zisimos Koustas

    (Department of Economics, Brock University)

  • Jean-Francois Lamarche

    (Department of Economics, Brock University)

Abstract

This paper extends the work in Orphanides (2003) by re-examining the empirical evidence for a Taylor rule in a nonlinear framework. In doing so, it updates the Greenbook dataset used by the afore men- tioned author to the most recent available period. A three-regime threshold regression model is utilized to capture the possibly asymmetric policy reaction function used by the U.S. Federal Reserve. The theoretical foundations for such an approach to monetary policy are discussed in Orphanides and Wilcox (2002). Our results indicate that the estimated Taylor rule for the U.S., based on real-time Greenbook data for the period 1982:3-2003:4, is probably nonlinear.

Suggested Citation

  • Zisimos Koustas & Jean-Francois Lamarche, 2010. "Estimation of a nonlinear Taylor rule using real-time U.S. data," Working Papers 1005, Brock University, Department of Economics.
    • Handle: RePEc:brk:wpaper:1005
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    References listed on IDEAS

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    2. Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
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    2. Hongyi Chen & Michael Funke & Ivan Lozev & Andrew Tsang, 2020. "To Guide or Not to Guide? Quantitative Monetary Policy Tools and Macroeconomic Dynamics in China," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 49-94, October.
    3. Alexander Jung & Gergely Kiss, 2012. "Voting by monetary policy committees: evidence from the CEE inflation-targeting countries," MNB Working Papers 2012/2, Magyar Nemzeti Bank (Central Bank of Hungary).
    4. Saad Ahmad, 2020. "Identifying a robust policy rule for the Fed's response to financial stress," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 565-578, October.
    5. Jung, Alexander & Kiss, Gergely, 2012. "Preference heterogeneity in the CEE inflation-targeting countries," European Journal of Political Economy, Elsevier, vol. 28(4), pages 445-460.
    6. Hurn Stan & Johnson Nicholas & Silvennoinen Annastiina & Teräsvirta Timo, 2022. "Transition from the Taylor rule to the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(5), pages 635-647, December.
    7. Hongyi Chen & Michael Funke & Ivan Lozev & Andrew Tsang, 2020. "To Guide or Not to Guide? Quantitative Monetary Policy Tools and Macroeconomic Dynamics in China," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 49-94, October.
    8. Ahmad, Saad, 2016. "A multiple threshold analysis of the Fed's balancing act during the Great Moderation," Economic Modelling, Elsevier, vol. 55(C), pages 343-358.

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    More about this item

    Keywords

    Thresholds; Nonlinear Models; Taylor Rule; Real-Time Data;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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