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The Taylor Rule and Interest Rate Uncertainty in the U.S. 1970-2006

Author

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  • Martin Mandler

    (University of Giessen)

Abstract

This paper shows how to estimate forecast uncertainty about future short-term interest rates by combining a time-varying Taylor rule with an unobserved components model of economic fundamentals. Using this model I separate interest rate uncertainty into economically meaningful components that represent uncertainty about future economic conditions and uncertainty about future monetary policy. Results from estimating the model on U.S. data suggest important changes in uncertainty about future short-term interest rates over time and highlight the relative importance of the different elements which underlie interest rate uncertainty for the U.S.

Suggested Citation

  • Martin Mandler, 2009. "The Taylor Rule and Interest Rate Uncertainty in the U.S. 1970-2006," MAGKS Papers on Economics 200945, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Handle: RePEc:mar:magkse:200945
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    File URL: http://www.uni-marburg.de/fb02/makro/forschung/magkspapers/45-2009_mandler.pdf
    File Function: First version, 2009
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    Cited by:

    1. Yüksel, Ebru & Metin-Ozcan, Kivilcim & Hatipoglu, Ozan, 2013. "A survey on time-varying parameter Taylor rule: A model modified with interest rate pass-through," Economic Systems, Elsevier, vol. 37(1), pages 122-134.

    More about this item

    Keywords

    Monetary policy; reaction functions; state-space models; output-gap forecasts; inflation forecasts;

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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