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Frequency Dependence in a Real-Time Monetary Policy Rule

Author

Listed:
  • Richard Ashley
  • Kwok Ping Tsang
  • Randal J. Verbrugge

Abstract

We estimate a monetary policy rule for the US allowing for possible frequency dependence?i.e., allowing the central bank to respond differently to more persistent innovations than to more transitory innovations, in both the unemployment rate and the inflation rate. Our estimation method uses real-time data in these rates?as did the FOMC?and requires no a priori assumptions on the pattern of frequency dependence or on the nature of the processes generating either the data or the natural rate of unemployment. Unlike other approaches, our estimation method allows for possible feedback in the relationship. Our results convincingly reject linearity in the monetary policy rule, in the sense that we find strong evidence for frequency dependence in the key coefficients of the central bank's policy rule: i.e., the central bank's federal funds rate response to a fluctuation in either the unemployment or the inflation rate depended strongly on the persistence of this fluctuation in the recently observed (real-time) data. These results also provide useful insights into how the central bank's monetary policy rule has varied between the Martin-Burns-Miller and the Volcker-Greenspan time periods.

Suggested Citation

  • Richard Ashley & Kwok Ping Tsang & Randal J. Verbrugge, 2014. "Frequency Dependence in a Real-Time Monetary Policy Rule," Working Papers (Old Series) 1430, Federal Reserve Bank of Cleveland.
  • Handle: RePEc:fip:fedcwp:1430
    DOI: 10.26509/frbc-wp-201430
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    Cited by:

    1. Ashley, Richard & Li, Guo, 2014. "Re-examining the impact of housing wealth and stock wealth on retail sales: Does persistence in wealth changes matter?," Journal of Housing Economics, Elsevier, vol. 26(C), pages 109-118.

    More about this item

    Keywords

    Taylor rule; frequency dependence; spectral regression; real-time data;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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