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Estimating the expected duration of the zero lower bound in DSGE models with forward guidance

Author

Listed:
  • Mariano Kulish

    (School of Economics, Australian School of Business, the University of New South Wales)

  • James Morley

    (School of Economics, Australian School of Business, the University of New South Wales)

  • Tim Robinson

    (Melbourne Institute of Applied Economics and Social Research, University of Melbourne)

Abstract
Motivated by the increasing use of forward guidance, we consider DSGE models in which the central bank holds the policy rate fixed for an extended period of time. Private agents' beliefs about how long the fixed-rate regime will last in uences current output and in ation. We estimate the structural parameters for US data and infer the expected duration of the zero lower bound regime. Our results suggest that the average expected duration is around 3 quarters and has varied significantly since the onset of the zero lower bound regime, with changes that can be related to the Federal Reserve's forward guidance.

Suggested Citation

  • Mariano Kulish & James Morley & Tim Robinson, 2014. "Estimating the expected duration of the zero lower bound in DSGE models with forward guidance," Discussion Papers 2014-32, School of Economics, The University of New South Wales.
    • Handle: RePEc:swe:wpaper:2014-32
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    File URL: http://research.economics.unsw.edu.au/RePEc/papers/2014-32.pdf
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    References listed on IDEAS

    as
    1. Mariano Kulish & Adrian Pagan, 2017. "Estimation and Solution of Models with Expectations and Structural Changes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 255-274, March.
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    3. Adam Cagliarini & Mariano Kulish, 2013. "Solving Linear Rational Expectations Models with Predictable Structural Changes," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 328-336, March.
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    Cited by:

    1. Mariano Kulish & James Morley & Tim Robinson, 2014. "Estimating DSGE models with forward guidance," Discussion Papers 2014-32A, School of Economics, The University of New South Wales.
    2. Eric Gaus, 2014. "Adaptive Learning, Heterogeneous Expectations and Forward Guidance," Working Papers 14-03, Ursinus College, Department of Economics.
    3. Atsushi Inoue & Barbara Rossi, 2021. "A new approach to measuring economic policy shocks, with an application to conventional and unconventional monetary policy," Quantitative Economics, Econometric Society, vol. 12(4), pages 1085-1138, November.
    4. Gregor Bäurle & Daniel Kaufmann, 2018. "Measuring Exchange Rate, Price, and Output Dynamics at the Effective Lower Bound," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1243-1266, December.

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    More about this item

    Keywords

    forward guidance; dsge estimation; zero lower bound; unconventional monetary policy; shadow rate;
    All these keywords.

    JEL classification:

    • 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
    • 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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