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Changing dynamics at the zero lower bound

Author

Listed:
  • Dr. Gregor Bäurle
  • Daniel Kaufmann
  • Sylvia Kaufmann
  • Rodney W. Strachan
Abstract
The interaction of macroeconomic variables may change as the nominal short-term interest rates approach zero. In this paper, we propose an empirical model that captures these changing dynamics with a time-varying parameter vector autoregressive process. State-dependent parameters are determined by a latent state indicator. This state indicator follows a distribution with time-varying probabilities affected by the lagged interest rate. As the interest rate enters the critical zero lower bound (ZLB) region, the dynamics between the variables and the effect of shocks change. We estimate the model with Bayesian methods and explicitly consider that the interest rate may be constrained in the ZLB region. We provide an estimate of the latent rate, i.e., a lower interest rate than the observed level, which is state- and model-consistent. The endogenous specification of the state indicator permits dynamic forecasts of the state and system variables. In the application of the model to the Swiss data, we evaluate state-dependent impulse responses to a risk premium shock that is identified with sign restrictions. Additionally, we discuss scenario-based forecasts and evaluate the probability of the system exiting the ZLB region that is only based on the inherent dynamics.

Suggested Citation

  • Dr. Gregor Bäurle & Daniel Kaufmann & Sylvia Kaufmann & Rodney W. Strachan, 2016. "Changing dynamics at the zero lower bound," Working Papers 2016-16, Swiss National Bank.
    • Handle: RePEc:snb:snbwpa:2016-16
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    File URL: https://www.snb.ch/en/publications/research/working-papers/2016/working_paper_2016_16
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    References listed on IDEAS

    as
    1. Dr. Gregor Bäurle & Daniel Kaufmann, 2014. "Exchange rate and price dynamics in a small open economy - the role of the zero lower bound and monetary policy regimes," Working Papers 2014-10, Swiss National Bank.
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    5. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
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    15. Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.
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    19. Gauti B. Eggertsson & Michael Woodford, 2006. "Optimal Monetary and Fiscal Policy in a Liquidity Trap," NBER Chapters, in: NBER International Seminar on Macroeconomics 2004, pages 75-144, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
    2. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    3. 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

    Regime switching; time-varying probability; constrained variables;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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