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Taylor-type rules versus optimal policy in a Markov-switching economy

We analyse the effect of uncertainty concerning the state and the nature of asset price movements on the optimal monetary policy response. Uncertainty is modelled by adding Markov-switching shocks to a DSGE model with capital accumulation. In our analysis we consider both Taylor-type rules and optimal policy. Taylor rules have been shown to provide a good description of US monetary policy. Deviations from its implied interest rates have been associated with risks of financial disruptions. Whereas interest rates in Taylor-type rules respond to a small subset of information, optimal policy considers all state variables and shocks. Our results suggest that, when a bubble bursts, the Taylor rule fails to achieve a soft landing, contrary to the optimal policy.

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Paper provided by NIPE - Universidade do Minho in its series NIPE Working Papers with number 15/2008.

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Date of creation: 2008
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Handle: RePEc:nip:nipewp:15/2008
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Núcleo de Investigação em Políticas Económicas, Escola de Economia e Gestão, Universidade do Minho, P-4710-057 Braga, Portugal

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  8. Andrew Levin & Volker Wieland & John Williams, 2000. "The Performance Of Forecast-Based Monetary Policy Rules Under Model Uncertainty," Computing in Economics and Finance 2000 203, Society for Computational Economics.
  9. Michael Woodford, 2012. "Forecast Targeting as a Monetary Policy Strategy - Policy Rules in Practice," Book Chapters, in: Evan F. Koenig & Robert Leeson & George A. Kahn (ed.), The Taylor Rule and the Transformation of Monetary Policy, chapter 9 Hoover Institution, Stanford University.
  10. Fernando Alexandre & Pedro Bação & John Driffill, 2007. "Optimal monetary policy with a regime-switching exchange rate in a forward-looking model," GEMF Working Papers 2007-09, GEMF - Faculdade de Economia, Universidade de Coimbra.
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  24. Driffill, John & Sola, Martin, 1998. "Intrinsic bubbles and regime-switching," Journal of Monetary Economics, Elsevier, vol. 42(2), pages 357-373, July.
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