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

Fernando Alexandre (), Pedro Bação and Vasco Gabriel

No 2008-02, GEMF Working Papers from GEMF, Faculty of Economics, University of Coimbra

Abstract: We analyse the effect of uncertainty concerning the state and the nature of asset price movements on the optimal monetary policy response. Uncertainty is modeled 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.

Keywords: Asset Prices; Monetary Policy; Markov Switching (search for similar items in EconPapers)
JEL-codes: E52 E58 (search for similar items in EconPapers)
Pages: 37 pages
Date: 2008
New Economics Papers: this item is included in nep-cba, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Related works:
Working Paper: Taylor-type rules versus optimal policy in a Markov-switching economy (2008)
Working Paper: Taylor-type rules versus optimal policy in a Markov-switching economy¤ (2008)
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