Inflation Targeting, Learning and Q Volatility in Small Open Economies

Paul McNelis () and Guay Lim

No 104, Computing in Economics and Finance 2006 from Society for Computational Economics

Abstract: This paper examines the welfare implications of managing asset-price with consumer-price inflation targeting by monetary authorities who have to learn the laws of motion for both inflation rates. Our results show that the Central Bank can reduce the volatility of consumption and asset price inflation more effectively if it does so with state-contingent preferences than with a Taylor-rule with fixed coefficients. In the state-contingent setup the policy authority reacts to asset price movements only if such movements cross critical thresholds

Keywords: Tobin's Q; learning; monetary policy rules; inflation targets (search for similar items in EconPapers)
JEL-codes: E5 F4 (search for similar items in EconPapers)
Date: 2006-07-04
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Related works:
Journal Article: Inflation targeting, learning and Q volatility in small open economies (2007)
Working Paper: Inflation Targeting, Learning and Q Volatility in Small Open Economies (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:sce:scecfa:104

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