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ALTERNATIVE MONETARY POLICIES UNDER KEYNESIAN ANIMAL SPIRITS

Published online by Cambridge University Press:  28 February 2019

Tai-kuang Ho
Affiliation:
National Taiwan University
Ya-chi Lin
Affiliation:
Feng Chia University
Kuo-chun Yeh*
Affiliation:
National Taiwan University
*
Address correspondence to: Kuo-chun Yeh, Graduate Institute of National Development, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan. e-mail: [email protected]. Phone: +886-2-33663334. Fax: +886-2-23676176.

Abstract

In this paper, we make the case that an argument for price-level targeting over inflation targeting need not to be based on some overly restrictive assumptions. We adopt a theoretical framework that deviates from the assumption of rational expectation, and that takes into account the cognitive limitations and a “trial and error” learning mechanism of the agents. The (im)perfect credibility of various monetary policies (e.g., a Taylor-type rule, strict domestic inflation targeting, strict consumer price index (CPI) inflation targeting, exchange rate peg, and domestic price-level and CPI-level targeting) may lead agents to react according to their expectation rules, and then create various degrees of booms and busts in output and inflation. Therefore, relaxing the rational expectation hypothesis has potential consequences for policy planning. We find that price-level targeting prevails over inflation targeting even under different expectation formation and even when the announced inflation target is not fully credible. The counterfactual analysis and sensitivity test confirm that CPI-level targeting is the most effective for improving social welfare and stability in an open economy. The business cycles induced by animal spirits are enhanced by strict inflation targeting.

Type
Articles
Copyright
© Cambridge University Press 2019

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Footnotes

We would like to thank participants at the 3rd HenU/INFER Workshop on Applied Macroeconomics, the editors and two anonymous referees for helpful comments. Tai-kuang Ho: [email protected]. Ya-chi Lin: [email protected].

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