Liquidity Trap and Optimal Monetary Policy Revisited

Kohei Hasui, Tomohiro Sugo and Yuki Teranishi

No 61, UTokyo Price Project Working Paper Series from University of Tokyo, Graduate School of Economics

Abstract: This paper investigates history dependent easing known as a conventional wis- dom of optimal monetary policy in a liquidity trap. We show that, in an economy where the rate of inflation exhibits intrinsic persistence, monetary tightening is earlier as inflation becomes more persistent. This property is referred as early tightening and in the case of a higher degree of inflation persistence, a central bank implements front-loaded tightening so that it terminates the zero interest rate policy even before the natural rate of interest turns positive. As a prominent feature in a liquidity trap, a forward guidance of smoothing the change in inflation rates contributes to an early termination of the zero interest rate policy.

Keywords: liquidity trap; optimal monetary policy; inflation persistence; early tightening; forward guidance (search for similar items in EconPapers)
JEL-codes: E31 E52 E58 E61 (search for similar items in EconPapers)
Pages: 46 pages
Date: 2016-02
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 (7)

Downloads: (external link)
http://www.price.e.u-tokyo.ac.jp/img/researchdata/pdf/p_wp079.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:upd:utppwp:061

Access Statistics for this paper

More papers in UTokyo Price Project Working Paper Series from University of Tokyo, Graduate School of Economics University of Tokyo 702 Faculty of Economics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. Contact information at EDIRC.
Bibliographic data for series maintained by Yayoi Hatano ().