Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Inflation Targeting, Learning and Q Volatility in Small Open Economies

Authors
Paul McNelis1, Guay Lim
1Fordham University Graduate School of Business
Corresponding Author
Paul McNelis
Available Online October 2006.
DOI
10.2991/jcis.2006.182How to use a DOI?
Keywords
Tobin's Q, learning, monetary policy rules, inflation targets
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 improve welfare if it targets both consumer and asset-price inflation with state-contingent Taylor rules rather than conventional linear Taylor rules.

Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
Series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
10.2991/jcis.2006.182
ISSN
1951-6851
DOI
10.2991/jcis.2006.182How to use a DOI?
Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Paul McNelis
AU  - Guay Lim
PY  - 2006/10
DA  - 2006/10
TI  - Inflation Targeting, Learning and Q Volatility in Small Open Economies
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 565
EP  - 568
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.182
DO  - 10.2991/jcis.2006.182
ID  - McNelis2006/10
ER  -