Quantitative goals for monetary policy: a quantile regression approach
Jackson, Aaron L. Miles, William
Jackson, Aaron L.
Miles, William
Citations
Altmetric:
Authors
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2009
Type
Article
Genre
Keywords
Inflation,Model
Subjects (LCSH)
Citation
Aaron L. Jackson and William Miles Quantitative goals for monetary policy: a quantile regression approach
Applied Economics Vol. 41 , Iss. 16,2009
Abstract
A recent paper by Fatas et al. (2006 Fatas, A, Mihov, I and Rose, A. 2006. Quantitative goals for monetary policy. Journal of Money, Credit and Banking, 39: 1163-76.
[Google Scholar]
) indicates that formal monetary policy targets-exchange rate, money supply or inflation targets palpably decrease inflation in a sample of 40 countries. The authors employ various least squares estimations, which pick up the conditional average effect. However, there is wide inflation variability in the authors' sample. Thus, formal targets could have very different effects in high- and low- inflation countries. Accordingly, we utilize the technique of quantile regression, a method frequently used in labour economics. We find, in a sample of low- and moderate-inflation countries, that formal targets exert no significant impact on low-inflation nations. This result is important for debates over formal targets, such as whether the United States should adopt an inflation target. There are costs and benefits in having formal targets, and finding that targets do not decrease inflation, when it is already moderate, is an important piece of information to consider.
Table of Contents
Description
Click on the DOI link to access the article (may not be free)
Publisher
Taylor & Francis
Journal
Book Title
Series
Applied Economics; v.41:no.16
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
0003-6846