Quantitative goals for monetary policy: a quantile regression approach
Aaron Jackson () and
William Miles
Applied Economics, 2009, vol. 41, issue 16, 2065-2071
Abstract:
A recent paper by Fatas et al. (2006) 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.
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840701736123 (text/html)
Access to full text is restricted to subscribers.
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:taf:applec:v:41:y:2009:i:16:p:2065-2071
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036840701736123
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().