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U.S. core inflation : a wavelet analysis
Author(s)
Date Issued
2010-06
Date Available
2011-01-21T14:28:29Z
Abstract
This paper proposes the use of wavelet methods to estimate U.S. core inflation. It explains wavelet methods and suggests they are ideally suited to this task. Comparisons are made with traditional CPI-based and regression-based measures for their performance in following trend inflation and predicting future inflation. Results suggest that wavelet-based measures perform better, and sometimes much better, than the traditional approaches. These results suggest that wavelet methods are a promising avenue for future research on core inflation.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Cambridge Journals
Journal
Macroeconomic Dynamics
Volume
Firstview articles
Copyright (Published Version)
2010 Cambridge University Press
Subject – LCSH
Inflation (Finance)--Mathematical models
Wavelets (Mathematics)
Inflation (Finance)--Forecasting
Inflation (Finance)--United States
Language
English
Status of Item
Peer reviewed
ISSN
1365-1005
This item is made available under a Creative Commons License
File(s)
No Thumbnail Available
Name
US core inflation 2010.doc
Size
304 KB
Format
Microsoft Word
Checksum (MD5)
55fa08a34b27560979ae22849f41c4ea
Owning collection
Mapped collections