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  5. U.S. core inflation : a wavelet analysis
 
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U.S. core inflation : a wavelet analysis

Author(s)
Cotter, John  
Dowd, Kevin  
Loh, Lixia  
Uri
http://hdl.handle.net/10197/2738
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
Subjects

Core inflation

Wavelets

Trend inflation

Inflation prediction

Subject – LCSH
Inflation (Finance)--Mathematical models
Wavelets (Mathematics)
Inflation (Finance)--Forecasting
Inflation (Finance)--United States
DOI
10.1017/S1365100510000179
Web versions
http://dx.doi.org/10.1017/S1365100510000179
http://journals.cambridge.org/action/displayJournal?jid=MDY
Language
English
Status of Item
Peer reviewed
ISSN
1365-1005
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
No Thumbnail Available
Name

US core inflation 2010.doc

Size

304 KB

Format

Microsoft Word

Checksum (MD5)

55fa08a34b27560979ae22849f41c4ea

Owning collection
Business Research Collection
Mapped collections
FMC² Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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