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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)
Dowd, Kevin  
Cotter, John  
Uri
http://hdl.handle.net/10197/1159
Date Issued
2006-09-10
Date Available
2009-06-09T15:04:47Z
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.
Type of Material
Working Paper
Publisher
University College Dublin. School of Business. Centre for Financial Markets
Series
Centre for Financial Markets working paper series
WP-06-15
Copyright (Published Version)
2006, Centre for Financial Markets
Subjects

Core inflation

Wavelets

Inflation prediction

Trend inflation

Subject – LCSH
Wavelets (Mathematics)
Inflation (Finance)--Mathematical models
Inflation (Finance)--Forecasting
Web versions
http://www.ucd.ie/bankingfinance/docs/wp/WP-06-15.pdf
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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WP-06-15.pdf

Size

237.24 KB

Format

Adobe PDF

Checksum (MD5)

b0df2d528010134985722c615f211b72

Owning collection
Centre for Financial Markets Working Papers
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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