U.S. core inflation : a wavelet analysis

Files in This Item:
File Description SizeFormat 
US core inflation 2010.doc304 kBMicrosoft WordDownload
Title: U.S. core inflation : a wavelet analysis
Authors: Cotter, John
Dowd, Kevin
Loh, Lixia
Permanent link: http://hdl.handle.net/10197/2738
Date: Jun-2010
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.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Cambridge Journals
Copyright (published version): 2010 Cambridge University Press
Keywords: Core inflationWaveletsTrend inflationInflation prediction
Subject LCSH: Inflation (Finance)--Mathematical models
Wavelets (Mathematics)
Inflation (Finance)--Forecasting
Inflation (Finance)--United States
DOI: 10.1017/S1365100510000179
Language: en
Status of Item: Peer reviewed
Appears in Collections:FMC² Research Collection
Business Research Collection

Show full item record

SCOPUSTM   
Citations 50

5
Last Week
0
Last month
checked on Aug 17, 2018

Page view(s) 10

224
checked on May 25, 2018

Download(s) 20

454
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.