Kevin Dowd
U.S. core inflation: A wavelet analysis
Dowd, Kevin; Cotter, John; Loh, Lixia
Authors
John Cotter
Lixia Loh
Abstract
This paper proposes the use of wavelet methods to estimate U.S. core inflation. It explains wavelet methods and suggests that they are ideally suited to this task. Comparisons are made with traditional Consumer Price Index-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. © 2010 Cambridge University Press.
Citation
Cotter, J., Dowd, K., & Loh, L. (2011). U.S. core inflation: A wavelet analysis. Macroeconomic Dynamics, 15(4), 513-536. https://doi.org/10.1017/S1365100510000179
Journal Article Type | Article |
---|---|
Publication Date | Sep 1, 2011 |
Publicly Available Date | Jun 8, 2019 |
Journal | Macroeconomic Dynamics |
Print ISSN | 1365-1005 |
Electronic ISSN | 1469-8056 |
Publisher | Cambridge University Press (CUP) |
Peer Reviewed | Peer Reviewed |
Volume | 15 |
Issue | 4 |
Pages | 513-536 |
DOI | https://doi.org/10.1017/S1365100510000179 |
Keywords | core inflation, wavelets, trend inflation, inflation prediction |
Public URL | https://uwe-repository.worktribe.com/output/959809 |
Publisher URL | http://dx.doi.org/10.1017/S1365100510000179 |
Files
download.pdf
(361 Kb)
PDF
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search