U.S. Core Inflation: A Wavelet Analysis
Author(s) -
John Cotter,
Kevin Dowd
Publication year - 2006
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.993936
Subject(s) - wavelet , core inflation , inflation (cosmology) , core (optical fiber) , economics , keynesian economics , econometrics , monetary economics , computer science , artificial intelligence , monetary policy , inflation targeting , physics , telecommunications , theoretical physics
This paper proposes the use of wavelet methods to estimate U.S. core inflation. Itexplains wavelet methods and suggests they are ideally suited to this task.Comparisons are made with traditional CPI-based and regression-based measures fortheir performance in following trend inflation and predicting future inflation. Resultssuggest that wavelet-based measures perform better, and sometimes much better,than the traditional approaches. These results suggest that wavelet methods are apromising avenue for future research on core inflation.
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