Type

Journal Article

Authors

Lixia Loh
Kevin Dowd
John Cotter

Subjects

Economics

Topics
inflation finance united states core inflation inflation finance mathematical models trend inflation wavelets wavelets mathematics inflation finance forecasting inflation prediction

U.S. core inflation : a wavelet analysis (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.
Collections Ireland -> University College Dublin -> Business Research Collection
Ireland -> University College Dublin -> Institutes and Centres
Ireland -> University College Dublin -> School of Business
Ireland -> University College Dublin -> Financial Mathematics Computation Cluster
Ireland -> University College Dublin -> FMC² Research Collection
Ireland -> University College Dublin -> College of Business

Full list of authors on original publication

Lixia Loh, Kevin Dowd, John Cotter

Experts in our system

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John Cotter
University College Dublin
Total Publications: 93