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.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
3520.
Find related papers by JEL classification: E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Michael F. Bryan & Stephen G. Cecchetti & Rodney L. Wiggins II, 1997.
"Efficient Inflation Estimation,"
NBER Working Papers
6183, National Bureau of Economic Research, Inc.
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