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.
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Johns Hopkins Univ, Baltimore, MD USAInt Monetary Fund, Washington, DC 20431 USA
Ball, Laurence
Carvalho, Carlos
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Kapitalo Investimentos, Rio De Janeiro, Brazil
Pontificia Univ Catolica Rio de Janeiro, Rio de Janeiro, BrazilInt Monetary Fund, Washington, DC 20431 USA
Carvalho, Carlos
Evans, Christopher
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Int Monetary Fund, Washington, DC 20431 USAInt Monetary Fund, Washington, DC 20431 USA
Evans, Christopher
Ricci, Luca Antonio
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Int Monetary Fund, Washington, DC 20431 USAInt Monetary Fund, Washington, DC 20431 USA
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Turkiye Istatistik Kurumu Ankara Bolge Mudurlugu, Nakis Sok 41, TR-06460 Ankara, TurkeyTurkiye Istatistik Kurumu Ankara Bolge Mudurlugu, Nakis Sok 41, TR-06460 Ankara, Turkey
Yigit, Ozlem
Gokce, Atilla
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Gazi Univ, IIBF Ekonometri Bolumu, TR-06500 Ankara, TurkeyTurkiye Istatistik Kurumu Ankara Bolge Mudurlugu, Nakis Sok 41, TR-06460 Ankara, Turkey