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Classical vs wavelet-based filters Comparative study and application to business cycle

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In this article, we compare the performance of Hodrickk-Prescott and Baxter-King filters with a method of filtering based on the multi-resolution properties of wavelets. We show that overall the three methods remain comparable if the theoretical cyclical component is defined in the usual waveband, ranging between six and thirty two quarters. However the approach based on wavelets provides information about the business cycle, for example, its stability over time which the other two filters do not provide. Based on Monte Carlo simulation experiments, our method applied to the American GDP using growth rate data shows that the estimate of the business cycle component is richer in information than that deduced from the level of GDP and includes additional information about the post 1980 period of great moderation.

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File URL: ftp://mse.univ-paris1.fr/pub/mse/CES2010/10027.pdf
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Paper provided by Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne in its series Documents de travail du Centre d'Economie de la Sorbonne with number 10027.

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Length: 19 pages
Date of creation: Mar 2010
Date of revision:
Handle: RePEc:mse:cesdoc:10027

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Keywords: Filters HP; wavelets; Monte Carlo Simulation; break; business cycles.;

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