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The Hodrick-Prescott Filter, the Slutzky Effect, and the Distortionary Effect of Filters

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Author Info
Torben Mark Pedersen (University of Copenhagen Institute of Economics)
Abstract

The main contribution of this paper is the construction of a metric based on optimal filtering for measuring the distortionary effect of filters. The Hodrick-Prescott filter (HP-filter) has been critizised for inducing spurious cycles when filtering macroeconomic time series with the "typical spectral shape", the so-called Slutzky-effect. It is shown that the HP-filter is not subject to that critique and that the Slutzky-effect is a special case of a more general pattern of distortions of filters. Based on the theory of optimal filtering, we derive a frequency domain measure of the size of distortions when defining business cycles as cycles with a period less than a prespecified number of years. The metric is used for two purposes. First, to determine the optimal value of the smoothing parameter in the HP-filter. Secondly, to measure the size of distortions of ten filters including a new Hodrick-Prescott based band pass filter. The main conclusions are that the standard value of the smoothing parameter of the HP-filter, = 1600, is close to being the optimal value when filtering near-integrated time series and that the HP-filter is less distorting than any of the other filters studied.

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Publisher Info
Paper provided by University of Copenhagen. Department of Economics in its series Discussion Papers with number 98-09.

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Length: 17 pages
Date of creation: Jun 1998
Date of revision:
Publication status: Published in: Journal Econ Dynamics & Control 25(8) 2001, 1081-1101
Handle: RePEc:kud:kuiedp:9809

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Related research
Keywords: detrending; Hodrick-Prescott filter; Slutzky effect; optimal filtering; spectral analysis; business cycles;

Find related papers by JEL classification:
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions

Cited by:
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  1. Simon van Norden, 2002. "Filtering for Current Analysis," Working Papers 02-28, Bank of Canada. [Downloadable!]
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