1995
DOI: 10.1016/0165-1889(93)00781-x
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Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research

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Cited by 664 publications
(363 citation statements)
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“…Kydland and Prescott (1982) choose it because it focuses on fluctuations at cyclical frequencies. This technique, however, has been criticized by several researchers (King and Rebelo, 1993;Cogley and Nason, 1995;Harvey and Jaeger, 1993;Gregory and Smith, 1995), because mechanical detrending based on the HP filter could lead investigators to report spurious cyclical behavior. The last two methods I use-the segmented linear method and the PAT technique-have not been widely used in the business-cycle literature.…”
Section: Trend-cycle Decompositionmentioning
confidence: 99%
“…Kydland and Prescott (1982) choose it because it focuses on fluctuations at cyclical frequencies. This technique, however, has been criticized by several researchers (King and Rebelo, 1993;Cogley and Nason, 1995;Harvey and Jaeger, 1993;Gregory and Smith, 1995), because mechanical detrending based on the HP filter could lead investigators to report spurious cyclical behavior. The last two methods I use-the segmented linear method and the PAT technique-have not been widely used in the business-cycle literature.…”
Section: Trend-cycle Decompositionmentioning
confidence: 99%
“…To do so, a filter technique was necessary to obtain the short-term cyclical components and long-term trends in the time series of both climate change and the economic cycle. The Hodrick-Prescott (HP) filter (Hodrick and Prescott 1997) has been widely used in business-cycle research despite having several shortcomings (Cogley and Nason 1995). The smoothing level depends on the smoothing parameter k. For larger values of k, the solution series becomes smoother (Hodrick and Prescott 1997).…”
Section: Statisticsmentioning
confidence: 99%
“…The most common approaches in the literature include linear trends (Nelson and Plosser (1982)), broken trends (Perron (1989(Perron ( , 1997), polynomial trends ), the Hodrick-Prescott filter (Hodrick and Prescott (1997), Cogley and Nason (1995)), and smooth transition trend models (Leybourne, et. al.…”
Section: Unit Roots and Structural Breaks In Money And Outputmentioning
confidence: 99%