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A trend-cycle(-season) filter

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  • Mohr, Matthias

Abstract

This paper proposes a new univariate method to decompose a time series into a trend, a cyclical and a seasonal component: the Trend-Cycle filter (TC filter) and its extension, the Trend-Cycle-Season filter (TCS filter). They can be regarded as extensions of the Hodrick-Prescott filter (HP filter). In particular, the stochastic model of the HP filter is extended by explicit models for the cyclical and the seasonal component. The introduction of a stochastic cycle improves the filter in three respects: first, trend and cyclical components are more consistent with the underlying theoretical model of the filter. Second, the end-of sample reliability of the trend estimates and the cyclical component is improved compared to the HP filter since the pro-cyclical bias in end-of-sample trend estimates is virtually removed. Finally, structural breaks in the original time series can be easily accounted for. JEL Classification: C13, C22, E32

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Bibliographic Info

Paper provided by European Central Bank in its series Working Paper Series with number 0499.

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Date of creation: Jul 2005
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Handle: RePEc:ecb:ecbwps:20050499

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Keywords: economic cycles; filtering; seasonality; time series; trend-cycle decomposition;

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Cited by:
  1. Destefanis, Sergio & Mastromatteo, Giuseppe, 2012. "Assessing the reassessment: A panel analysis of the Lisbon Strategy," Economics Letters, Elsevier, vol. 115(2), pages 148-151.
  2. Ard den Reijer, 2006. "The Dutch business cycle: which indicators should we monitor?," DNB Working Papers 100, Netherlands Central Bank, Research Department.
  3. Golinelli, Roberto & Momigliano, Sandro, 2006. "Real-time determinants of fiscal policies in the euro area," Journal of Policy Modeling, Elsevier, vol. 28(9), pages 943-964, December.
  4. Roberto Golinelli & Sandro Momigliano, 2006. "Real-time determinants of fiscal policies in the euro area: Fiscal rules, cyclical conditions and elections," Temi di discussione (Economic working papers) 609, Bank of Italy, Economic Research and International Relations Area.

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