Seasonal Adjustment and the Detection of Business Cycle Phases

A Matas-Mir and Denise Osborn
Authors registered in the RePEc Author Service: Antonio Matas Mir

Centre for Growth and Business Cycle Research Discussion Paper Series from Economics, The University of Manchester

Abstract: To date, there has been little investigation of the impact of seasonal adjustment on the detection of business cycle expansion and recession regimes. We study this question both analytically and through Monte Carlo simulations. Analytically, we view the occurrence of a single business cycle regime as a structural break that is later reversed, showing that the effect of the linear symmetric X-11 filter differs with the duration of the regime. Through the use of Markov switching models for regime identification, the simulation analysis shows that seasonal adjustment has desirable properties in clarifying the true regime when this is well underway, but it distorts regime inference around turning points, with this being especially marked after the end of recessions and when the one-sided X-11 filter is employed.

Keywords: seasonal adjustment; business cycles; Markov switching models (search for similar items in EconPapers)
Pages: 43 pages
Date: 2003
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Citations: View citations in EconPapers (9)

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Related works:
Working Paper: Seasonal adjustment and the detection of business cycle phases (2004)
Working Paper: Seasonal Adjustment and the Detection of Business Cycle Phases (2003)
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Persistent link: https://EconPapers.repec.org/RePEc:man:cgbcrp:26

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