Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/18345
Authors: 
Kholodilin, Konstantin Arkadievich
Year of Publication: 
2005
Series/Report no.: 
DIW Discussion Papers 494
Abstract: 
In this paper a dynamic bi-factor model with Markov switching is proposed to measure and predict turning points of the German business cycle. It estimates simultaneously the composite leading indicator (CLI) and composite coincident indicator (CCI) together with corresponding probabilities of being in recession. According to the bi-factor model, on average, CLI leads CCI by 3 months at both peaks and troughs. The model-derived recession probabilities of CCI and those of CLI with a lag of 2?3 months capture the turning points of the ECRI?s and OECD?s reference cycle much better than the dynamic single-factor model with Markov switching.
Subjects: 
Forecasting turning points
composite coincident indicator
composite leading indicator
dynamic bi-factor model
Markov-switching
JEL: 
C10
E32
Document Type: 
Working Paper

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