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Detection of the Industrial Business Cycle using SETAR models

By Dominique Guegan and Laurent Ferrara

Abstract

International audienceWe consider a threshold time series model in order to take into account some stylized facts of the industrial business cycle such as asymmetries in the phase of the cycle. Our aim is to point out some thresholds under (over) which a signal of turning point could be given. First, we introduce the various threshold models and we discuss both their statistical theoretical and empirical properties. Specifically, we review the classical techniques to estimate the number of regimes, the threshold, the delay and the parameters of the model. Then, we apply these models to the euro area industrial production index to detect, through a dynamic simulation approach, the dates of peaks and thoughs in business cycle

Topics: Economic cycle, Turning point detection Threshold model, Euro area IPI, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]
Publisher: OECD Publishing
Year: 2005
OAI identifier: oai:HAL:halshs-00201309v1
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