Ferrara, Laurent and Guégan, Dominique (2005): Detection of the industrial business cycle using SETAR models. Published in: Journal of Business Cycle Measurement and Analysis , Vol. 2, No. 3 (2005): pp. 353-372.
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In this paper, we consider a threshold time series model in order to take into account certain stylized facts of the industrial business cycle, such as asymmetries in the phases 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. Especially, 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-zone industrial production index to detect, through a dynamic simulation approach, the dates of peaks and troughs in the business cycle.
|Item Type:||MPRA Paper|
|Original Title:||Detection of the industrial business cycle using SETAR models|
|Keywords:||Economic cycle; turning point detection; Threshold model; Euro-zone IPI|
|Subjects:||C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation
E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations; Cycles
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C22 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
|Depositing User:||Laurent Ferrara|
|Date Deposited:||08. Aug 2007|
|Last Modified:||15. Feb 2013 09:09|
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