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Modelling Cyclical Asymmetry in a Production Series Using Threshold Autoregressive Models
Ces dernières années ont vu apparaître dans la littérature de nombreuses preuves de la non-linéarité des séries temporelles telles que celles du PNB ou de la production. Dans cet article, nous cherchons à savoir s'il existe des non-linéarités dans l'indice de la production nette du secteur...
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Published in: | Recherches économiques de Louvain 1992-01, Vol.58 (3/4), p.473-486 |
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container_title | Recherches économiques de Louvain |
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creator | Kräger, Horst |
description | Ces dernières années ont vu apparaître dans la littérature de nombreuses preuves de la non-linéarité des séries temporelles telles que celles du PNB ou de la production. Dans cet article, nous cherchons à savoir s'il existe des non-linéarités dans l'indice de la production nette du secteur productif de la RFA. On applique 3 tests différents de nonlinéarité sur les séries stationnaires et deux de celles-ci s'avèrent clairement non-linéaires. Un recours à l'estimation d'un modèle SETAR, permet de saisir différemment ces non-linéairités détectées à l'étape précédente. In recent years there is evidence in the literature that various time series like GNP or production may be nonlinear. In this paper the question is examined whether there are non-linearities in the net production index for the producing sector of the FRG. Three different non-linearity tests are applied on the stationary series and two exhibit clear nonlinearities. Therefore a SETAR-model was estimated and it was able to capture all the previous inherent non-linearities. |
doi_str_mv | 10.1017/S0770451800044171 |
format | article |
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subjects | Autoregressive models Business cycles Cyclical asymmetry Economic fluctuations Limit cycles Modelling Nonlinearity Null hypothesis Parametric models Part IV: Time Series Analysis of Output and Employment Production Skeleton Time series Time series models |
title | Modelling Cyclical Asymmetry in a Production Series Using Threshold Autoregressive Models |
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