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Cointegration nonlinéaire d'Engle-Granger×Test de cointégration de Johansen et modèle à correction d'erreur vectoriel×
DomaineÉconométrieFinance
FamilleRegression modelRegression model
Année d'origine1998-20061991
Auteur d'origineKapetanios, Shin & Snell; Enders & GrangerSøren Johansen
TypeCointegration testMultivariate cointegration / vector error correction model
Source fondatriceKapetanios, G., Shin, Y., & Snell, A. (2006). Testing for cointegration in nonlinear smooth transition error correction models. Econometric Theory, 22(2), 279-303. DOI ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
Aliasnonlinear cointegration, threshold cointegration, KSS cointegration, ESTAR cointegrationJohansen test, VECM, vector error correction model, multivariate cointegration
Apparentées33
RésuméNonlinear Engle-Granger cointegration extends the classical two-step Engle-Granger procedure to detect long-run equilibria where adjustment toward the equilibrium is nonlinear — for example, faster above than below a threshold, or governed by a smooth transition mechanism. It is widely applied in financial economics, purchasing power parity tests, and commodity price analysis.The Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Nonlinear Engle-Granger Cointegration · Johansen Cointegration Test. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare