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Test de cointégration robuste ARDL par bornes×Test de cointégration de Johansen et modèle à correction d'erreur vectoriel×
DomaineÉconométrieFinance
FamilleRegression modelRegression model
Année d'origine20191991
Auteur d'origineSam, McNown & GohSøren Johansen
TypeCointegration testMultivariate cointegration / vector error correction model
Source fondatriceSam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130-141. DOI ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
AliasRobust ARDL, Robust bounds testing approach, Sam-McNown-Goh bounds test, Bootstrap ARDL bounds testJohansen test, VECM, vector error correction model, multivariate cointegration
Apparentées33
RésuméThe Robust ARDL bounds test is an augmented version of the Pesaran-Shin-Smith (2001) ARDL bounds testing approach that resolves its two key weaknesses: size distortion under mixed integration orders and the degenerate-case problem. It introduces three separate test statistics — an overall F-test and two new Wald statistics for the dependent and independent variables — evaluated against bootstrap-generated critical values.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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  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Robust ARDL bounds test · Johansen Cointegration Test. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare