Comparer des méthodes

	Test de causalité de Granger	Modèle à Correction d'Erreur Vectorielle (VECM)
Domaine	Économétrie	Économétrie
Famille	Regression model	Regression model
Année d'origine	1969	1987
Auteur d'origine	Clive W. J. Granger	Engle & Granger
Type	Time-series predictive causality test	Multivariate time-series model
Source fondatrice	Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438.	Engle, R. F. & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276.
Alias	Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi	vector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
Apparentées	5	4
Résumé	The Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause.	The Vector Error Correction Model is a multivariate time-series model for cointegrated series that captures both their short-run dynamics and their long-run equilibrium relationship. It was introduced by Engle and Granger in 1987 as part of the cointegration and error-correction framework.