Methoden vergleichen

	Granger-Kausalitätstest	Kointegrationstest (Johansen / Engle-Granger)
Fachgebiet	Ökonometrie	Ökonometrie
Familie	Regression model	Regression model
Entstehungsjahr	1969	1988
Urheber	Clive W. J. Granger	Engle & Granger (1987); Johansen (1988)
Typ	Time-series predictive causality test	Time-series cointegration test
Wegweisende Quelle	Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438.	Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254.
Aliasnamen	Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi	Johansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)
Verwandt	5	5
Zusammenfassung	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 cointegration test examines whether non-stationary time series that each contain a unit root share a stable long-run equilibrium relationship. The single-equation residual approach was introduced by Engle and Granger (1987) and the system-based rank approach by Johansen (1988).