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Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

Testul de cauzalitate Granger×Testul de Cointegrare (Johansen / Engle-Granger)×
DomeniuEconometrieEconometrie
FamilieRegression modelRegression model
Anul apariției19691988
Autorul originalClive W. J. GrangerEngle & Granger (1987); Johansen (1988)
TipTime-series predictive causality testTime-series cointegration test
Sursa seminalăGranger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗
Denumiri alternativeGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik TestiJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)
Înrudite55
RezumatThe 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).
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ScholarGateCompară metode: Granger Causality · Cointegration Test. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare