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Coïntegratietest (Johansen / Engle-Granger)×Granger-causaliteitstest×
VakgebiedEconometrieEconometrie
FamilieRegression modelRegression model
Jaar van ontstaan19881969
GrondleggerEngle & Granger (1987); Johansen (1988)Clive W. J. Granger
TypeTime-series cointegration testTime-series predictive causality test
Oorspronkelijke bronJohansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
AliassenJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Verwant55
SamenvattingThe 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).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.
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ScholarGateMethoden vergelijken: Cointegration Test · Granger Causality. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare