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格兰杰因果检验×协整检验(Johansen / Engle-Granger)×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份19691988
提出者Clive W. J. GrangerEngle & Granger (1987); Johansen (1988)
类型Time-series predictive causality testTime-series cointegration test
开创性文献Granger, 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 ↗
别名Granger 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)
相关55
摘要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).
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ScholarGate方法对比: Granger Causality · Cointegration Test. 于 2026-06-17 检索自 https://scholargate.app/zh/compare