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آزمون علیت گرنجر×مدل تصحیح خطای برداری (VECM)×
حوزهاقتصادسنجیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش19691987
پدیدآورClive W. J. GrangerRobert F. Engle and Clive W. J. Granger
نوعCausality test (F-test on VAR)Multivariate time-series model
منبع بنیادینGranger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
نام‌های دیگرGranger test, GC test, predictive causality test, Granger non-causality testVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
مرتبط55
خلاصهThe Granger causality test is a statistical hypothesis test that determines whether past values of one time series help predict future values of another, beyond what that series' own past already explains. Introduced by Clive Granger in 1969, it is the standard approach for assessing predictive causality in VAR-based time-series analysis.The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.
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ScholarGateمقایسهٔ روش‌ها: Granger Causality Test · Vector Error Correction Model. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare