قارن الطرق

	اختبار سببية غرانجر	نموذج الانحدار الذاتي المتجهي (VAR)
المجال	الاقتصاد القياسي	الاقتصاد القياسي
العائلة	Regression model	Regression model
سنة النشأة	1969	1980
صاحب الطريقة	Clive W. J. Granger	Christopher A. Sims
النوع	Causality test (F-test on VAR)	Multivariate time-series model
المصدر التأسيسي	Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438.	Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48.
الأسماء البديلة	Granger test, GC test, predictive causality test, Granger non-causality test	VAR, VAR model, vector autoregressive model, multivariate autoregression
ذات صلة	5	5
الملخص	The 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.	Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.