So sánh phương pháp

	Kiểm định nhân quả Granger	Mô hình Tự hồi quy Vector (VAR)
Lĩnh vực	Kinh tế lượng	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	1969	1980
Người khởi xướng	Clive W. J. Granger	Christopher A. Sims
Loại	Causality test (F-test on VAR)	Multivariate time-series model
Công trình gốc	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.
Tên gọi khác	Granger test, GC test, predictive causality test, Granger non-causality test	VAR, VAR model, vector autoregressive model, multivariate autoregression
Liên quan	5	5
Tóm tắt	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.