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| 格兰杰因果检验× | 向量自回归 (VAR)× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1969 | 1980 |
| 提出者≠ | Clive W. J. Granger | Christopher A. Sims |
| 类型≠ | Time-series predictive causality test | Multivariate time-series model |
| 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 ↗ | Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗ |
| 别名 | Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi | VAR, VAR model, vector autoregressive model, multivariate autoregression |
| 相关 | 5 | 5 |
| 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. | 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. |
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