Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Тест Ґранджера на причинність× | Векторна авторегресія (VAR)× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1969 | 1980 |
| Автор методу≠ | Clive W. J. Granger | Christopher A. Sims |
| Тип≠ | Time-series predictive causality test | Multivariate time-series model |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви | Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi | VAR, VAR model, vector autoregressive model, multivariate autoregression |
| Пов'язані | 5 | 5 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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