Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Тест на стійку причинність за Ґрендером× | Тест Ґранджера на причинність× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 2006 (robust variant); 1969 (original Granger) | 1969 |
| Автор методу≠ | Hacker & Hatemi-J (robust bootstrap variant); Granger (original causality concept) | Clive W. J. Granger |
| Тип≠ | Hypothesis test | Time-series predictive causality test |
| Основоположне джерело≠ | Hacker, R. S., & Hatemi-J, A. (2006). Tests for causality between integrated variables using asymptotic and bootstrap distributions: Theory and application. Applied Economics, 38(13), 1489–1500. DOI ↗ | Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗ |
| Інші назви | bootstrap Granger causality, heteroscedasticity-robust Granger causality, non-asymptotic Granger causality test, RGC | Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi |
| Пов'язані≠ | 4 | 5 |
| Підсумок≠ | Robust Granger causality extends the classic Granger causality framework by using bootstrap-based or heteroscedasticity-robust critical values rather than asymptotic chi-squared tables. This makes the test reliable in finite samples and when the data exhibit non-normality, heteroscedasticity, or near-integration, settings where the standard F- or Wald-based test is known to over-reject. | 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. |
| ScholarGateНабір даних ↗ |
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