方法对比
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| 格兰杰因果检验× | 向量误差修正模型 (VECM)× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1969 | 1987 |
| 提出者≠ | Clive W. J. Granger | Engle & Granger |
| 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 ↗ | Engle, R. F. & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. DOI ↗ |
| 别名 | Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi | vector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli) |
| 相关≠ | 5 | 4 |
| 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. | The Vector Error Correction Model is a multivariate time-series model for cointegrated series that captures both their short-run dynamics and their long-run equilibrium relationship. It was introduced by Engle and Granger in 1987 as part of the cointegration and error-correction framework. |
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