方法对比
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| 面板向量误差修正模型 (Panel VECM)× | 面板格兰杰因果检验× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1987–1995 | 1988–2012 |
| 提出者≠ | Engle & Granger (1987) for VECM; Holtz-Eakin, Newey & Rosen (1988) for panel VAR extension | Holtz-Eakin, Newey & Rosen (1988); Dumitrescu & Hurlin (2012) |
| 类型≠ | Multivariate dynamic panel model | Causality test |
| 开创性文献≠ | Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗ | Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. DOI ↗ |
| 别名 | Panel VECM, panel vector error correction model, PVECM, panel cointegrating VAR | panel causality test, Dumitrescu-Hurlin test, heterogeneous panel causality, panel Granger test |
| 相关 | 5 | 5 |
| 摘要≠ | Panel VECM combines vector error correction modelling with panel data, simultaneously capturing the long-run cointegrating equilibrium among multiple I(1) variables and their short-run adjustment dynamics across multiple cross-sectional units. It is the standard framework when panel variables share at least one common stochastic trend. | The Panel Granger Causality test examines whether past values of one variable help predict another variable across multiple cross-sectional units observed over time. It extends the classical Granger causality framework to panel data, accounting for cross-sectional heterogeneity and enabling more powerful inference by pooling information across units. |
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