方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 面板 Johansen 协整检验× | 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≠ | 2001 | 1988–2012 |
| 提出者≠ | Larsson, Lyhagen & Lothgren (building on Johansen 1988/1991) | Holtz-Eakin, Newey & Rosen (1988); Dumitrescu & Hurlin (2012) |
| 类型≠ | Panel cointegration test | Causality test |
| 开创性文献≠ | Larsson, R., Lyhagen, J., & Lothgren, M. (2001). Likelihood-based cointegration tests in heterogeneous panels. Econometrics Journal, 4(1), 109–142. 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 Johansen test, Larsson-Lyhagen-Lothgren test, LLL panel cointegration, panel trace test | panel causality test, Dumitrescu-Hurlin test, heterogeneous panel causality, panel Granger test |
| 相关 | 5 | 5 |
| 摘要≠ | The Panel Johansen cointegration test extends Johansen's maximum-likelihood framework to panel data, allowing researchers to test whether multiple non-stationary variables share long-run equilibrium relationships across cross-sectional units. It pools the likelihood-ratio statistics from individual Johansen tests and compares the standardised average against a standard normal distribution, yielding greater power than single-country approaches. | 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. |
| ScholarGate数据集 ↗ |
|
|