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。
| 时空空间杜宾模型 (ST-SDM)× | 面板空间杜宾模型× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2009-2014 | 2009–2010 |
| 提出者≠ | LeSage & Pace; extended to space-time by Elhorst | LeSage & Pace (2009); panel extension by Elhorst (2010) |
| 类型≠ | Spatial econometric panel model | Spatial panel regression |
| 开创性文献≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 |
| 别名 | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM | SDM panel, spatial Durbin panel model, panel SDM, PSDM |
| 相关≠ | 6 | 5 |
| 摘要≠ | The Space-Time Spatial Durbin Model extends the cross-sectional Spatial Durbin Model to panel data, simultaneously capturing spatial spillovers in both the dependent variable and the explanatory variables across space and over time. It is the most general and flexible specification in the spatial panel family, nesting the spatial lag and spatial error models as special cases. | The Panel Spatial Durbin Model (PSDM) extends the cross-sectional Spatial Durbin Model to panel data, capturing both spatial lag dependence in the outcome and spatial spillovers from neighbouring units' explanatory variables across multiple time periods. It simultaneously accounts for unobserved unit-specific and time-specific heterogeneity, making it one of the most comprehensive spatial panel specifications available. |
| ScholarGate数据集 ↗ |
|
|