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)× | 空间杜宾模型 (SDM)× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2009-2014 | 2009 |
| 提出者≠ | LeSage & Pace; extended to space-time by Elhorst | LeSage & Pace |
| 类型≠ | Spatial econometric panel model | Spatial regression model |
| 开创性文献≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| 别名≠ | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM | SDM, spatial mixed model, uzamsal durbin modeli |
| 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 Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases. |
| ScholarGate数据集 ↗ |
|
|