方法对比
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| 时空空间滞后模型× | 时空空间杜宾模型 (ST-SDM)× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2003-2008 | 2009-2014 |
| 提出者≠ | Anselin, Le Gallo & Jayet; Elhorst | LeSage & Pace; extended to space-time by Elhorst |
| 类型≠ | Spatial panel regression | Spatial econometric panel model |
| 开创性文献≠ | Anselin, L., Le Gallo, J., & Jayet, H. (2008). Spatial Panel Econometrics. In L. Matyas & P. Sevestre (Eds.), The Econometrics of Panel Data (pp. 625-660). Springer. link ↗ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 |
| 别名 | ST-SAR, spatial-temporal lag model, spatiotemporal autoregressive model, space-time SAR model | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM |
| 相关≠ | 5 | 6 |
| 摘要≠ | The Space-Time Spatial Lag Model extends the classic spatial autoregressive (SAR) lag model to panel data, capturing how the outcome in each location at each time point is influenced by the contemporaneous outcomes of neighboring locations, while also controlling for unit-specific and time-specific fixed effects. | 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. |
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