方法对比
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| 时空空间滞后模型× | 时空空间误差模型× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2003-2008 | 1988 (SEM); 2003 (panel/space-time extension) |
| 提出者≠ | Anselin, Le Gallo & Jayet; Elhorst | Anselin (1988); panel extension by Elhorst (2003, 2014) |
| 类型 | Spatial panel regression | Spatial panel regression |
| 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 ↗ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737247 |
| 别名 | ST-SAR, spatial-temporal lag model, spatiotemporal autoregressive model, space-time SAR model | SEM panel, spatial error panel model, space-time SEM, spatiotemporal error model |
| 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 Error Model (space-time SEM) is a spatial panel regression technique that accounts for spatial dependence confined to the error term across geographic units and time periods. It corrects biased inference caused by spatially correlated disturbances while estimating covariate effects on a panel of spatial observations. |
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