方法对比
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| 时空空间误差模型× | 时空空间回归× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1988 (SEM); 2003 (panel/space-time extension) | 1990s–2000s |
| 提出者≠ | Anselin (1988); panel extension by Elhorst (2003, 2014) | Anselin, LeSage, Pace and colleagues in spatial econometrics |
| 类型≠ | Spatial panel regression | Spatio-temporal regression model |
| 开创性文献≠ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737247 | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 |
| 别名 | SEM panel, spatial error panel model, space-time SEM, spatiotemporal error model | spatio-temporal regression, spatial panel regression, space-time regression, ST spatial regression |
| 相关 | 6 | 6 |
| 摘要≠ | 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. | Space-Time Spatial Regression extends classical spatial regression to panel settings where georeferenced units are observed across multiple time periods. By embedding a spatial weights matrix into a panel regression framework, it simultaneously controls for spatial dependence among cross-sectional units and temporal dynamics, yielding unbiased and consistent estimates in spatio-temporal data. |
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