So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Mô hình Panel Spatial Durbin (PSDM)× | Hồi quy Không gian Dữ liệu Bảng× | |
|---|---|---|
| Lĩnh vực | Phân tích không gian | Phân tích không gian |
| Họ | Regression model | Regression model |
| Năm ra đời≠ | 2009–2010 | 1988-2014 |
| Người khởi xướng≠ | LeSage & Pace (2009); panel extension by Elhorst (2010) | Anselin, Elhorst, and colleagues in spatial econometrics |
| Loại | Spatial panel regression | Spatial panel regression |
| Công trình gốc | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 |
| Tên gọi khác | SDM panel, spatial Durbin panel model, panel SDM, PSDM | spatial panel model, panel spatial econometrics, spatial panel data regression, PSR |
| Liên quan≠ | 5 | 6 |
| Tóm tắt≠ | 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. | Panel Spatial Regression extends standard panel data models by explicitly accounting for spatial dependence among cross-sectional units observed over time. It combines the temporal control of panel fixed or random effects with a spatial weights matrix that encodes geographic or network proximity, yielding unbiased and efficient estimates when observations are spatially correlated across units. |
| ScholarGateBộ dữ liệu ↗ |
|
|