Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Telp-laika telpiskās Durbina modelis (ST-SDM)× | Panel Spatial Durbin Model× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 2009-2014 | 2009–2010 |
| Autors≠ | LeSage & Pace; extended to space-time by Elhorst | LeSage & Pace (2009); panel extension by Elhorst (2010) |
| Tips≠ | Spatial econometric panel model | Spatial panel regression |
| Pirmavots≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 |
| Citi nosaukumi | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM | SDM panel, spatial Durbin panel model, panel SDM, PSDM |
| Saistītās≠ | 6 | 5 |
| Kopsavilkums≠ | 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 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. |
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