Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Telpiskais laika telpiskais nobīdes modelis× | Telp-laika telpiskās Durbina modelis (ST-SDM)× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 2003-2008 | 2009-2014 |
| Autors≠ | Anselin, Le Gallo & Jayet; Elhorst | LeSage & Pace; extended to space-time by Elhorst |
| Tips≠ | Spatial panel regression | Spatial econometric panel model |
| Pirmavots≠ | 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 |
| Citi nosaukumi | 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 |
| Saistītās≠ | 5 | 6 |
| Kopsavilkums≠ | 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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