Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Muundo wa Paneli wa Spatial Durbin× | Uchambuzi wa Data wa Paneli wa Ruwaza za Anga× | |
|---|---|---|
| Nyanja | Uchanganuzi wa Kimaeneo | Uchanganuzi wa Kimaeneo |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 2009–2010 | 1988-2014 |
| Mwanzilishi≠ | LeSage & Pace (2009); panel extension by Elhorst (2010) | Anselin, Elhorst, and colleagues in spatial econometrics |
| Aina | Spatial panel regression | Spatial panel regression |
| Chanzo asilia | 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 |
| Majina mbadala | SDM panel, spatial Durbin panel model, panel SDM, PSDM | spatial panel model, panel spatial econometrics, spatial panel data regression, PSR |
| Zinazohusiana≠ | 5 | 6 |
| Muhtasari≠ | 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. |
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