Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Ruimte-Tijd Ruimtelijk Durbin Model (ST-SDM)× | Ruimtelijke Foutmodel voor Ruimte-Tijd× | |
|---|---|---|
| Vakgebied | Ruimtelijke analyse | Ruimtelijke analyse |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 2009-2014 | 1988 (SEM); 2003 (panel/space-time extension) |
| Grondlegger≠ | LeSage & Pace; extended to space-time by Elhorst | Anselin (1988); panel extension by Elhorst (2003, 2014) |
| Type≠ | Spatial econometric panel model | Spatial panel regression |
| Oorspronkelijke bron≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737247 |
| Aliassen | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM | SEM panel, spatial error panel model, space-time SEM, spatiotemporal error model |
| Verwant | 6 | 6 |
| Samenvatting≠ | 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 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. |
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