Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Ruimte-Tijd Ruimtelijk Durbin Model (ST-SDM)× | Ruimtelijk Durbin Model (SDM)× | |
|---|---|---|
| Vakgebied | Ruimtelijke analyse | Ruimtelijke analyse |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 2009-2014 | 2009 |
| Grondlegger≠ | LeSage & Pace; extended to space-time by Elhorst | LeSage & Pace |
| Type≠ | Spatial econometric panel model | Spatial regression model |
| Oorspronkelijke bron≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| Aliassen≠ | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM | SDM, spatial mixed model, uzamsal durbin modeli |
| Verwant≠ | 6 | 5 |
| 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 Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases. |
| ScholarGateGegevensset ↗ |
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