Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Ruimte-Tijd Ruimtelijk Durbin Model (ST-SDM)× | Spatiaal Lag Model (SAR / Spatiale Autoregressie)× | |
|---|---|---|
| Vakgebied | Ruimtelijke analyse | Ruimtelijke analyse |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 2009-2014 | 1988 |
| Grondlegger≠ | LeSage & Pace; extended to space-time by Elhorst | Anselin (textbook formalisation); LeSage & Pace |
| Type≠ | Spatial econometric panel model | Spatial autoregressive 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. DOI ↗ |
| Aliassen | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| 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 Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts. |
| ScholarGateGegevensset ↗ |
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