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| Panel Spatial Regression× | Spatial-Lag-Modell (SAR / Spatial Autoregressive)× | |
|---|---|---|
| Fachgebiet | Räumliche Analyse | Räumliche Analyse |
| Familie | Regression model | Regression model |
| Entstehungsjahr≠ | 1988-2014 | 1988 |
| Urheber≠ | Anselin, Elhorst, and colleagues in spatial econometrics | Anselin (textbook formalisation); LeSage & Pace |
| Typ≠ | Spatial panel regression | Spatial autoregressive regression |
| Wegweisende Quelle≠ | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| Aliasnamen | spatial panel model, panel spatial econometrics, spatial panel data regression, PSR | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| Verwandt≠ | 6 | 5 |
| Zusammenfassung≠ | 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. | 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. |
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