Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Ruimtelijke analyse op basis van panelnetwerken× | Panel Ruimtelijk Durbin Model× | |
|---|---|---|
| Vakgebied | Ruimtelijke analyse | Ruimtelijke analyse |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 2000s–2010s | 2009–2010 |
| Grondlegger≠ | Developed from LeSage & Pace spatial econometrics and Elhorst panel spatial frameworks | LeSage & Pace (2009); panel extension by Elhorst (2010) |
| Type≠ | Panel spatial regression | Spatial panel regression |
| Oorspronkelijke bron≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 |
| Aliassen | panel spatial network analysis, longitudinal network spatial analysis, panel network spatial econometrics, PNBSA | SDM panel, spatial Durbin panel model, panel SDM, PSDM |
| Verwant | 5 | 5 |
| Samenvatting≠ | Panel Network-Based Spatial Analysis extends standard spatial econometric models to repeated-measures (panel) data by representing spatial dependence through network connectivity rather than simple geographic proximity. It captures how units connected in a network influence each other's outcomes over time, while controlling for unit-level and time-level fixed effects. | 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. |
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