विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पैनल स्पैटियल डर्बिन मॉडल× | पैनल स्थानिक प्रतिगमन× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2009–2010 | 1988-2014 |
| प्रवर्तक≠ | LeSage & Pace (2009); panel extension by Elhorst (2010) | Anselin, Elhorst, and colleagues in spatial econometrics |
| प्रकार | Spatial panel regression | Spatial panel regression |
| मौलिक स्रोत | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 |
| उपनाम | SDM panel, spatial Durbin panel model, panel SDM, PSDM | spatial panel model, panel spatial econometrics, spatial panel data regression, PSR |
| संबंधित≠ | 5 | 6 |
| सारांश≠ | 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. | 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. |
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