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