Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Modelul Spațio-Temporal Spațial Durbin (ST-SDM)× | Modelul Durbin Spațial (SDM)× | |
|---|---|---|
| Domeniu | Analiză spațială | Analiză spațială |
| Familie | Regression model | Regression model |
| Anul apariției≠ | 2009-2014 | 2009 |
| Autorul original≠ | LeSage & Pace; extended to space-time by Elhorst | LeSage & Pace |
| Tip≠ | Spatial econometric panel model | Spatial regression model |
| Sursa seminală≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| Denumiri alternative≠ | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM | SDM, spatial mixed model, uzamsal durbin modeli |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | 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 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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