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| Μοντέλο Χωρικού Σφάλματος (SEM)× | Χωρικό Μοντέλο Durbin (SDM)× | |
|---|---|---|
| Πεδίο | Χωρική Ανάλυση | Χωρική Ανάλυση |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1988 | 2009 |
| Δημιουργός≠ | Anselin | LeSage & Pace |
| Τύπος≠ | Spatial regression (spatially autocorrelated errors) | Spatial regression model |
| Θεμελιώδης πηγή≠ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | SEM, spatial error regression, spatial autoregressive error model, Uzamsal Hata Modeli (SEM / Spatial Error) | SDM, spatial mixed model, uzamsal durbin modeli |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | The Spatial Error Model, developed within Anselin's spatial econometrics framework (1988), is a regression model that assumes spatial dependence enters through the error term: the disturbances of neighbouring units are correlated. It is used when unobserved shared factors make the errors of nearby observations move together, and it is estimated by maximum likelihood or GMM rather than ordinary least squares. | 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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