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Prostorni model pogreške (SEM)×Prostorni Durbin model (SDM)×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka19882009
TvoracAnselinLeSage & Pace
VrstaSpatial regression (spatially autocorrelated errors)Spatial regression model
Temeljni izvorAnselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗
Drugi naziviSEM, spatial error regression, spatial autoregressive error model, Uzamsal Hata Modeli (SEM / Spatial Error)SDM, spatial mixed model, uzamsal durbin modeli
Srodne55
SažetakThe 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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ScholarGateUsporedite metode: Spatial Error Model · Spatial Durbin Model. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare