Comparar métodos

	Modelo de Retardo Espacial (SAR / Autoregresivo Espacial)	Modelo de Error Espacial (SEM)
Campo	Análisis espacial	Análisis espacial
Familia	Regression model	Regression model
Año de origen	1988	1988
Autor original	Anselin (textbook formalisation); LeSage & Pace	Anselin
Tipo	Spatial autoregressive regression	Spatial regression (spatially autocorrelated errors)
Fuente seminal	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.
Alias	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)	SEM, spatial error regression, spatial autoregressive error model, Uzamsal Hata Modeli (SEM / Spatial Error)
Relacionados	5	5
Resumen	The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.	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.