Comparer des méthodes

	Modèle d'erreur spatiale spatio-temporel	Modèle d'erreur spatiale (SEM)
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1988 (SEM); 2003 (panel/space-time extension)	1988
Auteur d'origine	Anselin (1988); panel extension by Elhorst (2003, 2014)	Anselin
Type	Spatial panel regression	Spatial regression (spatially autocorrelated errors)
Source fondatrice	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737247	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.
Alias	SEM panel, spatial error panel model, space-time SEM, spatiotemporal error model	SEM, spatial error regression, spatial autoregressive error model, Uzamsal Hata Modeli (SEM / Spatial Error)
Apparentées	6	5
Résumé	The Space-Time Spatial Error Model (space-time SEM) is a spatial panel regression technique that accounts for spatial dependence confined to the error term across geographic units and time periods. It corrects biased inference caused by spatially correlated disturbances while estimating covariate effects on a panel of spatial observations.	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.