Comparer des méthodes

	Autocorrélation spatiale de panel	Modèle d'erreur spatiale de panel
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1988–2003	1988 / 2003
Auteur d'origine	Anselin, L.; Elhorst, J. P.	Anselin (1988); extended to panels by Elhorst (2003, 2014)
Type	Diagnostic test / exploratory statistic	Spatial econometric panel model
Source fondatrice	Anselin, L. (2013). Spatial Econometrics: Methods and Models. Springer Netherlands. (Originally published 1988.) ISBN: 978-9401577991	Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408
Alias	spatial autocorrelation in panel data, panel spatial dependence, spatio-temporal autocorrelation, cross-sectional dependence in panels	panel SEM, spatial error panel model, panel spatial autocorrelation error model, SEM panel
Apparentées	5	5
Résumé	Panel Spatial Autocorrelation measures whether observations that are geographically close also tend to have similar values across repeated time periods. It extends classic cross-sectional spatial autocorrelation statistics such as Moran's I to panel data, enabling researchers to detect spatial dependence consistently over time and to diagnose whether a panel regression model requires a spatial component.	The Panel Spatial Error Model (panel SEM) extends the classical spatial error model to panel data, allowing spatial dependence to enter through the error term across cross-sectional units over multiple time periods. It accounts for spatially correlated omitted variables without imposing a substantive spatial spillover in the outcome itself.