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Modèle d'erreur spatiale de panel×Régression Pondérée Géographiquement (GWR)×
DomaineAnalyse spatialeAnalyse spatiale
FamilleRegression modelRegression model
Année d'origine1988 / 20032002
Auteur d'origineAnselin (1988); extended to panels by Elhorst (2003, 2014)Fotheringham, Brunsdon & Charlton
TypeSpatial econometric panel modelLocal spatial regression
Source fondatriceElhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Aliaspanel SEM, spatial error panel model, panel spatial autocorrelation error model, SEM panelGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Apparentées55
RésuméThe 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.Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships.
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  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Panel Spatial Error Model · Geographically Weighted Regression. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare