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Spatial econometrics: methods and models / Luc Anselin (1988)

Public Titre : Spatial econometrics: methods and models Type de document : Monographie Auteurs : Luc Anselin, Auteur Editeur : Dordrecht : Kluwer Academic Publishers Année de publication : 1988 Importance : 284 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-90-247-3735-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques [Termes IGN] analyse spatiale [Termes IGN] économétrie [Termes IGN] géostatistique [Termes IGN] inférence statistique [Termes IGN] méthode du maximum de vraisemblance (estimation) [Termes IGN] processus spatial [Termes IGN] processus stochastique [Termes IGN] statistique mathématique Index. décimale : 23.60 Statistiques et probabilités Résumé : (auteur) Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis. Note de contenu : Introduction 1 - Foundations for econometric analysis for spatial processes 2 - Estimation and hypothesis testing 3 - Model validation Conclusion Numéro de notice : 21542 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/MATHEMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90487

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
21542-01	23.60	Livre	Centre de documentation	Mathématiques	Disponible