Spatial econometrics : statistical foundations and applications to regional convergence / Giuseppe Arbia
Tipo de material:
TextoSeries Advances in spatial scienceDetalles de publicación: Berlin : Springer, 2006 Descripción: XVII, 207 p. ; 24 cmISBN: 3-540-32304-XTema(s): Espacio (Economía) -- Modelos econométricos | Economía regional -- Modelos econométricosResumen: The new economic geography and the debate on regional economic convergence have drawn increasingly the interest of economists in the empirical analysis of regional and spatial data. However, even if the methodology for the econometric treatment of spatial data is well developed, there does not exist a book without strong pre-requisites that is easily accessible to economists. This book bridges the gap between economic theory and spatial econometric techniques. It is easy accessible to people with only basic statistical background and no prior knowledge of spatial econometric methods. It provides a comprehensive treatment of the topic by motivating the reader with examples and real data analysis. The volume provides a rigorous treatment, founded on stochastic fields theory, of the basic spatial linear model, and discusses the violations of the classical regression assumptions that occur when dealing with spatial data.
| Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
|---|---|---|---|---|---|---|---|
| Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 330.115/ARB/spa (Navegar estantería(Abre debajo)) | Texto completo | Disponible Ubicación en estantería | Bibliomaps® | 374154956X |
Indice
Bibliografía: p. [167]-189
The new economic geography and the debate on regional economic convergence have drawn increasingly the interest of economists in the empirical analysis of regional and spatial data. However, even if the methodology for the econometric treatment of spatial data is well developed, there does not exist a book without strong pre-requisites that is easily accessible to economists. This book bridges the gap between economic theory and spatial econometric techniques. It is easy accessible to people with only basic statistical background and no prior knowledge of spatial econometric methods. It provides a comprehensive treatment of the topic by motivating the reader with examples and real data analysis. The volume provides a rigorous treatment, founded on stochastic fields theory, of the basic spatial linear model, and discusses the violations of the classical regression assumptions that occur when dealing with spatial data.
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