Spatial Econometrics : Statistical Foundations and Applications to Regional Convergence

Giuseppe Arbia

ISBN 10: 354032304X / ISBN 13: 9783540323044

Edité par Springer Berlin Heidelberg, 2006

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - In recent years the so-called new economic geography and the issue of regional economic convergence have increasingly drawn the interest of economists to the empirical analysis of regional and spatial data. However, even if the methodology for econometric treatment of spatial data is well developed, there does not exist a textbook theoretically grounded, well motivated and easily accessible to eco- mists who are not specialists. Spatial econometric techniques receive little or no attention in the major econometric textbooks. Very occasionally the standard econometric textbooks devote a few paragraphs to the subject, but most of them simply ignore the subject. On the other hand spatial econometric books (such as Anselin, 1988 or Anselin, Florax and Rey, 2004) provide comprehensive and - haustive treatments of the topic, but are not always easily accessible for people whose main degree is not in quantitative economics or statistics. This book aims at bridging the gap between economic theory and spatial stat- tical methods. It starts by strongly motivating the reader towards the problem with examples based on real data, then provides a rigorous treatment, founded on s- chastic fields theory, of the basic spatial linear model, and finally discusses the simpler cases of violation of the classical regression assumptions that occur when dealing with spatial data.

N° de réf. du vendeur 9783540323044

Détails bibliographiques

• Titre: Spatial Econometrics : Statistical Foundations and Applications to Regional Convergence
• Éditeur: Springer Berlin Heidelberg
• Date de parution: 2006
• Langue: anglais
• ISBN à 10 chiffres: 354032304X
• ISBN à 13 chiffres: 9783540323044
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 17 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 17 millimètres de profondeur
• Poids: 512 grammes

A propos de ce titre

Synopsis

In recent years the so-called new economic geography and the issue of regional economic convergence have increasingly drawn the interest of economists to the empirical analysis of regional and spatial data. However, even if the methodology for econometric treatment of spatial data is well developed, there does not exist a textbook theoretically grounded, well motivated and easily accessible to eco- mists who are not specialists. Spatial econometric techniques receive little or no attention in the major econometric textbooks. Very occasionally the standard econometric textbooks devote a few paragraphs to the subject, but most of them simply ignore the subject. On the other hand spatial econometric books (such as Anselin, 1988 or Anselin, Florax and Rey, 2004) provide comprehensive and - haustive treatments of the topic, but are not always easily accessible for people whose main degree is not in quantitative economics or statistics. This book aims at bridging the gap between economic theory and spatial stat- tical methods. It starts by strongly motivating the reader towards the problem with examples based on real data, then provides a rigorous treatment, founded on s- chastic fields theory, of the basic spatial linear model, and finally discusses the simpler cases of violation of the classical regression assumptions that occur when dealing with spatial data.