Spatial Econometrics: Statistical Foundations and Applications to Regional Convergence (Advances in Spatial Science)

Giuseppe Arbia

ISBN 10: 354032304X / ISBN 13: 9783540323044

Published by Springer, 2006

About this Item

Ancien livre de bibliothèque avec équipements. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Bibliographic Details

• Title: Spatial Econometrics: Statistical Foundations and Applications to Regional Convergence (Advances in Spatial Science)
• Publisher: Springer
• Publication Date: 2006
• Language: English
• ISBN 10: 354032304X
• ISBN 13: 9783540323044
• Binding: Hardcover
• Condition: Très bon

About this title

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.

Review

From the reviews:

"Arbia’s relatively short text contains six chapters devoted to spatial econometrics, and the author indicates it could be used ‘as a textbook for post-graduate introductory course of around 20/30 hours, or as a reference book for post-graduate students engaged in Ph.D. work on quantitative economics (or other social sciences), involving spatial econometric estimation problems’ ... ." (James P. LeSage, Journal of Regional Science, Vol. 47 (3), 2007)