Overview
- Statistical approach to spatial econometrics
- Easily accessible to people with low statistical background
- Didactic approach motivating the readers with examples and real data analysis
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Spatial Science (ADVSPATIAL)
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About this book
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.
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Keywords
Table of contents (6 chapters)
Reviews
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)
Authors and Affiliations
Bibliographic Information
Book Title: Spatial Econometrics
Book Subtitle: Statistical Foundations and Applications to Regional Convergence
Authors: Giuseppe Arbia
Series Title: Advances in Spatial Science
DOI: https://doi.org/10.1007/3-540-32305-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-32304-4Published: 16 March 2006
Softcover ISBN: 978-3-642-06884-3Published: 28 October 2010
eBook ISBN: 978-3-540-32305-1Published: 08 June 2006
Series ISSN: 1430-9602
Series E-ISSN: 2197-9375
Edition Number: 1
Number of Pages: XVIII, 207
Number of Illustrations: 19 b/w illustrations
Topics: Econometrics, Economic Theory/Quantitative Economics/Mathematical Methods, Regional/Spatial Science, Statistics for Business, Management, Economics, Finance, Insurance, Geographical Information Systems/Cartography