Spatial Econometrics: Methods and Applications

Author:   Giuseppe Arbia ,  Badi H. Baltagi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2009 ed.
ISBN:  

9783790820690


Pages:   281
Publication Date:   12 November 2008
Format:   Hardback
Availability:   In Print   Availability explained
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Spatial Econometrics: Methods and Applications


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Overview

Spatial Econometrics is a rapidly evolving field born from the joint efforts of economists, statisticians, econometricians and regional scientists. The book provides the reader with a broad view of the topic by including both methodological and application papers. Indeed the application papers relate to a number of diverse scientific fields ranging from hedonic models of house pricing to demography, from health care to regional economics, from the analysis of R&D spillovers to the study of retail market spatial characteristics. Particular emphasis is given to regional economic applications of spatial econometrics methods with a number of contributions specifically focused on the spatial concentration of economic activities and agglomeration, regional paths of economic growth, regional convergence of income and productivity and the evolution of regional employment. Most of the papers appearing in this book were solicited from the International Workshop on Spatial Econometrics and Statistics held in Rome (Italy) in 2006.

Full Product Details

Author:   Giuseppe Arbia ,  Badi H. Baltagi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   2009 ed.
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   1.280kg
ISBN:  

9783790820690


ISBN 10:   3790820695
Pages:   281
Publication Date:   12 November 2008
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Errors in variables and spatial effects in hedonic house price models of ambient air quality.- A generalized method of moments estimator for a spatial model with moving average errors, with application to real estate prices.- Spatial analysis of urban growth in Spain, 1900–2001.- A class of spatial econometric methods in the empirical analysis of clusters of firms in the space.- A spatially filtered mixture of ?-convergence regressions for EU regions, 1980–2002.- Spatial shift-share analysis versus spatial filtering: an application to Spanish employment data.- R&D spillovers and firms' performance in Italy Evidence from a flexible production function.- The impact of decentralization and inter-territorial interactions on Spanish health expenditure.- Regional evidence on financial development, finance term structure and growth.- Convergence in per-capita GDP across European regions: a reappraisal.- Locational choice and price competition: some empirical results for the austrian retail gasoline market.- Dynamic spatial modelling of regional convergence processes.- Spatial and supply/demand agglomeration economies: State- and industry-linkages in the U.S. food system.

Reviews

From the reviews: <p> Arbiaa (TM)s relatively short text contains six chapters devoted to spatial econometrics, and the author indicates it could be used a ~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 problemsa (TM) a ] . (James P. LeSage, Journal of Regional Science, Vol. 47 (3), 2007)


From the reviews: Arbiaa (TM)s relatively short text contains six chapters devoted to spatial econometrics, and the author indicates it could be used a ~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 problemsa (TM) a ] . (James P. LeSage, Journal of Regional Science, Vol. 47 (3), 2007)


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