Spatial Econometrics (eBook, PDF)

Methods and Applications
Redaktion: Arbia, Giuseppe; Baltagi, Badi H.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Physica-Verlag HD
• Seitenzahl: 281
• Erscheinungstermin: 14. November 2008
• Englisch
• ISBN-13: 9783790820706
• Artikelnr.: 37398791

Autorenporträt

Giuseppe Arbia, University G. d' Annunzio of Chieti-Pescara, Pescara, Italy

Inhaltsangabe

Motivation.- Random Fields and Spatial Models.- Likelihood Function for Spatial Samples.- The Linear Regression Model with Spatial Data.- Italian and European ?-convergence Models Revisited.- Looking Ahead: A Review of More Advanced Topics in Spatial Econometrics.

Rezensionen

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)