Spatial analysis of economic convergence

Sergio J. Rey, Julie Le Gallo

Research output: Chapter in Book/Report/Conference proceedingChapter

36 Scopus citations

Abstract

This chapter reviews some of the major econometric models, approaches and issues related to the spatial dimensions of economic convergence and inequality. Key themes concern the implications of spatial dependence (autocorrelation) and heterogeneity for the specification, estimation, and interpretation of convergence models on the one hand and, on the other, the treatment of these spatial effects in the analysis of distributional dynamics and the application of related exploratory data analysis methods. We draw linkages between recent contributions in the mainstream econometric literature and developments in spatial econometrics and regional science We identify a number of areas where cross-fertilization between these fields would be beneficial.

Original languageEnglish (US)
Title of host publicationPalgrave Handbook of Econometrics: Volume 2: Applied Econometrics
PublisherPalgrave Macmillan
Pages1251-1290
Number of pages40
ISBN (Electronic)9780230244405
ISBN (Print)9781403917997
DOIs
StatePublished - Jan 1 2009

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

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