Spatial analysis of economic convergence

Sergio J. Rey, Julie Le Gallo

Research output: Chapter in Book/Report/Conference proceedingChapter

51 Scopus citations


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
Subtitle of host publicationVolume 2: Applied Econometrics
PublisherPalgrave Macmillan
Number of pages40
ISBN (Electronic)9780230244405
ISBN (Print)9781403917997
StatePublished - Jan 1 2009

ASJC Scopus subject areas

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


Dive into the research topics of 'Spatial analysis of economic convergence'. Together they form a unique fingerprint.

Cite this