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 language||English (US)|
|Title of host publication||Palgrave Handbook of Econometrics: Volume 2: Applied Econometrics|
|Number of pages||40|
|State||Published - Jan 1 2009|
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)