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to the concepts of ƒã- and ƒÒ-convergence and emphasizes the importance of including spatial effects and a disaggregated … analysis at a sectoral level. We detect a significant -convergence only in aggregate labor productivity and in the services … sectors among peripheral regions. We also show that omitting spatial effects leads to biased measures of -convergence. We then …
Persistent link: https://www.econbiz.de/10005119010
This paper examines the relationship between spatial clustering and inequality at the county scale with overall state per capita income in the U.S. over the period 1969-2000. For each of the 48 coterminous states we examine measures of inequality and spatial clustering and explore how a state's...
Persistent link: https://www.econbiz.de/10005062513
This paper introduces three measures of spatial dependence for use in the analysis of regional income distributions and their evolution. The first builds upon the notion of regional conditioning (Quah 1993), and is derived as a trace statistic from a modified Markov transition matrix. The...
Persistent link: https://www.econbiz.de/10005124888
having no such a trend. It is found that s-convergence of regional prices takes place, implying that, despite the presence of …
Persistent link: https://www.econbiz.de/10005407856
This paper explores the implications that spatial effects can hold for the application of measures of sigma-convergence …. The bias of a common indicator of convergence is examined for a family of spatial process models including: [a] spatial … lag, [b] spatial error, and [c] spatial moving average. We show that the measure of sigma-convergence is sensitive to a …
Persistent link: https://www.econbiz.de/10005118990