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Sigma-convergence in the presence of spatial effects Author info | Abstract | Publisher info | Download info | Related research | Statistics Sergio J. Rey (San Diego State University)
Boris Dev (San Diego State University)
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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 number of distinct influences including global dispersion, spatial dependence and a variety of forms of spatial heterogeneity. We suggest a decomposition of the convergence indicator into two components: one reflecting global dispersion and one reflecting the influence of spatial effects. We then illustrate this approach with a case study of the U.S. states over the 1929-2000 period.
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Paper provided by EconWPA in its series Urban/Regional with number
0404008.
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Length: 21 pages
Date of creation: 21 Apr 2004Date of revision:
22 Apr 2004Handle: RePEc:wpa:wuwpur:0404008Note: Type of Document - ps; pages: 21Contact details of provider: Web page: http://129.3.20.41
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Keywords: convergence ; spatial dependence ; spatial heterogeneity ; Other versions of this item:
Find related papers by JEL classification: R - Urban, Rural, and Regional Economics
This paper has been announced in the following NEP Reports :
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