σ‐convergence in the presence of spatial effects

Sergio J. Rey and Boris Dev

Papers in Regional Science, 2006, vol. 85, issue 2, 217-234

Abstract: Abstract. This paper explores the implications that spatial effects can hold for the application of measures of σ‐convergence. The bias of a common indicator of σ‐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 σ‐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.

Date: 2006
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Citations: View citations in EconPapers (32)

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https://doi.org/10.1111/j.1435-5957.2006.00083.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:presci:v:85:y:2006:i:2:p:217-234

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