Spatial empirics for economic growth and convergence

S. J. Rey

Research output: Contribution to journalArticle

166 Citations (Scopus)

Abstract

This paper suggests some new empirical strategies for analyzing the evolution of regional income distributions over time and space. These approaches are based on extensions to the classical Markov transition matrices that allow for a more comprehensive analysis of the geographical dimensions of the transitional dynamics. This is achieved by integrating some recently developed local spatial statistics within a Markov framework. Insights to not only the frequency with which one economy may transition across different classes in the income distribution, but also how those transitions may or may not be spatially dependent are provided by these new measures. A number of indices are suggested as ways to characterize the space-time dynamics and are illustrated in a case study of U.S. regional income dynamics over the 1929-1994 period.

Original languageEnglish (US)
Pages (from-to)195-214
Number of pages20
JournalGeographical Analysis
Volume33
Issue number3
StatePublished - 2001
Externally publishedYes

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empirics
income distribution
economic growth
statistics
income
matrix
economy
time
analysis
index

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

Spatial empirics for economic growth and convergence. / Rey, S. J.

In: Geographical Analysis, Vol. 33, No. 3, 2001, p. 195-214.

Research output: Contribution to journalArticle

Rey, S. J. / Spatial empirics for economic growth and convergence. In: Geographical Analysis. 2001 ; Vol. 33, No. 3. pp. 195-214.
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