Spatial Empirics for Economic Growth and Convergence

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...

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Bibliographic Details
Published in:Geographical analysis 2001-07, Vol.33 (3), p.195-214
Main Author: Rey, Sergio J.
Format: Article
Language:English
Subjects:
Analysis
Bgi / Prodig
Convergence (Mathematics)
Economic aspects
Economic development
Economic growth
Empirical research
Geography
Human geography
Income distribution
Markov processes
Markovian processes
Political and economic geography
Regional economics
Regional economy and planning
Space
Space and time
Spatial analysis
U.S.A
United States
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Summary: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.
ISSN:0016-7363
1538-4632
DOI:10.1111/j.1538-4632.2001.tb00444.x