Spatial Empirics for Economic Growth and Convergence

2001/07/01 by Sergio J. Rey · 429 citations
Economics, Econometrics and Finance · Mathematics · #Computer science #Convergence (economics) #Distribution (mathematics) #Dynamics (music) #Econometrics #Economic Growth and Productivity #Economic geography #Economic growth #Economics #Markov chain #Mathematics #Regional Economic and Spatial Analysis #Regional Economics and Spatial Analysis #Sociology #Space (punctuation) #Statistics #Transition (genetics)

paper · pdf · doi:10.1111/j.1538-4632.2001.tb00444.x

published in Geographical Analysis 33(3), 195-214 (Wiley)

openalex publication_date 2001/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

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.

Citations

• Local Indicators of Spatial Association—LISA
• A Contribution to the Empirics of Economic Growth

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