Discrete regional distributional dynamics revisited

Sergio J. Rey

Revue d'économie régionale et urbaine, 2015, vol. mai, issue 1, 83-104

Abstract: Discrete Markov chain theory has played a major role in the literature on regional income distributional dynamics. This paper examines a selection of methodological issues and choices related to the implementation of this framework, focusing on: [1] specification of class-state boundaries; [2] use of population weighted or unweighted transitions; and [3] conditioning to incorporate spatial effects. Empirical evidence on the individual, as well as joint, effects of these choices are provided in a case study of Us regional incomes from 1929-2011. Measures of income mobility in Us distribution dynamics are found to be strongly influenced by the choice of population weighting, specification of class boundaries, and the measurement of inter versus intra-regional conditioning.

Keywords: distributional dynamics; Markov chains; regional income convergence (search for similar items in EconPapers)
Date: 2015
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