On the suitability of income inequality measures for regional analysis: Some evidence from simulation analysis and bootstrapping tests
AbstractThe paper looks at the sensitivity of commonly used income inequality measures to changes in the ranking, size and number of regions into which a country is divided. During the analysis, several test distributions of populations and incomes are compared with a 'reference' distribution, characterized by an even distribution of population across regional subdivisions. Random permutation tests are also run to determine whether inequality measures commonly used in regional analysis produce meaningful estimates when applied to regions of different population size. The results show that only the population weighted coefficient of variation (Williamson's index) and population-weighted Gini coefficient may be considered sufficiently reliable inequality measures, when applied to countries with a small number of regions and with varying population sizes.
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Bibliographic InfoArticle provided by Elsevier in its journal Socio-Economic Planning Sciences.
Volume (Year): 44 (2010)
Issue (Month): 4 (December)
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Web page: http://www.elsevier.com/locate/seps
Regions Inequality measures Bootstrapping Random permutation tests;
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