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Measuring regional inequality: to weight or not to weight?

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  • Konstantin Gluschenko

Abstract

Measuring regional inequality: to weight or not to weight? Spatial Economic Analysis. When estimating regional inequality, many economists use inequality indices weighted by regions’ proportion of the national population. Although this approach is widespread, its adequacy has not received attention in the regional science literature. This paper proves that such an approach is conceptually inconsistent, yielding an estimate of interpersonal inequality among the whole population of the country rather than an estimate of regional inequality. Nevertheless, as a measure of interpersonal inequality, such an estimate is very rough (even misleading) and does not always have an intuitive interpretation. Moreover, population-weighted inequality indices do not meet the requirements for an adequate measure of inequality.

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  • Konstantin Gluschenko, 2018. "Measuring regional inequality: to weight or not to weight?," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(1), pages 36-59, January.
    • Handle: RePEc:taf:specan:v:13:y:2018:i:1:p:36-59
    DOI: 10.1080/17421772.2017.1343491
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    8. Shifa, Muna & Leibbrandt, Murray, 2021. "Spatial Inequality in Sub-Saharan Africa," EconStor Preprints 244591, ZBW - Leibniz Information Centre for Economics.
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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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