A Note on Inequality Measures for Mixtures of Double Pareto-Lognormal Distributions

William Griffiths (), Duangkamon Chotikapanich () and Gholamreza Hajargasht ()

No 14/21, Monash Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics

Abstract: Formulas are derived for the Gini, Theil and Pietra coefficients for a population-weighted mixture of double Pareto-lognormal distributions; they are applied to South America for two years. Results are also provided for the special case Pareto-lognormal and lognormal distributions. The formulas are useful for measuring regional or global inequality in large-scale projects that utilise double Pareto-lognormal distributions or their special cases.

Keywords: Gini coefficient; Theil index; Pietra index (search for similar items in EconPapers)
Pages: 19
Date: 2021
New Economics Papers: this item is included in nep-dcm and nep-ppm
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