The Gompertz–Pareto income distribution

F. Chami Figueira, N.J. Moura and Marcelo Ribeiro

Physica A: Statistical Mechanics and its Applications, 2011, vol. 390, issue 4, 689-698

Abstract: This work analyzes the Gompertz–Pareto distribution (GPD) of personal income, formed by the combination of the Gompertz curve, representing the overwhelming majority of the economically less favorable part of the population of a country, and the Pareto power law, which describes its tiny richest part. Equations for the Lorenz curve, Gini coefficient and the percentage share of the Gompertzian part relative to the total income are all written in this distribution. We show that only three parameters, determined by linear data fitting, are required for its complete characterization. Consistency checks are carried out using income data of Brazil from 1981 to 2007 and they lead to the conclusion that the GPD is consistent and provides a coherent and simple analytical tool to describe personal income distribution data.

Keywords: Income distribution; Pareto power law; Gompertz curve; Brazil’s income data; Fractals (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (12)

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Related works:
Working Paper: The Gompertz-Pareto Income Distribution (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:390:y:2011:i:4:p:689-698

DOI: 10.1016/j.physa.2010.10.014

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