Income distribution;
Pareto power law;
Gompertz curve;
Brazil's income data;
Fractals;
HIERARCHICAL FRACTAL COSMOLOGY;
POWER LAWS;
SCALE-INVARIANCE;
MODEL;
WEALTH;
ECONOPHYSICS;
STATISTICS;
MARKET;
SPACETIME;
D O I:
10.1016/j.physa.2010.10.014
中图分类号:
O4 [物理学];
学科分类号:
0702 ;
摘要:
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 GPO is consistent and provides a coherent and simple analytical tool to describe personal income distribution data. (C) 2010 Elsevier B.V. All rights reserved.
机构:
Minist Finance, Policy Res Inst, Chiyoda Ku, 3-1-1 Kasumigaseki, Tokyo 1008940, Japan
Hitotsubashi Univ, Inst Innovat Res, 2-1 Naka, Tokyo 1868603, JapanMinist Finance, Policy Res Inst, Chiyoda Ku, 3-1-1 Kasumigaseki, Tokyo 1008940, Japan
Nirei, Makoto
Aoki, Shuhei
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机构:
Shinshu Univ, Dept Econ, 3-1-1 Asahi, Matsumoto, Nagano 3900802, JapanMinist Finance, Policy Res Inst, Chiyoda Ku, 3-1-1 Kasumigaseki, Tokyo 1008940, Japan