A generalized statistical model for the size distribution of wealth

被引:20
作者
Clementi, F. [1 ]
Gallegati, M. [2 ]
Kaniadakis, G. [3 ]
机构
[1] Univ Macerata, Dipartimento Sci Polit Comunicaz & Relaz Int, I-62100 Macerata, Italy
[2] Univ Politecn Marche, Dipartimento Sci Econ & Sociali, I-60121 Ancona, Italy
[3] Politecn Torino, Dipartimento Sci Applicata & Tecnol, I-10129 Turin, Italy
关键词
rigorous results in statistical mechanics; applications to game theory and mathematical economics; scaling in socio-economic systems; PERSONAL INCOME-DISTRIBUTION; POWER-LAW; FORBES-400; FRAMEWORK;
D O I
10.1088/1742-5468/2012/12/P12006
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In a recent paper in this journal (Clementi et al 2009 J. Stat. Mech. P02037), we proposed a new, physically motivated, distribution function for modeling individual incomes, having its roots in the framework of the kappa-generalized statistical mechanics. The performance of the kappa-generalized distribution was checked against real data on personal income for the United States in 2003. In this paper we extend our previous model so as to be able to account for the distribution of wealth. Probabilistic functions and inequality measures of this generalized model for wealth distribution are obtained in closed form. In order to check the validity of the proposed model, we analyze the US household wealth distributions from 1984 to 2009 and conclude an excellent agreement with the data that is superior to any other model already known in the literature.
引用
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页数:25
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