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Colombi-type Pareto models for income

机译:哥伦坡式帕累托收入模型

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摘要

The famous Italian economist Colombi (1990) introduced the Pareto log-normal distribution as a model for income. This novel distribution is obtained by taking the product of two independent random variables, one Pareto distributed and the other log-normal distributed, i.e. by compounding the Pareto and log-normal distributions In this paper, we derive a comprehensive collection of income distributions that extend Colombi's work. We also derive several properties of the income distributions, including the Lorenz curve and the Gini coefficient We expect that this work could serve as a useful reference and lead to improved income modeling.
机译:意大利著名经济学家Colombi(1990)引入了帕累托对数正态分布作为收入模型。这种新颖的分布是通过取两个独立的随机变量的乘积获得的,一个是帕累托分布,另一个是对数正态分布,即通过复合帕累托和对数正态分布在本文中,我们推导出了一个全面的收入分布集合,扩展了Colombi的工作。我们还推导出收入分配的几个属性,包括洛伦兹曲线和基尼系数,我们希望这项工作可以作为一个有用的参考,并导致收入建模的改进。

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