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摘要翻译：
本文提出了K-广义分布作为描述人口收入分布和分散的模型。给出了不等式测量的形状、矩和标准工具--如洛伦兹曲线和基尼系数--的公式。文中还讨论了参数估计的一种方法。该模型与澳大利亚和美国的个人收入分配数据非常吻合。
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英文标题：
《The k-generalized distribution: A new descriptive model for the size
distribution of incomes》
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作者：
F. Clementi, T. Di Matteo, M. Gallegati, G. Kaniadakis
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最新提交年份：
2008
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分类信息：
一级分类：Quantitative Finance 数量金融学
二级分类：General Finance 一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类：Physics 物理学
二级分类：Physics and Society 物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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英文摘要：
This paper proposes the k-generalized distribution as a model for describing the distribution and dispersion of income within a population. Formulas for the shape, moments and standard tools for inequality measurement - such as the Lorenz curve and the Gini coefficient - are given. A method for parameter estimation is also discussed. The model is shown to fit extremely well the data on personal income distribution in Australia and the United States.
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PDF链接：
https://arxiv.org/pdf/0710.3645
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