收入分配动态的双因素模型

Makoto Nirei, W. Souma
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引用次数: 139

摘要

本文分析了实证收入分布,并提出了一个简单的随机模型来解释平稳分布及其偏差。利用美国和日本40年来的个人纳税申报数据,我们首先通过指数衰减到大约第90个百分位和前1%的功率衰减来总结收入分配的形状。然后,我们提出了劳动和资产收入的最小随机过程来再现经验特征。特别地,帕累托指数是解析导出的,并与经验统计相匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Two Factor Model of Income Distribution Dynamics
This paper analyzes empirical income distributions and proposes a simple stochastic model to explain the stationary distribution and deviations from it. Using the individual tax returns data in the U.S. and Japan for 40 years, we first summarize the shape of the income distribution by an exponential decay up to about the 90th percentile and a power decay for the top 1 percent. We then propose a minimal stochastic process of labor and asset income to reproduce the empirical characteristics. In particular, the Pareto exponent is derived analytically and matched with empirical statistics.
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