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An agent-based model of the observed distribution of wealth in the United States

机译:基于代理的美国观察到的财富分配模型

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Pareto cautiously asserted that the wealth and income distributions which bear his name are universal, basing his argument on observations of this distribution in many different types of economies. In this paper, we present an agent based model (and a scalable approximation of it) in a closely related spirit. The central feature of this model is that wealth enables an individual to secure more wealth. Specifically, the important and novel feature of this model is its ability to simultaneously produce both the Pareto distribution observed in empirical data for the top 10% of the population and the exponential distribution observed for the lower 90%. We show that the model produces these distributions of wealth when initialized with an equitable distribution. Then, using historical data, we initialize the model with US wealth shares in 1988 and show that the model tracks wealth share changes from 1988 to 2012. Simulations to 2088 project that the top 0.01% of the population will possess more than 70% of the total wealth in the economy.
机译:帕累托谨慎地断言,以他的名字命名的财富和收入分配具有普遍性,他的论据基于对许多不同类型的经济体中这种分配的观察。在本文中,我们以密切相关的精神提出了一种基于代理的模型(及其可扩展近似)。这种模式的主要特征是财富使个人能够获得更多的财富。具体而言,此模型的重要和新颖的功能是它能够同时生成在经验数据中观察到的前10%人口的帕累托分布和观察到下90%的人口指数分布的能力。我们表明,当用公平分配初始化时,模型会产生这些财富分配。然后,使用历史数据,我们使用1988年的美国财富份额来初始化该模型,并显示该模型跟踪了1988年至2012年的财富份额变化。对2088年的模拟表明,最高的0.01%的人口将拥有超过70%的人口。经济中的总财富。

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