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arXiv physics/0504137physics.soc-phcond-mat.stat-mech
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财富分布的随机模型

A stochastic model of wealth distribution

Indrani Bose, Subhasis Banerjee

摘要:

我们提出了一个经济主体社会中财富演化的随机模型。在该模型中,智能体可以处于两种状态:非活动和活动。状态之间的转换以随机的时间间隔发生。在活跃状态下,财富增长的速度大于不活跃状态下的速度。在这两个州,财富以与当前财富成比例的速度减少。描述财富分布在稳态的概率密度函数被发现有一个beta分布的形式。穷人、中产阶级和富人阶层的财富分配是分别得到的。在经济学文献中,贝塔分布及其推广,即广义贝塔分布函数被提出来描述不同经济社会的收入分配。我们的随机模型为β型分布的出现提供了一个简单的基础。

英文摘要:

We propose a stochastic model of evolution of wealth in a society of economic agents. In the model, an agent can be in two states: inactive and active. Transitions between the states occur at random time intervals. In the active state, the rate at which wealth increases is greater than that in the inactive state. In both the states, wealth diminishes at a rate proportional to the current wealth. The probability density function describing the wealth distribution in the steady state is found to have the form of a beta distribution. Wealth distributions for the poor, middle and the rich classes are obtained separately. In economic literature, beta distribution and its generalisations, namely, the generalised beta distribution functions have been proposed to describe the income distributions of different economic societies. Our stochastic model provides a simple basis for the appearance of beta-type distributions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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