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Analysis of Solidarity Effect for Entropy Pareto and Gini Indices on Two-Class Society Using Kinetic Wealth Exchange Model

机译:用动力学交流模型分析熵帕累托帕累托和GINI指数的团结效应

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摘要

It is well known that two different underlying dynamics lead to different patterns of income/wealth distribution such as the Boltzmann–Gibbs form for the lower end and the Pareto-like power-law form for the higher-end. The Boltzmann–Gibbs distribution is naturally derived from maximizing the entropy of random interactions among agents, whereas the Pareto distribution requires a rational approach of economics dependent on the wealth level. More interestingly, the Pareto regime is very dynamic, whereas the Boltzmann–Gibbs regime is stable over time. Also, there are some cases in which the distributions of income/wealth are bimodal or polymodal. In order to incorporate the dynamic aspects of the Pareto regime and the polymodal forms of income/wealth distribution into one stochastic model, we present a modified agent-based model based on classical kinetic wealth exchange models. First, we adopt a simple two-class society consisting of the rich and the poor where the agents in the same class engage in random exchanges while the agents in the different classes perform a wealth-dependent winner-takes-all trading. This modification leads the system to an extreme polarized society with preserving the Pareto exponent. Second, we incorporate a solidarity formation among agents belonging to the lower class in our model, in order to confront a super-rich agent. This modification leads the system to a drastic bimodal distribution of wealth with a varying Pareto exponent over varying the solidarity parameter, that is, the Pareto-regime becomes narrower and the Pareto exponent gets larger as the solidarity parameter increases. We argue that the solidarity formation is the key ingredient in the varying Pareto exponent and the polymodal distribution. Lastly, we take two approaches to evaluate the level of inequality of wealth such as Gini coefficients and the entropy measure. According to the numerical results, the increasing solidarity parameter leads to a decreasing Gini coefficient not linearly but nonlinearly, whereas the entropy measure is robust over varying solidarity parameters, implying that there is a trade-off between the intermediate party and the high end.
机译:众所周知,两种不同的底层动态导致不同的收入/财富分布模式,例如玻璃杆菌的下端和普通的高端电力法形式的玻璃杆菌形式。 Boltzmann-Gibbs分布自然来自最大化药剂之间的随机相互作用的熵,而帕累托分布需要依赖财富水平的经济学理性方法。更有趣的是,帕累托政权非常动态,而Boltzmann-Gibbs政权随着时间的推移是稳定的。此外,还有一些案例,其中收入/财富的分布是双峰或多种多元的。为了将帕累托制度的动态方面和多种多数形式的收入/财富分配纳入一个随机模型,我们介绍了一种基于经典动力学换算模型的改进的基于代理的模型。首先,我们采用了一个简单的两班社,包括富人和穷人,同一班级的代理人从事随机交换,而不同课程的代理商执行财富依赖的赢家 - 所有交易。该修改将系统引导到极端偏振的社会,并保留帕累托指数。其次,我们在我们模型中属于下层阶级的代理人中纳入了团结性形成,以面对一个超级的代理人。该修改使系统引导到具有不同帕累托指数的大量帕累象的急性双峰分布,即改变团结参数,即静态制度变得较窄,随着团结参数的增加,帕累托指数变大。我们认为,团结性形成是不同帕累托指数和多种分布的关键成分。最后,我们采取两种方法来评估财富的不平等水平,如Gini系数和熵措施。根据数值结果,越来越多的团结参数导致GINI系数的降低而不是线性的,而是非线性的,而熵测量是稳健的,而不是变化的团结参数,这意味着中间方和高端之间存在权衡。

著录项

  • 期刊名称 Entropy
  • 作者

    Gyuchang Lim; Seungsik Min;

  • 作者单位
  • 年(卷),期 2020(22),4
  • 年度 2020
  • 页码 386
  • 总页数 14
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

    机译:动态财富交换模型;分层社会;团结;帕累托指数;基尼系数;熵;

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