英文标题：
《Poverty Index With Time Varying Consumption and Income Distributions》
---
作者：
Amit K Chattopadhyay, T Krishna Kumar and Sushanta K Mallick
---
最新提交年份：
2016
---
英文摘要：
  In a recent work (Chattopadhyay, A. K. et al, Europhys. Lett. {\\bf 91}, 58003, 2010) based on food consumption statistics, we showed how a stochastic agent based model could represent the time variation of the income distribution statistics in a developing economy, thereby defining an alternative \\enquote{poverty index} (PI) that largely agreed with poverty gap index data. This PI used two variables, the probability density function of the income statistics and a consumption deprivation (CD) function, representing the shortfall in the minimum consumption needed for survival. Since the time dependence of the CD function was introduced there through data extrapolation only and not through an endogenous time dependent series, this model left unexplained how the minimum consumption needed for survival varies with time. The present article overcomes these limitations and arrives at a new unified theoretical structure through time varying consumption and income distributions where trade is only allowed when the income exceeds consumption deprivation (CD). Our results reveal that such CD-dynamics reduces the threshold level of consumption of basic necessities, suggesting a possible dietary transition in terms of lower saturation level of food-grain consumption. The new poverty index conforms to recently observed trends more closely than conventional measures of poverty and allows probabilistic prediction of PI for future times.
---
中文摘要：
在最近一项基于食品消费统计的研究（Chattopadhyay，a.K.et al，Europhys.Lett，580032010）中，我们展示了一个基于随机主体的模型如何代表发展中经济体收入分配统计的时间变化，从而定义了一个与贫困差距指数数据基本一致的替代方案{贫困指数}（PI）。该PI使用了两个变量，即收入统计的概率密度函数和消费剥夺（CD）函数，代表生存所需的最低消费缺口。由于CD函数的时间依赖性是通过数据外推引入的，而不是通过内生的时间依赖性序列引入的，因此该模型无法解释生存所需的最小消耗量是如何随时间变化的。本文克服了这些局限性，通过时变消费和收入分配，得出了一个新的统一理论结构，其中只有当收入超过消费剥夺（CD）时才允许进行贸易。我们的研究结果表明，这种镉动态降低了基本必需品的消费门槛水平，表明在较低的粮食消费饱和水平方面，可能存在饮食转变。新的贫困指数比传统的贫困指标更符合最近观察到的趋势，并允许概率预测未来的PI。
---
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
--
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。
--

---
PDF下载：
-->