英文标题：
《Global Income Inequality and Savings: A Data Science Perspective》
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作者：
Kiran Sharma, Subhradeep Das and Anirban Chakraborti
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最新提交年份：
2018
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英文摘要：
  A society or country with income equally distributed among its people is truly a fiction! The phenomena of socioeconomic inequalities have been plaguing mankind from times immemorial. We are interested in gaining an insight about the co-evolution of the countries in the inequality space, from a data science perspective. For this purpose, we use the time series data for Gini indices of different countries, and construct the equal-time cross-correlation matrix. We then use this to construct a similarity matrix and generate a map with the countries as different points generated through a multi-dimensional scaling technique. We also produce a similar map of different countries using the time series data for Gross Domestic Savings (% of GDP). We also pose a different, yet significant, question: Can higher savings moderate the income inequality? In this paper, we have tried to address this question through another data science technique - linear regression, to seek an empirical linkage between the income inequality and savings, mainly for relatively small or closed economies. This question was inspired from an existing theoretical model proposed by Chakraborti-Chakrabarti (2000), based on the principle of kinetic theory of gases. We tested our model empirically using Gini index and Gross Domestic Savings, and observed that the model holds reasonably true for many economies of the world.
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中文摘要：
一个收入在人民中平均分配的社会或国家真是虚构！社会经济不平等现象自古以来一直困扰着人类。我们有兴趣从数据科学的角度了解各国在不平等空间中的共同演变。为此，我们利用不同国家基尼指数的时间序列数据，构建了等时互相关矩阵。然后，我们使用该方法构建一个相似矩阵，并通过多维缩放技术生成一张地图，其中国家作为不同的点。我们还利用国内储蓄总额（占GDP的%）的时间序列数据绘制了不同国家的类似地图。我们还提出了一个不同但意义重大的问题：高储蓄能否缓和收入不平等？在本文中，我们试图通过另一种数据科学技术——线性回归来解决这个问题，以寻求收入不平等与储蓄之间的经验联系，主要针对相对较小或封闭的经济体。这个问题的灵感来自Chakraborti Chakrabarti（2000）基于气体动力学原理提出的现有理论模型。我们使用基尼指数和国内储蓄总额对我们的模型进行了实证检验，发现该模型对世界上许多经济体都适用。
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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
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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。
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