英文标题：
《A statistical physics analysis of expenditure in the UK》
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作者：
Elvis Oltean, Fedor Kusmartsev
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最新提交年份：
2016
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英文摘要：
  Most papers which explored so far macroeconomic variables took into account income and wealth. Equally important as the previous macroeconomic variables is the expenditure or consumption, which shows the amount of goods and services that a person or a household purchased. Using statistical distributions from Physics, such as Fermi-Dirac and polynomial distributions, we try to fit the data regarding the expenditure distribution divided in deciles of population according to their income (gross and disposable expenditure are taken into account). Using coefficient of determination as theoretical tool in order to assess the degree of success for these distributions, we find that both distributions are really robust in describing the expenditure distribution, regardless the data set or the methodology used to calculate the expenditure values for the deciles of income. This is the first paper to our knowledge which tackles expenditure, especially using a method to describe expenditure such as lower limit on expenditure. This is also relevant since it allows the approach of macroeconomic systems using more variables characterizing their activity, can help in the investigation of living standards and inequality, and points to more theoretical explorations which can be very useful for the Economics and business practice.
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中文摘要：
迄今为止，大多数研究宏观经济变量的论文都考虑了收入和财富。与之前的宏观经济变量同样重要的是支出或消费，它显示了一个人或一个家庭购买的商品和服务的数量。利用物理学中的统计分布，如费米-狄拉克分布和多项式分布，我们试图拟合按照收入（总支出和可支配支出被考虑在内）划分为人口十分之一的支出分布数据。使用确定系数作为理论工具来评估这些分布的成功程度，我们发现这两种分布在描述支出分布时都非常稳健，无论数据集或用于计算收入十分之一的支出值的方法如何。这是我们所知的第一篇关于支出的论文，尤其是使用一种方法来描述支出，例如支出下限。这也是相关的，因为它允许宏观经济系统使用更多的变量来描述其活动，有助于调查生活水平和不平等，并指出更多的理论探索，这对经济学和商业实践非常有用。
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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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