A statistical physics analysis of expenditure in the UK

E. Oltean, F. Kusmartsev
{"title":"A statistical physics analysis of expenditure in the UK","authors":"E. Oltean, F. Kusmartsev","doi":"10.11648/J.AJMP.20140303.13","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":250928,"journal":{"name":"arXiv: General Finance","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: General Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.AJMP.20140303.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
英国支出的统计物理分析
迄今为止,大多数研究宏观经济变量的论文都考虑到了收入和财富。与前面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,我们试图拟合有关支出分布的数据,这些数据是根据收入按人口的十分位数划分的(考虑到总支出和可支配支出)。使用决定系数作为理论工具来评估这些分配的成功程度,我们发现,无论数据集或用于计算收入十分位数的支出值的方法如何,这两种分配在描述支出分配方面都非常稳健。这是我们所知的第一篇处理支出的论文,特别是使用支出下限等方法来描述支出。这也是相关的,因为它允许宏观经济系统的方法使用更多的变量来表征其活动,可以帮助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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effect of Long-Term Debt on the Financial Growth of Non-Financial Firms Listed at the Nairobi Securities Exchange Obamacare and a Fix for the IRS Iteration Optimizing the Reliability of a Bank with Logistic Regression and Particle Swarm Optimization Trading in Complex Networks A Policy Compass for Ecological Economics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1