Re-estimating national wealth inequality with incorporating the rich lists in China

Chuliang Luo , Guoqiang Chen
{"title":"Re-estimating national wealth inequality with incorporating the rich lists in China","authors":"Chuliang Luo ,&nbsp;Guoqiang Chen","doi":"10.1016/j.ceqi.2021.11.001","DOIUrl":null,"url":null,"abstract":"<div><p>Using the two annual rich lists of Forbes and Hurun, this study estimated the parameters of Pareto distribution to describe the features of the top tail of the wealth distribution. The wealth inequality for the whole population was re-estimated by the combination of estimated Pareto distribution and household surveys, CHIP2013, CFPS2012 and CFPS2016. The robustness of estimated Pareto coefficients and the possibility of the rich missing from the lists were also discussed in detail. The wealth inequality for the whole population was estimated at different assumptions on the combination of the top tail of wealth distribution and the household survey. The wealth Gini in the CHIP and CFPS data were as high as 0.619 and 0.736. The estimated wealth Gini minorly increased by the combination with the top tail of wealth distribution by the relative criterion, while exceeded 0.8 by the absolute criterion.</p></div>","PeriodicalId":100238,"journal":{"name":"China Economic Quarterly International","volume":"1 4","pages":"Pages 295-307"},"PeriodicalIF":1.9000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666933121000472/pdfft?md5=6ad4e119921bfa87a108092b7965025e&pid=1-s2.0-S2666933121000472-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Economic Quarterly International","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666933121000472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

Using the two annual rich lists of Forbes and Hurun, this study estimated the parameters of Pareto distribution to describe the features of the top tail of the wealth distribution. The wealth inequality for the whole population was re-estimated by the combination of estimated Pareto distribution and household surveys, CHIP2013, CFPS2012 and CFPS2016. The robustness of estimated Pareto coefficients and the possibility of the rich missing from the lists were also discussed in detail. The wealth inequality for the whole population was estimated at different assumptions on the combination of the top tail of wealth distribution and the household survey. The wealth Gini in the CHIP and CFPS data were as high as 0.619 and 0.736. The estimated wealth Gini minorly increased by the combination with the top tail of wealth distribution by the relative criterion, while exceeded 0.8 by the absolute criterion.

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
结合中国富豪榜重新估计国家财富不平等
本研究利用福布斯和胡润两份年度富豪榜,估计了帕累托分布的参数,以描述财富分布的顶尾特征。通过结合估计的帕累托分布和家庭调查,CHIP2013, CFPS2012和CFPS2016,重新估计了整个人口的财富不平等。本文还详细讨论了估计的帕累托系数的鲁棒性和富人从名单中消失的可能性。结合财富分配的顶尾和家庭调查,在不同的假设下估计了整个人口的财富不平等。CHIP和CFPS数据中的财富基尼系数分别高达0.619和0.736。从相对标准看,与财富分配顶尾结合后,估计的财富基尼系数略有增加,而从绝对标准看,估计的财富基尼系数超过0.8。
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
CiteScore
2.20
自引率
0.00%
发文量
0
期刊最新文献
Trade unions and the wage gap between rural migrant and local urban workers in China The impact of real estate market risks on the issuance costs of urban investment bonds: Evidence from China Promoting corporate independent innovation through judicial protection of intellectual property rights The return of protectionism: Prospects for Sino-US trade relations in the wake of the trade war A friend indeed to friends in need? China's trade regime and Covid-19 vaccine diplomacy
×
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