Multidimensional Economic Dispersion Index and Application
多维经济离散度指数及其应用AI 解读 ↓
本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。
DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。
引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。
关注作者按书目中的完整姓名匹配,同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列,再参考通用方法与发表日期。
AI 根据所提供的论文材料归类:摘要以多种社会资源的分布和洛伦兹超曲面衡量不平等,并将指标与基尼指数联系,直接涉及经济分布的刻画。
反馈分类问题多维经济离散度指数及其应用AI 解读 ↓
正在核对关联版本…
正在核对对应版本的资源…
The Gini index is widely used in economics as a measure of inequality with respect to income or wealth. However, it is not applicable when we consider evaluating the inequality level using more than one social resources. To comprehensively evaluate the social inequality level, we propose a multidimensional economic dispersion index (MEDI) based on the Lorenz hyper-surface determined by the distributions of multiple social resources. The MEDI is a natural extension of the Gini index and is equivalent to the Gini index in the presence of only one resource. We propose an estimator for the MEDI with good statistical properties and develop an algorithm to calculate the estimate. We further apply the MEDI for an empirical analysis to evaluate the social inequality level of Chinese provincial capitals. The results reveal some interesting phenomena of Chinese social inequalities and also demonstrate how the MEDI captures more information in complex economic situations than the classical Gini index.