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再谈基尼系数的统计测量 被引量:9

Rediscussion on Statistical Measure on Gini Coefficient
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摘要 基尼系数是测量社会收入分配不均等程度的指数,是判断居民之间贫富差距的一个重要分析指标。计算基尼系数的方法有很多种,在一般情况下,由于洛伦斯曲线不能用初等函数表达,所以各种计算公式都是近似的,只是其精度和表达的简洁程度有所不同,因此寻求既精确又简捷的计算方法仍然是一项有意义的工作。文章从基尼系数的定义出发,在数值积分理论的基础上,对目前常用的基尼系数计算公式进行了改进,并给出了简单的估计方法。 Gini coefficient is an index to measure the inequality degree of social income distribution and an important analysis index to judge the gap between the rich and the poor among residents. There are many ways to calculate the Gini coefficient. In general, since the Lorence curve cannot be expressed in terms of elementary functions, the various computational formulas are approximate, but only its precision and the succinct degree of expression are different. Therefore, it is still meaningful to seek an accurate and simple calculation method. This paper is based on the definition of Gini coefficient and the numerical integration theory to improve the commonly used formulas for calculating the Gini coefficient, and finally gives a simple estimation method.
作者 郝乐 杨芳 张启望 Hao Le;Yang Fang;Zhang Qiwang(School of Economics,Shenyang University,Shenyang 110041,China;Department of Basic Courses,Shenyang Urban Construction University,Shenyang 110167,China;Business School,Liaoning University,Shenyang 110036,China)
出处 《统计与决策》 CSSCI 北大核心 2021年第7期27-32,共6页 Statistics & Decision
关键词 基尼系数 洛伦斯曲线 数值积分 近似计算 Gini coefficient Lorence curve numerical integration approximate calculation
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