摘要
利用分组数据对均等指数的计算过程与理论前提不相符,导致了不同的分组情况会得出不同的均等指数,这降低了其度量收入差距的可信度。基于对均等指数的这一疑问以及均等指数的构建与均方差只相差与样本容量相关的常数倍这一现象,提出了衡量数据离散程度的方差可以衡量收入分配内部差距的原理,结合计量经济学中线性回归的判定系数和回归斜率,可以很好地衡量收入差距,并用实证分析证明了此方法的可行性。
The paper discovered that the calculating of equalization index based on group data is not consistent with its theory premise. Eeeause different grouping will lead to different result, the credibility of equalization index in measuring disparity of income distribution has been questioned. Based the fact that equalization index is a multiple of mean squared deviation and sample numbers. The paper advanced a new way of using variance to measure income disparity. Combined with adjusted R-square and regression slope in econometrics, variance can well explain the disparity of income. The paper has been proved the feasibility of the new way with empirical sampies.
出处
《财经理论与实践》
CSSCI
北大核心
2011年第3期94-98,共5页
The Theory and Practice of Finance and Economics
基金
教育部新世纪优秀人才支持计划项目(教技函[2007]70号)
关键词
收入差距
计量经济学
方差
实证
Disparity of Income
Econometrics
Variance
Empirical Study
