Confidence Intervals of Gini Coefficient Under Unequal Probability Sampling

被引：0
|
作者：
Berger, Yves G. [1 ]
Balay, Iklim Gedik [2 ]
机构：
[1] Univ Southampton, Southampton SO17 1BJ, Hants, England
[2] Ankara Yildirim Beyazit Univ, Esenboga Kulliyesi Fac Business, TR-06760 Ankara, Turkey
来源：
JOURNAL OF OFFICIAL STATISTICS | 2020年 / 36卷 / 02期
关键词：
Bootstrap; empirical likelihood; inclusion probability; survey weight; sampling design; STANDARD ERROR; STATISTICAL-INFERENCE; VARIANCE ESTIMATORS; INDEX; JACKKNIFE; INEQUALITY;
D O I：
暂无
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
We propose an estimator for the Gini coefficient, based on a ratio of means. We show how bootstrap and empirical likelihood can be combined to construct confidence intervals. Our simulation study shows the estimator proposed is usually less biased than customary estimators. The observed coverages of the empirical likelihood confidence interval proposed are also closer to the nominal value.
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页码：237 / 249
页数：13
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