Confidence Interval Estimation for Inequality Indices of the Gini Family

被引：5
|
作者：
Paola Palmitesta
Corrado Provasi
Cosimo Spera
机构：
[1] University of Siena,Department of Quantitative Methods
[2] University of Padova,Department of Statistical Sciences
来源：
Computational Economics | 2000年 / 16卷 / 1-2期
关键词：
Gini index family; income distribution; nonparametric bootstrap; Monte Carlo experiment;
D O I：
10.1023/A:1008761721593
中图分类号：
学科分类号：
摘要：
In this paper we present some nonparametric bootstrap methods to constructdistribution-free confidence intervals for inequality indices belonging to theGini family. These methods have a coverage accuracy better than that obtainedwith the asymptotic distribution of their natural estimators, typically thestandard normal. The coverage performances of these methods are evaluated forthe index R by Gini with a Monte Carlo experiment on samples simulated fromthe Dagum income model (Type I), which is usually used to describe the incomedistribution.
引用
收藏
页码：137 / 147
页数：10
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