Abstract 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.

中文翻译：

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不等概率抽样下基尼系数的置信区间

摘要我们提出基于均值比的基尼系数估计器。我们展示了如何将自举和经验似然结合起来以构建置信区间。我们的仿真研究表明，提出的估算器通常比常规估算器有较少的偏差。建议的经验似然置信区间的观察范围也更接近标称值。