Confidence Intervals of Gini Coefficient Under Unequal Probability Sampling
By: Yves G. Berger and İklim Gedik Balay
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.
DOI: https://doi.org/10.2478/jos-2020-0013 | Journal eISSN: 2001-7367
Language: English
Page range: 237 - 249
Submitted on: Oct 1, 2018
Accepted on: Dec 1, 2019
Published online: Jun 15, 2020
Published in print: Jun 1, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Related subjects:
© 2020 Yves G. Berger, İklim Gedik Balay, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.