Confidence Intervals of Gini Coefficient Under Unequal Probability Sampling

Berger Yves G. () and Balay İklim Gedik ()
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Berger Yves G.: University of Southampton, Southampton, SO17 1BJ, UK.
Balay İklim Gedik: Ankara Yıldırım Beyazıt University, Esenboga Külliyesi Faculty of Business, Esenboğa, Ankara, 06760, Turkey.

Journal of Official Statistics, 2020, vol. 36, issue 2, 237-249

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.

Keywords: Bootstrap; empirical likelihood; inclusion probability; survey weight; sampling design (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:36:y:2020:i:2:p:237-249:n:2

DOI: 10.2478/jos-2020-0013

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