The University of Southampton
University of Southampton Institutional Repository

Confidence intervals of Gini coefficient under unequal probability sampling

Confidence intervals of Gini coefficient under unequal probability sampling
Confidence intervals of Gini coefficient under unequal probability sampling
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.
Bootstrap, empirical likelihood, inclusion probability, sampling design, survey weight
0282-423X
237-249
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Gedik Balay, İklim
c542cb3b-13c6-40c7-9294-de4ea56b97c8
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Gedik Balay, İklim
c542cb3b-13c6-40c7-9294-de4ea56b97c8

Berger, Yves and Gedik Balay, İklim (2020) Confidence intervals of Gini coefficient under unequal probability sampling. Journal of Official Statistics, 36 (2), 237-249. (doi:10.2478/jos-2020-0013).

Record type: Article

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.

Text
Berger_Balay_2020 - Author's Original
Download (297kB)
Text
Paper_JOS - Accepted Manuscript
Download (293kB)

More information

Accepted/In Press date: 23 December 2019
e-pub ahead of print date: 15 June 2020
Published date: June 2020
Additional Information: Publisher Copyright: © 2020 Yves G. Berger et al., published by Sciendo 2020.
Keywords: Bootstrap, empirical likelihood, inclusion probability, sampling design, survey weight

Identifiers

Local EPrints ID: 437347
URI: http://eprints.soton.ac.uk/id/eprint/437347
ISSN: 0282-423X
PURE UUID: d407e3ad-1d75-4bef-a4fd-2dc3cb93cf89
ORCID for Yves Berger: ORCID iD orcid.org/0000-0002-9128-5384

Catalogue record

Date deposited: 24 Jan 2020 17:31
Last modified: 17 Mar 2024 05:12

Export record

Altmetrics

Contributors

Author: Yves Berger ORCID iD
Author: İklim Gedik Balay

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×