Weighted empirical likelihood-based inference for quantiles under stratified random sampling

A growing body of literature is emerging on empirical likelihood methods for complex surveys. These works largely focus on the population mean. We propose a weighted empirical likelihood approach as a method of inference for quantiles under stratified random sampling, which is one of the most popular complex survey designs. A simulation study substantiates our proposed methodology.

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Year of publication:	2013-09-19
Authors:	Mehdi, Tahsin
Published in:	Economics Bulletin. - AccessEcon, ISSN 1545-2921. - Vol. 33.2013, 3, p. 2437-2442
Publisher:	AccessEcon
Subject:	empirical likelihood \| stratified sampling \| quantiles

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Extent:	application/pdf
Type of publication:	Article
Classification:	C1 - Econometric and Statistical Methods: General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010835741