Weighted empirical likelihood-based inference for quantiles under stratified random sampling
Tahsin Mehdi
Economics Bulletin, 2013, vol. 33, issue 3, 2437-2442
Abstract:
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.
Keywords: empirical likelihood; stratified sampling; quantiles (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Date: 2013-09-19
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I3-P228.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ebl:ecbull:eb-13-00514
Access Statistics for this article
More articles in Economics Bulletin from AccessEcon
Bibliographic data for series maintained by John P. Conley ().