Estimation of inequality indices of the cumulative distribution function
Ramses Abul Naga and
Christoper Stapenhurst
Economics Letters, 2015, vol. 130, issue C, 109-112
Abstract:
Inequality indices for self-assessed health and life satisfaction are typically constructed as functions of the cumulative distribution function. We present a unified methodology for the estimation of the resulting inequality indices. We also obtain explicit standard error formulas in the context of two popular families of inequality indices that have emerged from this literature.
Keywords: Ordered response data; Self-assessed health; Multinomial sampling; Large sample distributions; Standard errors (search for similar items in EconPapers)
JEL-codes: C43 D63 I1 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016517651500097X
Full text for ScienceDirect subscribers only
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:eee:ecolet:v:130:y:2015:i:c:p:109-112
DOI: 10.1016/j.econlet.2015.03.004
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().