Estimation of inequality indices of the cumulative distribution function

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.

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Year of publication:	2015
Authors:	Abul Naga, Ramses H. ; Stapenhurst, Christopher
Published in:	Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 130.2015, C, p. 109-112
Publisher:	Elsevier
Subject:	Ordered response data \| Self-assessed health \| Multinomial sampling \| Large sample distributions \| Standard errors

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Type of publication:	Article
Classification:	D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement ; C43 - Index Numbers and Aggregation ; I1 - Health
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011263398