The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality

Adam Wagstaff

Health Economics, 2005, vol. 14, issue 4, 429-432

Abstract: When the health sector variable whose inequality is being investigated is binary, the minimum and maximum possible values of the concentration index are equal to µ−1 and 1−µ, respectively, where µ is the mean of the variable in question. Thus as the mean increases, the range of the possible values of the concentration index shrinks, tending to zero as the mean tends to one and the concentration index tends to zero. Examples are presented on levels of and inequalities in immunization across 41 developing countries, and on changes in coverage and inequalities in selected countries. Copyright © 2004 John Wiley & Sons, Ltd.

Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (177)

Downloads: (external link)
https://doi.org/10.1002/hec.953

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:wly:hlthec:v:14:y:2005:i:4:p:429-432

Access Statistics for this article

Health Economics is currently edited by Alan Maynard, John Hutton and Andrew Jones

More articles in Health Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().