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

B-Tier
Journal: Health Economics
Year: 2005
Volume: 14
Issue: 4
Pages: 429-432

Authors (1)

Score contribution per author:

2.011 = (α=2.01 / 1 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:wly:hlthec:v:14:y:2005:i:4:p:429-432
Journal Field
Health
Author Count
1
Added to Database
2026-01-29