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

Wagstaff, Adam·2005·Health Economics

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 micro-1 and 1-micro, respectively, where micro 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.

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Metadata

Authors
Wagstaff, A.
Venue
Health Economics
Publisher
Wiley
Published
2005
Volume
14
Issue
4
Pages
429-432
ISSN
  • 1057-9230 (ISSN-L)
  • 1099-1050
OpenAlex
W2057835492
Cited by
708
References
3
FWCI
17.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality. https://app.cochat.ai/papers/10.1002/hec.953
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Wagstaff, A. (2005). The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality. Health Economics. https://doi.org/10.1002/hec.953

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.