The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality
AbstractWhen 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 Â© 2004 John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Health Economics.
Volume (Year): 14 (2005)
Issue (Month): 4 ()
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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749
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- Wagstaff, Adam & Paci, Pierella & van Doorslaer, Eddy, 1991. "On the measurement of inequalities in health," Social Science & Medicine, Elsevier, vol. 33(5), pages 545-557, January.
- Gilbert,Christopher L. & Vines,David (ed.), 2000. "The World Bank," Cambridge Books, Cambridge University Press, number 9780521790956, December.
- Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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