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

  • Adam Wagstaff

    (Development Research Group, The World Bank, Washington, DC, USA)

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.

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File URL: http://hdl.handle.net/10.1002/hec.953
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Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

Volume (Year): 14 (2005)
Issue (Month): 4 ()
Pages: 429-432

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Handle: RePEc:wly:hlthec:v:14:y:2005:i:4:p:429-432
Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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  1. 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.
  2. repec:cup:cbooks:9780521790956 is not listed on IDEAS
  3. 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.
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