title: The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality.
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.
authors.affiliation: Development Research Group, The World Bank, Washington, DC 20433, USA. awagstaff@worldbank.org
authors.forename: Adam
authors.initials: A
authors.lastname: Wagstaff
mesh_terms: D003627:Data Interpretation, Statistical; D003906:Developing Countries; D006297:Health Services Accessibility / Q000191:economics / Q000706:statistics & numerical data; D006306:Health Surveys; D006801:Humans; D017589:Immunization Programs / Q000191:economics* / Q000706:statistics & numerical data*; D011203:Poverty / Q000191:economics; D012923:Social Class; D012959:Socioeconomic Factors