The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality
研究了当健康变量为二值（如是否接种疫苗）时，集中指数的取值范围随均值变化而缩小，并用41个发展中国家的免疫数据展示了这一现象。
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.