Inequality measures are powerful tools of applied welfare analysis. However, to use the tools effectively one has to take into account the characteristics of the data with which one usually has to work. These raise a number of common statistical problems which are addressed here for both micro-data and grouped data. The theoretical properties of inequality measures can often be used to simplify these problems and derive implementable algorithims.
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