Selection using Gini Measure of Income Inequality
نویسنده
چکیده
A variety of measures are used to compare income inequalities, many of which have been derived from Lorenz curve. However, classical Gini coefficient and its variations are probably the most commonly used measures of income inequality. They are considered as the best measures by many scientists, but it is also recognized that the choice of age-grouping affects the Gini measures (Formby, et al. 1989). Bhattacharya and Mahalanobis (1967) recognized that because income distributions overlap extensively, the effect of age group on inequality is overestimated. Many procedures are available for ordering and ranking income distributions where the ordering is not linear. However, the researchers often are not interested in ordering the populations but selecting the best (or worst) of available populations indicating a lower (or higher) level of disparities in incomes within the population. This paper will discuss the estimation of overlap of income distributions and selection in terms of Gini Measure of income inequality.
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