In this paper, we consider two well-known methods for analysis of the Gini index, which are
U-statistics and linearization for some income distributions. In addition, we evaluate two …

Resampling approaches were the first techniques employed to compute a variance for the
Gini coefficient; however, many authors have shown that an analysis of the Gini coefficient …

The Gini index represents a special case of the generalized Gini indices, which allow to
choose a level of inequality aversion and to stress the different proportions of the income …

Several generalizations of the classical Gini index, placing smaller or greater weights on
various portions of income distribution, have been proposed by a number of authors. For …

Summary Since Corrado Gini suggested the index that bears his name as a way of
measuring inequality, the computation of variance of the Gini index has been subject to …

The Gini coefficient has proved valuable as a measure of income inequality. In cross-
sectional studies of the Gini coefficient, information about the accuracy of its estimate is …

In this paper, we address the problem of estimating the Gini index when data are assumed
to be collected through the randomized response method proposed by Greenberg et al.(J …

This paper promotes several new approaches for computing Gini index based on discrete
distribution. The discrete form of covariance that computes Gini index is derived from the …

The article presents information on a convenient method of computing the Gini Index and its
standard error. The Gini index is an important measure of income inequality with widely …

The basic approach to estimating the Gini and extended Gini indices is to approximate the
Lorenz curve by a number of linear segments, and then estimate the Gini coefficients as the …