P Zizler - Applications of mathematics, 2014 - Springer
The expected value of the share density of the income distribution can be expressed in terms of the Gini index. The variance of the share density of the income distribution is …
Scientists have analysed different methods for numerical estimation of Gini coefficients. Using Lorenz curves, various numerical integration attempts have been made to identify …
SS Lee - GSE Graduate Student Research, 2018 - researchgate.net
The Gini coefficient, an indicator that is often used to measure the inequality in the distribution of income within countries, is meaningless when used on standardized test …
Y Qin, JNK Rao, C Wu - Economic Modelling, 2010 - Elsevier
Gini coefficient is among the most popular and widely used measures of income inequality in economic studies, with various extensions and applications in finance and other related …
N Nakhaei Rad… - Journal of Applied …, 2016 - Taylor & Francis
ABSTRACT Following Sir Anthony and Atkinson who started thinking about the insensitivity of the Gini index to income shares of the lower and the upper income groups, a …
YG Berger, İG Balay - Journal of official statistics, 2020 - journals.sagepub.com
We propose an estimator for the Gini coefficient, based on a ratio of means. We show how bootstrap and empirical likelihood can be combined to construct confidence intervals. Our …
The bounds on the Gini coefficient obtained by Gastwirth for the case of grouped data are considered. While the population bounds will always include the value of the population Gini …
A Bari, A Rassoul, HO Rouis - South African Statistical Journal, 2021 - journals.co.za
In the present paper, we define and study one of the most popular indices which measures the inequality of capital incomes, known as the Gini index. We construct a semiparametric …
The Gini coefficient has been widely used as a key indicator to measure income inequality. However, differences in the measurement methods and information in the sample are the …