[PDF][PDF] Optimization of Gini Coefficient Affected by Imperfect Input Data

P David - European Journal of Business Science and …, 2019 - ejobsat.cz
Most indicators used for determining the distributional effects of taxes as well as the
inequality in the income distribution are based on the Gini coefficient and the Lorenz curve …

Gini indices and the moments of the share density function

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 …

[PDF][PDF] Regression analyses of income inequality indices

J Fellman - Theoretical Economics Letters, 2018 - helda.helsinki.fi
Scientists have analysed different methods for numerical estimation of Gini coefficients.
Using Lorenz curves, various numerical integration attempts have been made to identify …

[PDF][PDF] The Gini Coefficient's Magic Does Not Work on Standardized Test Scores

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 …

Empirical likelihood confidence intervals for the Gini measure of income inequality

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 …

Maximum entropy estimation of income share function from generalized Gini index

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 …

Confidence intervals of Gini coefficient under unequal probability sampling

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 …

An analysis of the bounds for the Gini coefficient

JB McDonald, MR Ransom - Journal of Econometrics, 1981 - Elsevier
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 …

Estimating the Gini index for heavy-tailed income distributions

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 …

Revisiting income inequality among households: New evidence from the Chinese Household Income Project

ZX Wang, YQ Jv - China Economic Review, 2023 - Elsevier
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 …