The Gini coefficient is a fundamental statistical measure of dispersion used widely across multiple fields. The interest in the study of the properties of the Gini coefficient is highlighted by the fact that every year the World Bank ranks the level of income inequality between countries using it....
The Gini coefficient is the most widely used measure of income inequality. Yet, estimates on its standard error are rarely published because the cost of computing it is prohibitively expensive. We present a method to compute the jackknife variance estimator of the Gini coefficient which is very ...
In literature, the Gini coefficient is widely used to denote income inequality; however, it is oversensitive to changes in the middle of income distribution and less sensitive to changes at the extremes. Hence, the Gini coefficient is not an ideal tool to analyse current inequality patterns chara...
“Income” and “wealth” are not synonymous. For instance, it is possible to have quite a bit of wealth but little income, or, conversely, a high income with relatively little amassed wealth. As a measure of economic inequality, the Gini coefficient is typically used to measure income inequ...
Since both variables simultaneously affect IGM and FEI, we introduce city GDP and the Gini coefficient to control for economic development and income inequality, respectively. The Gini coefficient is calculated using the following formula: $$\begin{array}{*{20}{c}} {Gini_c = 1 - \mathop {\...
The paper proposes the Gini index as a measure of demand imbalances in public transport. We run a series of numerical simulations with randomised demand patterns, and derive the socially optimal fare, frequency and vehicle size variables in each case. We show that the Gini coefficient is a ...
For energy resources within the United States, we find that by household, the Gini coefficient is 0.346, while using the 51 data points represented by the states and Washington D.C., the Gini coefficient is 0.158. When we consider the countries of the world as a population of 210, the ...
Decomposition of the Gini coefficient using Stata Alejandro López-Feldman Universidad de Guanajuato (Moving to CIDE in June) Motivation •The Gini coefficient is widely used to measure inequality in the distribution of income, wealth, expenditures, etc. ...
The Gini coefficient is sometimes used as an alternative to the AUC. The Gini coefficient is a linear transformation of the AUC standardised so that chance classification accuracy has a score of 0. As we illustrate below, the AUC is a particularly widely used measure of classifier performance. ...
The Gini coefficient is given the disparities between the number of degrees of boundary reflect residents can be more objective and intuitively reflect the gap between the residents of and monitoring, forecasting, early warning and to prevent the polarization between the rich and the poor among the...