The Gini coefficient基尼系数is a measure of statistical dispersion developed by the Italian statistician Corrado Gini and published in his 1912 paper "Variability and Mutability". It is commonly used as a measure of inequality of ___. It has, however, also found application in the study of ine...
The Gini coefficient is the most popular inequality index. It is based on the sum of pairwise absolute income differences, which can be viewed as taking a separate sum for each individual of the differences between his/her income and others', and then adding up those separate sums. The ...
“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...
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 ...
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 ...
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...
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. ...
This phenomenon is mainly due to the two forms of the Gini coefficient Gc and G±, which behave rather differently with the variation of ±, , and the income inequalities among the poor people. This calls for a more intensive study of the behavior of the Gini coefficient under various ...
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 ...