A Convenient Method of Computing the Gini Index and Its Standard Error

By Tomson Ogwang. 2000

114 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Gender Studies, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/663c6fd4f9d1e15c82da2460996c9c5adacc9c6a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Yves Tillé
2. Matti Langel

In Gender Studies

1. Yves Tillé
2. Matti Langel

In Sociology and Political Science

1. Yves Tillé
2. Matti Langel

Citations in the corpus

• More Places than Crimes: Implications for Evaluating the Law of Crime Concentration at Place (2017, unknown): “…coefficient is Var Gð Þ ¼ n 1 n Xn k¼1 G n; kð Þ G nð Þð Þ2 ð6Þ where G is the Gini coefficient, n is the total number of places, G n; kð Þ is the Gini coefficient calculated on the (n-1) places after removing the kth place, and G nð Þ is mean of all G n; kð Þ, k ¼ 1; 2; . . .; n (Ogwang 2000).”
• Variance estimation of the Gini index: revisiting a result several times published (2013, methodology): “Hereafter, we show that the regression approach is conceptually wrong and that, when used correctly as suggested by Ogwang (2000), the jackknife provides reliable estimates in addition to being computationally straightforward.”