Variance estimators of the Gini coefficient simple random sampling (Q1085560)

Computations of income inequality measures are usually based on data from sample surveys. The most well-known measure is the Gini coefficient, which is a ratio statistic. We study both the exact sampling distribution obtained by simple random sampling without replacement from two small populations and approximated sampling distributions based on simulations. Four variance estimators are compared.