2025/08/05 by Vila, Roberto, Saulo, Helton · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
paper · doi:10.48550/arxiv.2508.02965
In this paper, we propose new income inequality measures that approximate the Gini coefficient and analyze the asymptotic properties of their estimators, including strong consistency and limiting distribution. Generalizations to the measures and estimators are developed. Simulation studies assess finite-sample performance, and an empirical example demonstrates practical relevance.