Novel measures and estimators of income inequality
By: Roberto Vila, Helton Saulo
Potential Business Impact:
Measures income gaps simply like Gini
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.
Similar Papers
Bounds on inequality with incomplete data
Econometrics
Measures wealth gaps even with messy data.
Differentially Private Computation of the Gini Index for Income Inequality
Methodology
Keeps income fairness numbers private, but still useful.
Alternative statistical inference for the first normalized incomplete moment
Methodology
Finds unfairness in money and society better.