Confidence Interval Estimation for Inequality Indices of the Gini Family

Paola Palmitesta, Corrado Provasi and Cosimo Spera

Computational Economics, 2000, vol. 16, issue 1/2, 137-147

Abstract: In this paper we present some nonparametric bootstrap methods to construct distribution-free confidence intervals for inequality indices belonging to the Gini family. These methods have a coverage accuracy better than that obtained with the asymptotic distribution of their natural estimators, typically the standard normal. The coverage performances of these methods are evaluated for the index R by Gini with a Monte Carlo experiment on samples simulated from the Dagum income model (Type I), which is usually used to describe the income distribution.

Keywords: Gini index family; income distribution; nonparametric bootstrap; Monte Carlo experiment (search for similar items in EconPapers)
Date: 2000
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