Journal article
Bias in Gini coefficient estimation for gamma mixture populations
Abstract
This paper examines the properties of the Gini coefficient estimator for gamma mixture populations and reveals the presence of bias. In contrast, we show that sampling from a gamma distribution yields an unbiased estimator, consistent with prior research (Baydil et al. 2025). We derive an explicit bias expression for the Gini coefficient in gamma mixture populations, which serves as the foundation for proposing bias-corrected Gini estimators. …
Authors
Vila R; Saulo H
Journal
Statistical Papers, Vol. 66, No. 7,
Publisher
Springer Nature
Publication Date
12 2025
DOI
10.1007/s00362-025-01768-w
ISSN
0932-5026