Title : ( A comparative study of the Gini coefficient estimators based on the linearization and U-statistics methods )
Authors: shahryar mirzaei , Gholam Reza Mohtashami Borzadaran , Mohammad Amini ,
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Abstract
In this paper, we consider two well-known methods for analysis of the Gini index, which are U-statistics and linearization for some income distributions. In addition, we evaluate two different methods for some properties of their proposed estimators. Also, we compare two methods with resampling techniques in approximating some properties of the Gini index. A simulation study shows that the linearization method performs well compared to the Gini estimator based on U-statistics. A brief study on real data supports our findings.
Keywords
, Gini coefficient, Income distribution, Linearization method, Resampling techniques, U-statistics
@article{paperid:1068798,
author = {Mirzaei, Shahryar and Mohtashami Borzadaran, Gholam Reza and Amini, Mohammad},
title = {A comparative study of the Gini coefficient estimators based on the linearization and U-statistics methods},
journal = {Revista Colombiana de Estadistica},
year = {2017},
volume = {40},
number = {2},
month = {July},
issn = {0120-1751},
pages = {205--221},
numpages = {16},
keywords = {Gini coefficient; Income distribution; Linearization method; Resampling techniques; U-statistics},
}
%0 Journal Article
%T A comparative study of the Gini coefficient estimators based on the linearization and U-statistics methods
%A Mirzaei, Shahryar
%A Mohtashami Borzadaran, Gholam Reza
%A Amini, Mohammad
%J Revista Colombiana de Estadistica
%@ 0120-1751
%D 2017
