Variance estimators of the Gini coefficient simple random sampling
type: Item
instance of: scholarly article
title: Variance estimators of the Gini coefficient simple random sampling
zbMATH Open document ID: 0607.62140
author: Arne Sandström
author: Jan Wretman
author: Bertil Waldén
published in: Metron
publication date: 1985-01-01T00:00:00Z
review text: Computations of income inequality measures are usually based on data from sample surveys. The most well-known measure is the Gini coefficient, which is a ratio statistic. We study both the exact sampling distribution obtained by simple random sampling without replacement from two small populations and approximated sampling distributions based on simulations. Four variance estimators are compared.
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 62D05
zbMATH DE Number: 3982382
zbMATH Keywords: Monte Carlo studies
zbMATH Keywords: income inequality measures
zbMATH Keywords: Gini coefficient
zbMATH Keywords: exact sampling distribution
zbMATH Keywords: simple random sampling without replacement
zbMATH Keywords: simulations
zbMATH Keywords: variance estimators
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 3982382