Bayesian estimation of Lorenz curve, Gini-index and variance of logarithms in a Pareto distribution

E.I. Abdul-Sathar, E.S. Jeevanand and K.R. Muraleedharan Nair
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E.I. Abdul-Sathar: Indian Institute of Management Kozhikode- Calicut - India

Statistica, 2005, vol. 65, issue 2, 193-205

Abstract: In this article, we estimate Lorenz curve, Gini-index and variance of logarithms for Pareto distribution using Bayesian framework with a conjugate prior. Our proposed Bayesian estimators are compared using a Monte Carlo study, to the MLE estimator proposed by Moothathu (1990) in terms of variance. It is found that the proposed estimators are highly efficient.

Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:65:y:2005:i:2:p:193-205

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