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

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.

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Year of publication:	2005
Authors:	ABDUL-SATHAR, E.I. ; JEEVANAND, E.S. ; NAIR, K.R. MURALEEDHARAN
Published in:	Statistica. - Dipartimento di Scienze Statistiche "Paolo Fortunati", ISSN 0390-590X. - Vol. 65.2005, 2, p. 193-205
Publisher:	Dipartimento di Scienze Statistiche "Paolo Fortunati"

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008774057