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An Analysis of Some Properties of Alternative Measures of Income Inequality Based on the Gamma Distribution Function
James B. McDonald and Bartell C. Jensen
Journal of the American Statistical Association
Vol. 74, No. 368 (Dec., 1979), pp. 856-860
Stable URL: http://www.jstor.org/stable/2286411
Page Count: 5
You can always find the topics here!Topics: Maximum likelihood estimation, Income inequality, Statistical discrepancies, Sample size, Entropy, Estimators, Sample mean, Estimation methods, Distribution functions, Method of moments
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The Gini, Theil entropy, and Pietra measures of inequality associated with the gamma distribution function are expressed in terms of the parameters defining the gamma distribution. Method of moments (MME) and maximum likelihood estimators (MLE) of these measures are obtained along with expressions for the asymptotic standard errors of the MLE measures. A table is presented that facilitates the calculation of MLE of inequality measures and the associated asymptotic standard errors by expressing each as a function of the ratio of the arithmetic mean and geometric mean. This table also facilitates the calculation of MME estimates of inequality measures. The results of a Monte Carlo study are used to compare the performance of the MME and MLE for data generated from a population characterized by a gamma distribution and to consider questions of statistical inference and requisite sample size.
Journal of the American Statistical Association © 1979 American Statistical Association