Greselin, Francesca and Pasquazzi, Leo (2011): Estimation of Zenga's new index of economic inequality in heavy tailed populations.
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Abstract
In this work we propose a new estimator for Zenga's inequality measure in heavy tailed populations. The new estimator is based on the Weissman estimator for high quantiles. We will show that, under fairly general conditions, it has asymptotic normal distribution. Further we present the results of a simulation study where we compare confidence intervals based on the new estimator with those based on the plug-in estimator.
Item Type: | MPRA Paper |
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Original Title: | Estimation of Zenga's new index of economic inequality in heavy tailed populations |
English Title: | Estimation of Zenga's new index of economic inequality in heavy tailed populations |
Language: | English |
Keywords: | Heavy-tailed distributions, inequality measures, conditional tail expectation, Hill estimator, Weissman estimator, extreme value theory |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General |
Item ID: | 31230 |
Depositing User: | Francesca Greselin |
Date Deposited: | 02 Jun 2011 08:16 |
Last Modified: | 01 Oct 2019 19:40 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/31230 |