Linearization of inequality indices in the design-based framework

DOI10.1080/02331888.2015.1135924zbMath1356.62014OpenAlexW2332315073MaRDI QIDQ2953453

Giancarlo Diana, Pier Francesco Perri, Lucio Barabesi

Publication date: 4 January 2017

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2015.1135924

zbMATH Keywords

influence functiongeneralized entropyvariance estimationinequality measuresubstitution estimator

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Point estimation (62F10) Sampling theory, sample surveys (62D05) Statistical methods; economic indices and measures (91B82)

Related Items (1)

On the estimation of the Lorenz curve under complex sampling designs

Cites Work

• On the Amato inequality index
• Gini index estimation in randomized response surveys
• Inference by linearization for Zenga's new inequality index: a comparison with the Gini index
• A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population
• Use of functionals in linearization and composite estimation with application to two-sample survey data
• Robust Methods for the Analysis of Income Distribution, Inequality and Poverty
• Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

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