Robust Methods for the Analysis of Income Distribution, Inequality and Poverty

DOI10.1111/J.1751-5823.2000.TB00331.XzbMath1107.62377OpenAlexW1488928977MaRDI QIDQ4831977

Maria-Pia Victoria-Feser

Publication date: 3 January 2005

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://archive-ouverte.unige.ch/unige:6452

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Robustness and adaptive procedures (parametric inference) (62F35) Statistical methods; economic indices and measures (91B82)

Related Items (5)

Consistency of minimum divergence estimators based on grouped data ⋮ Quantile versions of the Lorenz curve ⋮ Linearization of inequality indices in the design-based framework ⋮ On the Influence Function of the Quintile Share Ratio ⋮ Minimum distance estimation of parametric Lorenz curves based on grouped data

Cites Work

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• Growth and poverty
• Influence curves of general statistics
• Unequal inequalities. I, II
• A Class of Decomposable Poverty Measures
• The Influence Curve and Its Role in Robust Estimation
• Poverty: An Ordinal Approach to Measurement
• Robust methods for personal‐income distribution models
• Robust Bounded-Influence Tests in General Parametric Models
• Robust Estimation for Grouped Data
• Robustness Properties of Inequality Measures
• Robust Statistics

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