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Robustness Properties of Inequality Measures: The Influence Function and the Principle of Transfers

Number of pages48
PublisherLondon
Collection
  • DARP discussion paper; 1
Publication date1993
Abstract

Inequality measures are often used fot summarise information about empirical income distributions. However, the resulting picture of the distribution and of changes in the distribution can be severely distorted if the data are contaminated. The nature of this distortion will in general depend upon the underlying properties of the inequality measure. We investigate this issue theoretically using a technique based on the influence function, and illustrate the magnitude of the effect using a simulation. We consider both direct nonparametric estimation from the sample, and indirect estimation using a parametric model. In the latter case we demonstratge the application of a robust estimation procedure.

Keywords
  • Inequality measurement
  • Transfer principle
  • Influence function
  • Robust estimation
Citation (ISO format)
COWELL, Frank, VICTORIA-FESER, Maria-Pia. Robustness Properties of Inequality Measures: The Influence Function and the Principle of Transfers. 1993
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accessLevelPublic
Identifiers
  • PID : unige:6613
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Creation05/12/2010 11:37:00 AM
First validation05/12/2010 11:37:00 AM
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