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Welfare Judgements in the Presence Contaminated Data

PublisherLondon School of Economics
Collection
  • DARP discussion papers; 13
Publication date1996
Abstract

The economic analysis of income distribution and related topics makes extensive use of dominance criteria to draw inferences about welfare comparisons. However it is possible that - just as some inequality statistics can be very sensitive to extreme values - conclusions drawn from empirical implementations of dominance criteria may also be influenced by data contamination. We show the conditions under which this may occur and propose empirical methods to work round the problem.

Keywords
  • Welfare dominance
  • Lorenz curve
  • Robustness
Citation (ISO format)
COWELL, Frank, A., VICTORIA-FESER, Maria-Pia. Welfare Judgements in the Presence Contaminated Data. 1996
Identifiers
  • PID : unige:23113
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First validation09/10/2012 4:16:00 PM
Update time03/14/2023 5:41:42 PM
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