Report
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English

Statistical Inference for Welfare under Complete and Incomplete Information

Number of pages37
PublisherLondon
Collection
  • DARP discussion paper; 47
Publication date1999
Abstract

We show how a collection of results in the literature on the empirical estimation of welfare indicators from sample data can be unified. We also demonstrate how some of these ideas can be extended to empirically important cases where the data have been trimmed or censored.

Keywords
  • Inequality measurement
  • Income distribution
  • Lorenz curve
  • Influence function
  • Sampling variance
  • Censoring
  • Trimming
Citation (ISO format)
COWELL, Frank, VICTORIA-FESER, Maria-Pia. Statistical Inference for Welfare under Complete and Incomplete Information. 1999
Main files (1)
Report
accessLevelPublic
Identifiers
  • PID : unige:6618
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Creation12/05/2010 11:19:00
First validation12/05/2010 11:19:00
Update time14/03/2023 15:29:06
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