en
Report
Open access
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
881views
355downloads

Technical informations

Creation05/12/2010 11:19:00 AM
First validation05/12/2010 11:19:00 AM
Update time03/14/2023 3:29:06 PM
Status update03/14/2023 3:29:06 PM
Last indexation01/15/2024 7:58:49 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack