Statistical inference for welfare under complete and incomplete information

Frank Cowell () and Maria-Pia Victoria-Feser ()

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

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 (search for similar items in EconPapers)
JEL-codes: C13 D63 (search for similar items in EconPapers)
Pages: 37 pages
Date: 1999-12
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Citations: View citations in EconPapers (5)

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http://eprints.lse.ac.uk/2054/ Open access version. (application/pdf)

Related works:
Working Paper: Statistical Inference for Welfare under Complete and Incomplete Information (1999)
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Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:2054

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