Statistical Inference for Welfare under Complete and Incomplete Information

Frank Cowell (f.cowell@lse.ac.uk) and Maria-Pia Victoria-Feser (maria.victoriafeser@unibo.it)

STICERD - Distributional Analysis Research Programme Papers from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE

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)
Date: 1999-12
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Citations: View citations in EconPapers (5)

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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:cep:stidar:47

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