Statistical Inference for Welfare under Complete and Incomplete Information
AbstractWe 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.
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Bibliographic InfoPaper provided by Suntory and Toyota International Centres for Economics and Related Disciplines, LSE in its series STICERD - Distributional Analysis Research Programme Papers with number 47.
Date of creation: Dec 1999
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Web page: http://sticerd.lse.ac.uk/_new/publications/default.asp
Inequality measurement; Income distribution; Lorenz curve; influence function; sampling variance; censoring; trimming;
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