Statistical inference for welfare under complete and incomplete information

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.

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Year of publication:	1999-12
Authors:	Cowell, Frank ; Victoria-Feser, Maria-Pia
Institutions:	London School of Economics (LSE)
Subject:	inequality measurement \| income distribution \| Lorenz curve \| influence function \| sampling variance \| censoring \| trimming

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Extent:	application/pdf
Series:	LSE Research Online Documents on Economics.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Distributional Analysis Research Programme; DARP 47, 47 37 pages
Classification:	C13 - Estimation ; D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010746196