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 A ; Victoria-Feser, Maria-Pia
Institutions:	Suntory and Toyota International Centres for Economics and Related Disciplines, LSE
Subject:	Inequality measurement \| Income distribution \| Lorenz curve \| influence function \| sampling variance \| censoring \| trimming

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Extent:	application/pdf
Series:	STICERD - Distributional Analysis Research Programme Papers.
Type of publication:	Book / Working Paper
Language:	English
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005670751