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Statistical Inference for Welfare under Complete and Incomplete Information

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Author Info
Frank A Cowell
Maria-Pia Victoria-Feser

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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.

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Publisher Info
Paper 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.

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Date of creation: Dec 1999
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Handle: RePEc:cep:stidar:47

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Related research
Keywords: Inequality measurement; Income distribution; Lorenz curve; influence function; sampling variance; censoring; trimming;

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  1. Frank A Cowell & Maria-Pia Victoria-Feser, 2001. "Distributional Dominance with Dirty Data," STICERD - Distributional Analysis Research Programme Papers 51, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
  2. Frank A Cowell & Maria-Pia Victoria-Feser, 2001. "Robust Lorenz Curves: A Semiparametric Approach," STICERD - Distributional Analysis Research Programme Papers 50, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
  3. Harkness, Susan, 2004. "Social and Political Indicators of Human Well-being," Working Papers UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER). [Downloadable!]
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