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Statistical Inference for Welfare under Complete and Incomplete Information

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  • Frank A Cowell
  • Maria-Pia Victoria-Feser

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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File URL: http://sticerd.lse.ac.uk/dps/darp/DARP47.pdf
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Bibliographic 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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Web page: http://sticerd.lse.ac.uk/_new/publications/default.asp

Related research

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

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Cited by:
  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.
  2. Frank Cowell & Maria-Pia Victoria-Feser, 2001. "Robust Lorenz curves : a semi-parametric approach," LSE Research Online Documents on Economics 2155, London School of Economics and Political Science, LSE Library.
  3. Harkness, Susan, 2004. "Social and Political Indicators of Human Well-being," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).

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