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;
Other versions of this item:
- Frank Cowell & Maria-Pia Victoria-Feser, 1999. "Statistical inference for welfare under complete and incomplete information," LSE Research Online Documents on Economics 2054, London School of Economics and Political Science, LSE Library.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
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- 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.
- 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.
- 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.
- 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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