Estimating Welfare Indices: Household Weights and Sample Design
AbstractThe techniques of simple random sampling are seldom appropriate in the empirical analysis of income distributions. Various types of weighting schemes are usually required either from the point of view of welfare-economic considerations (the mapping of household/family distributions into individual distributions) or from the point of view of sample design. The different types of weights have different implications for the sampling distribution of estimators of welfare indices.
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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 48.
Date of creation: Jun 2000
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Web page: http://sticerd.lse.ac.uk/_new/publications/default.asp
Welfare index; inequality; poverty; sample; inference;
Other versions of this item:
- Frank A. Cowell & Stephen P. Jenkins, 2000. "Estimating Welfare Indices: Household Weights and Sample Design," Discussion Papers of DIW Berlin 219, DIW Berlin, German Institute for Economic Research.
- Frank Cowell & Stephen P Jenkins, 2000. "Estimating welfare indices : household weights and sample design," LSE Research Online Documents on Economics 2160, 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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78, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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- repec:ese:iserwp:2003-11 is not listed on IDEAS
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