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 DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 219.
Length: 19 p.
Date of creation: 2000
Date of revision:
Other versions of this item:
- Frank A Cowell & Stephen P Jenkins, 2000. "Estimating Welfare Indices: Household Weights and Sample Design," STICERD - Distributional Analysis Research Programme Papers 48, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- 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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