Estimating Welfare Indices: Household Weights and Sample Design

Frank Cowell (f.cowell@lse.ac.uk) and Stephen Jenkins

STICERD - Distributional Analysis Research Programme Papers from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE

Abstract: The 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.

Keywords: Welfare index; inequality; poverty; sample; inference (search for similar items in EconPapers)
Date: 2000-06
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Related works:
Working Paper: Estimating Welfare Indices: Household Weights and Sample Design (2000)
Working Paper: Estimating welfare indices: household weights and sample design (2000)
Working Paper: Estimating welfare indices: household weights and sample design (2000)
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Persistent link: https://EconPapers.repec.org/RePEc:cep:stidar:48

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