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Estimating welfare indices : household weights and sample design

Author

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  • Cowell, Frank
  • Jenkins, Stephen P
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.

Suggested Citation

  • Cowell, Frank & Jenkins, Stephen P, 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.
    • Handle: RePEc:ehl:lserod:2160
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    File URL: http://eprints.lse.ac.uk/2160/
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    References listed on IDEAS

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    2. Cowell, F.A., 2000. "Measurement of inequality," Handbook of Income Distribution, in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 2, pages 87-166, Elsevier.
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    7. Cowell, Frank A., 1989. "Sampling variance and decomposable inequality measures," Journal of Econometrics, Elsevier, vol. 42(1), pages 27-41, September.
    8. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
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    10. Coulter, Fiona A E & Cowell, Frank A & Jenkins, Stephen P, 1992. "Equivalence Scale Relativities and the Extent of Inequality and Poverty," Economic Journal, Royal Economic Society, vol. 102(414), pages 1067-1082, September.
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    Cited by:

    1. Heshmati, Almas, 2004. "Data Issues and Databases Used in Analysis of Growth, Poverty and Economic Inequality," IZA Discussion Papers 1263, Institute of Labor Economics (IZA).
    2. Stephen Jenkins, 2005. "Estimation of inequality indices from survey data, allowing for design effects," United Kingdom Stata Users' Group Meetings 2005 07, Stata Users Group.
    3. Fiorio, Carlo V., 2006. "Understanding inequality trends: microsimulation decomposition for Italy," LSE Research Online Documents on Economics 6544, London School of Economics and Political Science, LSE Library.
    4. P. Jenkins, Stephen & Biewen, Martin, 2003. "Estimation of Generalized Entropy and Atkinson inequality indices from survey data," ISER Working Paper Series 2003-11, Institute for Social and Economic Research.
    5. Martin Biewen & Stephen P. Jenkins, 2003. "Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data," Discussion Papers of DIW Berlin 345, DIW Berlin, German Institute for Economic Research.

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    More about this item

    Keywords

    Welfare index; inequality; poverty; sample; inference;
    All these keywords.

    JEL classification:

    • 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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