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Estimating welfare indices: household weights and sample design

Author

Listed:
  • P. Jenkins, Stephen
  • A. Cowell, Frank

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.
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(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • P. Jenkins, Stephen & A. Cowell, Frank, 2000. "Estimating welfare indices: household weights and sample design," ISER Working Paper Series 2000-23, Institute for Social and Economic Research.
    • Handle: RePEc:ese:iserwp:2000-23
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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.

    More about this item

    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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