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Estimation of inequality indices

Author

Listed:
  • Cowell, Frank

Abstract

Inequality measures are powerful tools of applied welfare analysis. However, to use the tools effectively one has to take into account the characteristics of the data with which one usually has to work. These raise a number of common statistical problems which are addressed here for both micro-data and group data. The theoretical properties of inequality measures can often be used to simplify these problems and derive implementable algorithms.

Suggested Citation

  • Cowell, Frank, 1996. "Estimation of inequality indices," LSE Research Online Documents on Economics 2229, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:2229
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    File URL: https://researchonline.lse.ac.uk/id/eprint/2229/
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    Cited by:

    1. Ndeye Fatou FAYE & Moussa SALL & François AFFHOLDER & Françoise GERARD, 2019. "Inégalités de revenu en milieu rural dans le bassin arachidier du Sénégal," Working Paper 34d2e437-5e15-4a11-b09d-0, Agence française de développement.
    2. Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.
    3. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.
    4. Duangkamon Chotikapanich & William E. Griffiths, 2008. "Estimating Income Distributions Using a Mixture of Gamma Densities," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 16, pages 285-302, Springer.
    5. Juan Ramón García, "undated". "La desigualdad salarial en España. Efectos de un diseño muestral complejo," Working Papers 2003-26, FEDEA.

    More about this item

    Keywords

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    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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