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Bayesian Inference for Health Inequality and Welfare Using Qualitative Data "Abstract: We show how to use Bayesian inference to compare two ordinal categorical distributions commonly occurring with data on self-reported health status. Procedures for computing probabilities for first and second order stochastic dominance and equality or S-dominance are described, along with methodology for obtaining posterior densities for health inequality indices. The techniques are applied to four years of data on Australian self-reported health status."

Author

Listed:
  • David Gunawan

    (University of New South Wales)

  • William Griffths

    (Department of Economics, The University of Melbourne)

  • Duangkamon Chotikapanich

    (Monash University)

Abstract

No abstract is available for this item.

Suggested Citation

  • David Gunawan & William Griffths & Duangkamon Chotikapanich, 2017. "Bayesian Inference for Health Inequality and Welfare Using Qualitative Data "Abstract: We show how to use Bayesian inference to compare two ordinal categorical distributions commonly occurring wi," Department of Economics - Working Papers Series 2031, The University of Melbourne.
  • Handle: RePEc:mlb:wpaper:2031
    as

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    File URL: http://fbe.unimelb.edu.au/__data/assets/pdf_file/0007/2434597/2031BillGriffithsOrdinalDominanceJune2017.pdf
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    References listed on IDEAS

    as
    1. Gaston Yalonetzky, 2013. "Stochastic Dominance with Ordinal Variables: Conditions and a Test," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 126-163, January.
    2. Frank A. Cowell & Emmanuel Flachaire, 2017. "Inequality with Ordinal Data," Economica, London School of Economics and Political Science, vol. 84(334), pages 290-321, April.
    3. Abul Naga, Ramses H. & Yalcin, Tarik, 2008. "Inequality measurement for ordered response health data," Journal of Health Economics, Elsevier, vol. 27(6), pages 1614-1625, December.
    4. 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.
    5. Allison, R. Andrew & Foster, James E., 2004. "Measuring health inequality using qualitative data," Journal of Health Economics, Elsevier, vol. 23(3), pages 505-524, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Dominance probabilities; ordinal data; inequality indices.;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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