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The Properties of the Watts Poverty Index under Lognormality

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  • Christophe Muller

    () (University of Nottingham)

Abstract

Under lognormality assumption, we derive the parametric formula of the Watts measure, one of the main axiomatically sound poverty measures. In these conditions, we derive new properties of the Watts measure, its sensitivity to distribution parameters and its parametric standard error.

Suggested Citation

  • Christophe Muller, 2001. "The Properties of the Watts Poverty Index under Lognormality," Economics Bulletin, AccessEcon, vol. 9(1), pages 1-9.
  • Handle: RePEc:ebl:ecbull:eb-01i30001
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Mussa, Richard, 2015. "A regression based model of average exit time from poverty with application to Malawi," MPRA Paper 65204, University Library of Munich, Germany.
    2. Christophe Muller, 2005. "Poverty and inequality under income and price dispersions," Canadian Journal of Economics, Canadian Economics Association, vol. 38(3), pages 979-998, August.
    3. Christophe Muller, 2006. "Poverty Simulation And Price Changes," Working Papers. Serie AD 2006-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Christophe Muller, 2006. "Defining Poverty Lines As a Fraction of Central Tendency," Southern Economic Journal, Southern Economic Association, vol. 72(3), pages 720-729, January.
    5. Hajargasht, Gholamreza & Griffiths, William E., 2013. "Pareto–lognormal distributions: Inequality, poverty, and estimation from grouped income data," Economic Modelling, Elsevier, vol. 33(C), pages 593-604.

    More about this item

    Keywords

    Income Distribution;

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • D6 - Microeconomics - - Welfare Economics

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