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Pro-poor growth and the lognormal income distribution

  • Peter J. Lambert

    ()

    (University of Oregon)

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    A widely accepted criterion for pro-poorness of an income growth pattern is that it should reduce a (chosen) measure of poverty by more than if all incomes were growing equiproportionately. Inequality reduction is not generally seen as either necessary or sufficient for pro-poorness. Because empirical income distributions fit well to the lognormal form, lognormality has sometimes been assumed in order to determine analytically the poverty effects of income growth. We show that in a lognormal world, growth is pro-poor in the above sense if and only if it is inequality-reducing. It follows that lognormality may not be a good paradigm by means of which to examine pro-poorness issues.

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    File URL: http://www.ecineq.org/milano/WP/ECINEQ2009-130.pdf
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    Paper provided by ECINEQ, Society for the Study of Economic Inequality in its series Working Papers with number 130.

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    Length: 16 pages
    Date of creation: 2009
    Date of revision:
    Handle: RePEc:inq:inqwps:ecineq2009-130
    Contact details of provider: Web page: http://www.ecineq.org
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