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Two-sample estimation of poverty rates for disabled people : an application to Tanzania

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  • Tomoki Fujii

    (SMU)

Abstract

Estimating poverty measures for disabled people in developing countries is difficult, partly because relevant data are not available. We develop two methods to estimate poverty by the disability status of the household head. We extend the small-area estimation proposed by Elbers, Lanjouw and Lanjouw (2002, 2003) so that we can run a regression on head's disability status even when such information is unavailable in the survey. We do so by aggregation and by moment adjusted two sample instrumental variable estimation. Our results from Tanzania show that both methods work well, and that disability is indeed associated with poverty.

Suggested Citation

  • Tomoki Fujii, 2008. "Two-sample estimation of poverty rates for disabled people : an application to Tanzania," Microeconomics Working Papers 22420, East Asian Bureau of Economic Research.
  • Handle: RePEc:eab:microe:22420
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    File URL: http://www.eaber.org/node/22420
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    References listed on IDEAS

    as
    1. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    2. Chris Elbers & Peter F. Lanjouw & Johan A. Mistiaen & Berk Özler & Ken Simler, 2004. "On the Unequal Inequality of Poor Communities," World Bank Economic Review, World Bank Group, pages 401-421.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    poverty; disability; Tanzania; aggregation; two-sample instrumental variable estimation;

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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