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

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  • Tomoki Fujii

    (School of Economics, Singapore Management University)

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," Working Papers 02-2008, Singapore Management University, School of Economics.
    • Handle: RePEc:siu:wpaper:02-2008
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    File URL: https://mercury.smu.edu.sg/rsrchpubupload/10945/est_tz.pdf
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    References listed on IDEAS

    as
    1. Chris Elbers & Peter F. Lanjouw & Johan A. Mistiaen & Berk Özler & Ken Simler, 2004. "On the Unequal Inequality of Poor Communities," The World Bank Economic Review, World Bank, vol. 18(3), pages 401-421.
    2. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    3. Currie, Janet & Yelowitz, Aaron, 2000. "Are public housing projects good for kids?," Journal of Public Economics, Elsevier, vol. 75(1), pages 99-124, January.
    4. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    5. Bjorklund, Anders & Jantti, Markus, 1997. "Intergenerational Income Mobility in Sweden Compared to the United States," American Economic Review, American Economic Association, vol. 87(5), pages 1009-1018, December.
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    Cited by:

    1. Hirukawa, Masayuki & Prokhorov, Artem, 2018. "Consistent estimation of linear regression models using matched data," Journal of Econometrics, Elsevier, vol. 203(2), pages 344-358.

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    More about this item

    Keywords

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    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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