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

  • Tomoki Fujii

    ()

    (School of Economics, Singapore Management University)

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.

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File URL: https://mercury.smu.edu.sg/rsrchpubupload/10945/est_tz.pdf
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Paper provided by Singapore Management University, School of Economics in its series Working Papers with number 02-2008.

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Length: 35 pages
Date of creation: Jan 2008
Date of revision:
Publication status: Published in SMU Economics and Statistics Working Paper Series
Handle: RePEc:siu:wpaper:02-2008
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  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, vol. 18(3), pages 401-421.
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