Two-sample estimation of poverty rates for disabled people: an application to Tanzania
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.
|Date of creation:||Jan 2008|
|Publication status:||Published in SMU Economics and Statistics Working Paper Series|
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- 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.
- Elbers, Chris & Lanjouw, Peter F. & Mistiaen, Johan & Ozler, Berk & Simler, Ken, 2004. "On the unequal inequality of poor communities," Policy Research Working Paper Series 3313, The World Bank.
- Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank. Full references (including those not matched with items on IDEAS)
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