Two-sample estimation of poverty rates for disabled people : an application to Tanzania
AbstractEstimating 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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Bibliographic InfoPaper provided by East Asian Bureau of Economic Research in its series Microeconomics Working Papers with number 22420.
Date of creation: Jan 2008
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poverty; disability; Tanzania; aggregation; two-sample instrumental variable estimation;
Other versions of this item:
- 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.
- 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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- 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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