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Two-Sample Estimation of Poverty Rates for Disabled People: An Application to Tanzania


Tomoki Fujii


Singapore Management University - School of Economics

January 2008

SMU Economics & Statistics Working Paper No. 02-2008

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.

Number of Pages in PDF File: 36

Keywords: poverty, disability, Tanzania, aggregation, two-sample instrumental variable

JEL Classification: C20, I10, I32

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Date posted: January 26, 2008 ; Last revised: July 24, 2012

Suggested Citation

Fujii, Tomoki, Two-Sample Estimation of Poverty Rates for Disabled People: An Application to Tanzania (January 2008). SMU Economics & Statistics Working Paper No. 02-2008. Available at SSRN: http://ssrn.com/abstract=1087522 or http://dx.doi.org/10.2139/ssrn.1087522

Contact Information

Tomoki Fujii (Contact Author)
Singapore Management University - School of Economics ( email )
90 Stamford Road
178903
Singapore
+6568280279 (Phone)
+6568280833 (Fax)
HOME PAGE: http://www.mysmu.edu/faculty/tfujii/
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