Publication Type

Working Paper

Publication Date

1-2008

Abstract

Estimating poverty measures for disabled people in developing countries is di cult, 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.

Keywords

poverty, disability, Tanzania, aggregation, two-sample instrumental variable estimation

Discipline

Growth and Development | Income Distribution

Research Areas

Macroeconomics

Publisher

Singapore Management University

City or Country

Singapore

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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