Publication Type
Working Paper
Version
publishedVersion
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
Applied Microeconomics
First Page
1
Last Page
35
Publisher
SMU Economics and Statistics Working Paper Series, No. 02-2008
City or Country
Singapore
Citation
FUJII, Tomoki.
Two-Sample Estimation of Poverty Rates for Disabled People: An Application to Tanzania. (2008). 1-35.
Available at: https://ink.library.smu.edu.sg/soe_research/1082
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.