Publication Type
Journal Article
Version
publishedVersion
Publication Date
8-2023
Abstract
Estimating poverty measures for disabled people in developing countries is often difficult, partly because relevant data are not readily available. We extend the small-area estimation developed by Elbers, Lanjouw and Lanjouw (2002, 2003) to estimate poverty by the disability status of the household head, when the disability status is unavailable in the survey. We propose two alternative approaches to this extension: Aggregation and Instrumental Variables Approaches. We apply these approaches to data from Tanzania and show that both approaches work. Our estimation results show that disability is indeed positively associated with poverty in every region of mainland Tanzania.
Keywords
Poverty, Disability, Tanzania, Aggregation, Two-sample instrumental variables estimation
Discipline
Arts and Humanities | Econometrics
Research Areas
Applied Microeconomics
Publication
Empirical Economics
ISSN
0377-7332
Identifier
10.1007/s00181-023-02478-8
Publisher
Springer
Citation
FUJII, Tomoki.
Spatial disaggregation of poverty and disability: Application to Tanzania. (2023). Empirical Economics.
Available at: https://ink.library.smu.edu.sg/soe_research/2692
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s00181-023-02478-8