EconPapers    
Economics at your fingertips  
 

Two-sample estimation of poverty rates for disabled people: an application to Tanzania

Tomoki Fujii ()

No 02-2008, Working Papers from Singapore Management University, School of Economics

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.

Keywords: poverty; disability; Tanzania; aggregation; two-sample instrumental variable estimation (search for similar items in EconPapers)
JEL-codes: C20 I10 I32 (search for similar items in EconPapers)
Date: 2008-01

Published in SMU Economics and Statistics Working Paper Series

Downloads: (external link)
https://mercury.smu.edu.sg/rsrchpubupload/10945/est_tz.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:siu:wpaper:02-2008

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Working Papers from Singapore Management University, School of Economics
Contact information at EDIRC.
Series data maintained by QL THor ().

 
Page updated 2009-11-26
Handle: RePEc:siu:wpaper:02-2008