Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/216898
Authors: 
Beltramo, Theresa
Dang, Hai-Anh H.
Sarr, Ibrahima
Verme, Paolo
Year of Publication: 
2020
Series/Report no.: 
GLO Discussion Paper No. 538
Abstract: 
Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad, by combining United Nations High Commissioner for Refugees survey and administrative data. The proposed method offers poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey consumption data. This result is robust to different poverty lines, sets of regressors, and modeling assumptions of the error term. The method outperforms common targeting methods, such as proxy means tests and the targeting method currently used by humanitarian organizations in Chad.
Subjects: 
Refugees
Forced displacement
Targeting
Poverty
Chad
JEL: 
C15
F22
I32
O15
O20
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.