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.
Highlights
The availability of highquality household consumption surveys is essential, and it is important for these surveys to be inclusive and cover marginal populations, such as refugees and internally displaced persons (IDPs)
Given that the Post-Distribution Monitoring (PDM) is a subsample of the Targeting or ProGres data sets, we need a test that is suitable for partially overlapping samples
It shows that no variable has a variance inflation factor (VIF) that is over 5, and the mean VIF is smaller than this threshold
Summary
UN General Assembly Sustainable Development Goal 1—End poverty in all its forms by 2030— explicitly pledges that “no one will be left behind.” To achieve this goal, the availability of highquality household consumption surveys is essential, and it is important for these surveys to be inclusive and cover marginal populations, such as refugees and internally displaced persons (IDPs). UN General Assembly Sustainable Development Goal 1—End poverty in all its forms by 2030— explicitly pledges that “no one will be left behind.” To achieve this goal, the availability of highquality household consumption surveys is essential, and it is important for these surveys to be inclusive and cover marginal populations, such as refugees and internally displaced persons (IDPs). Household consumption surveys rarely include forcibly displaced populations, despite that these populations are among the most vulnerable and deprived They lack fundamental rights such as freedom of movement and the right to work, have eroded human and physical capital, and face more frequent shocks than surrounding host communities do. This is a significant and growing challenge, in Sub-Saharan Africa. Measuring poverty among displaced populations in Sub-Saharan Africa is a important task that is severely hampered by missing household consumption data.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
