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Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad

Theresa Beltramo, Hai-Anh Dang (), Ibrahima Sarr and Paolo Verme ()

No 538, GLO Discussion Paper Series from Global Labor Organization (GLO)

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.

Keywords: Refugees; Forced displacement; Targeting; Poverty; Chad (search for similar items in EconPapers)
JEL-codes: C15 F22 I32 O15 O20 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-mig
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https://www.econstor.eu/bitstream/10419/216898/1/GLO-DP-0538.pdf (application/pdf)

Related works:
Working Paper: Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad (2021) Downloads
Working Paper: Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad (2020) Downloads
Working Paper: Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad (2020) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:538

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