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Estimating poverty among refugee populations

A cross-survey imputation exercise for Chad

Bibliographic Data

ID21695057
AuthorsT Beltramo (0000-0001-5662-9834, Office of the United Nations High Commissioner for Refugees), Hai-Anh Dang (0000-0003-4913-5291, Development Data Group, World Bank Group, Washington, DC, USA, corresponding author), Ibrahima Sarr (Analytics and Research Unit, UNHCR, Geneva, Switzerland), Paolo Verme (0000-0002-8754-1138, Fragility, Conflic, Strategy, Analytics, Financing Solutions, and Knowledge Unit, World Bank Group, Washington, DC, USA)
Year2024
Volume52
Issue1
Pages94-113
Publication date2024-01-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueOxford Development Studies (JOURNAL)
Journal identifiersISSN: 1360-0818 • E-ISSN: 1469-9966
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13600818.2024.2313216
OpenAlexW4287104449
LanguageEN
Citations received2
References cited19

Household consumption surveys do not typically offer poverty estimates for refugees. We test the performance of a recently developed cross-survey imputation method to estimate poverty for a sample of refugees in Chad, combining survey and administrative data collected by the United Nations High Commissioner for Refugees (UNHCR). We find the imputed poverty rates are not statistically different from the poverty rates obtained directly from the survey consumption data. This result is robust to different model specifications, varying poverty lines, and assumptions of the error terms. Targeting results based on the imputed poverty estimates also outperform common targeting methods, such as proxy means tests and the current targeting method used by humanitarian organizations in Chad. Replicating this approach in at least some of the 122 other countries currently using UNHCR administrative data could help address data gaps and provide much-needed estimates to effectively respond to forcibly displaced crises

Demographic economics · Development economics · Econometrics · Economic growth · Economics · Estimation · Missing data · Political science · Population · Poverty · Refugee · Small area estimation · Sociology · Statistics · Survey data collection · Survey sampling · Agricultural risk and resilience · Demography · Income, Poverty, and Inequality · Poverty, Education, and Child Welfare

  • Better tracking SDG progress with fewer resources? A call for more innovative data uses

    Open Access•Hai-Anh Dang, Calogero Carletto et al.•World Development Perspectives•2025

  • Using Cross-Survey Imputation to Estimate Poverty for Venezuelan Refugees in Colombia

    Open Access•Ibrahima Sarr, Hai-Anh Dang et al.•Social Indicators Research•2025

  • How Survey-to-Survey Imputation Can Fail

    David Newhouse, Shivapragasam Shivakumaran et al.•2014

  • Targeting of Transfers in Developing Countries

    David Coady, Margaret Grosh et al.•Targeting of Transfers in…•2004

  • To impute or not to impute, and how? A review of poverty‐estimation methods in the absence of consumption data

    Open Access•Hai-Anh Dang, Hai‐Anh H Dang•Development Policy Review•2021

  • Poverty in a Rising Africa

    Kathleen Beegle, Luc Christiaensen et al.•Poverty in a Rising Africa•2016

  • Micro-Level Estimation of Poverty and Inequality

    Open Access•Chris Elbers, Jean O Lanjouw et al.•Econometrica•2003

  • Calculating Comparable Statistics From Incomparable Surveys, With an Application to Poverty in India

    Alessandro Tarozzi•Journal of Business and Economic…•2007

  • A model based approach for predicting annual poverty rates without expenditure data

    Open Access•Astrid Mathiassen•The Journal of Economic Inequality•2007

  • Estimating poverty for refugees in data-scarce contexts

    Open Access•Hai-Anh Dang, Paolo Verme•Journal of Population Economics•2022

  • Targeting the Poor in Mexico

    Open Access•Emmanuel Skoufias, Benjamin Davis et al.•World Development•2001

  • Optimal targeting under budget constraints in a humanitarian context

    Open Access•Paolo Verme, Chiara Gigliarano•World Development•2018

  • Child poverty among refugees

    Open Access•T Beltramo, Theresa P Beltramo et al.•World Development•2023

  • Targeting humanitarian aid using administrative data

    Open Access•Onur Altındağ, Stephen D O''Connell et al.•Journal of Development Economics•2020

Unique citing works2
Citations per year2
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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