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Optimal targeting under budget constraints in a humanitarian context

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  • Gigliarano,Chiara
  • Verme,Paolo

Abstract

The combination of conflict, food insecurity, and displacement generates competing claims for financial resources that stretch the donors'ability to provide funding and the humanitarian organizations'capacity to provide social assistance. The paper uses Receiver Operating Characteristic curves and related indexes to determine the optimal targeting strategy of a food voucher program for refugees. The estimations focus on the 2014 food vouchers administered by the World Food Programme to Syrian refugees in Jordan. The analysis uses data collected by the United Nations High Commissioner for Refugees. Based on a poverty model, Receiver Operating Characteristic curves are used to optimize coverage and leakage rates under budget constraints. The paper shows how policy makers can use these instruments to fine-tune targeting using coverage rates, budgets, or poverty lines as guiding principles to increase the overall efficiency of a program. As humanitarian organizations operate under increasing budget constraints and increasing demands for efficiency, the proposed approach addresses both concerns.

Suggested Citation

  • Gigliarano,Chiara & Verme,Paolo, 2017. "Optimal targeting under budget constraints in a humanitarian context," Policy Research Working Paper Series 8191, The World Bank.
  • Handle: RePEc:wbk:wbrwps:8191
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Pape, Utz & Verme, Paolo, 2023. "Measuring Poverty in Forced Displacement Contexts," GLO Discussion Paper Series 1245, Global Labor Organization (GLO).
    2. Želinský, Tomáš & Ng, Jason Wei Jian & Mysíková, Martina, 2020. "Estimating subjective poverty lines with discrete information," Economics Letters, Elsevier, vol. 196(C).
    3. Theresa Beltramo & Hai-Anh Dang & Ibrahima Sarr & Paolo Verme, 2024. "Estimating poverty among refugee populations: a cross-survey imputation exercise for Chad," Oxford Development Studies, Taylor & Francis Journals, vol. 52(1), pages 94-113, January.
    4. Matthew C. LaFevor & Alexandra G. Ponette-González & Rebecca Larson & Leah M. Mungai, 2021. "Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages," Land, MDPI, vol. 10(7), pages 1-17, July.
    5. Abayomi Samuel Oyekale, 2022. "Poverty and Its Correlates among Kenyan Refugees during the COVID-19 Pandemic: A Random Effects Probit Regression Model," Sustainability, MDPI, vol. 14(16), pages 1-12, August.
    6. Brück, Tilman & d’Errico, Marco & Pietrelli, Rebecca, 2019. "The effects of violent conflict on household resilience and food security: Evidence from the 2014 Gaza conflict," World Development, Elsevier, vol. 119(C), pages 203-223.
    7. Dang,Hai-Anh H. & Verme,Paolo, 2019. "Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity ?," Policy Research Working Paper Series 9076, The World Bank.
    8. Pascucci, Elisa, 2021. "More logistics, less aid: Humanitarian-business partnerships and sustainability in the refugee camp," World Development, Elsevier, vol. 142(C).
    9. Altındağ, Onur & O'Connell, Stephen D. & Şaşmaz, Aytuğ & Balcıoğlu, Zeynep & Cadoni, Paola & Jerneck, Matilda & Foong, Aimee Kunze, 2021. "Targeting humanitarian aid using administrative data: Model design and validation," Journal of Development Economics, Elsevier, vol. 148(C).
    10. Verme, Paolo, 2020. "Which Model for Poverty Predictions?," GLO Discussion Paper Series 468, Global Labor Organization (GLO).
    11. Tandon, Sharad & Vishwanath, Tara, 2021. "How well is humanitarian assistance targeted in fragile environments? Evidence from the announcement of a food emergency in Yemen," Food Policy, Elsevier, vol. 102(C).
    12. Schnitzer,Pascale & Stoeffler,Quentin, 2021. "Targeting for Social Safety Nets : Evidence from Nine Programs in the Sahel," Policy Research Working Paper Series 9816, The World Bank.
    13. Mark Brennan & Stephen Graves & Jonars Spielberg & Bish Sanyal, 2022. "Operations, risk, and small firms: Field results from irrigation equipment vendors in Senegal," Production and Operations Management, Production and Operations Management Society, vol. 31(9), pages 3594-3610, September.

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    More about this item

    Keywords

    Inequality; Conflict and Fragile States; Food Security; Nutrition; Social Protections&Assistance;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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