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.
تفاصيل
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المؤلف
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تاريخ الوثيقة
2017/09/12
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نوع الوثيقة
ورقة عمل خاصة ببحوث السياسات
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رقم التقرير
WPS8191
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مجلد رقم
1
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عدد المجلدات
1
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البلد
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المنطقة
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تاريخ الإفصاح
2017/09/12
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حالة الافصاح
Disclosed
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اسم الوثيقة
Optimal targeting under budget constraints in a humanitarian context
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كلمة أساسية
leakage rate;food voucher;coverage rate;terms of poverty reduction;expenditure per capita;income and expenditure;impact of conflict;quality of data;cash program;international poverty line;household food security;per capita basis;credit risk analysis;international aid community;Internally Displaced Person;social protection program;world food programme;household budget survey;place of destination;conflict and violence;welfare aggregate;home visit;budget constraint;universal coverage;budget scenario;vertical line;Displaced Population;cash assistance;explanatory power;independent variable;random sample;refugee population;humanitarian operation;registry data;displaced people;summary statistic;individual variable;quality datum;Civil War;budget choice;optimal targeting;inclusion error;exclusion error;decreasing leakage;marital status;parameter estimate;targeting performance;leakage cost;efficiency criterion;geographical targeting;family head;pattern recognition;performance comparison;Violent Conflict;nutrition intervention;participatory management;administrative budget;administrative constraint;nutrition level;public action;machine learning;food shortage;field staff;communal conflict;host population;affected population;binomial models;forced displacement;food supply;measuring welfare;social assistance;consumption aggregate;income question;systematic procedure;global knowledge;selection method;standard approach;welfare approach;direct beneficiaries;physical infrastructure;food retail;tax receipt;humanitarian community;welfare economics;registration system;continuous basis;popular measure;consumption datum;welfare criterion;geographic targeting;target resources;food assistance;free movement;Cash Transfer;statistical tool;Political Economy;welfare program;budget target;funding decision;refugee status;food insecurity;financial resource;guiding principles;open access;development policy;welfare perspective;optimal choice;annual budget;humanitarian crisis;coping strategy;entitlement criterion;humanitarian assistance;budget criterion;sensitivity analysis;comparing poverty;
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