Person:
Verme, Paolo
Author Name Variants
Fields of Specialization
Welfare,
Poverty,
Inequality,
Labor markets,
Refugees,
Middle East,
North Africa,
former Soviet Union
Degrees
ORCID
External Links
Departments
Global Practice on Poverty and Inequality
Externally Hosted Work
Contact Information
Last updated
January 31, 2023
Biography
Paolo Verme is Lead Economist at the World Bank. A Ph.D. graduate of the London School of Economics, he was Visiting Professor at Bocconi University in Milan (2004-2009) and at the University of Turin (2003-2010) before joining the World Bank in 2010. For almost two decades, he served as senior advisor and project manager for multilateral organizations, private companies and governments in the areas of labor market, welfare and social protection policies. His research is widely published in international journals, books and reports. His most recent book is on the welfare of Syrian refugees, a joint study between the World Bank and the UNHCR.
Publication Search Results
1 - 3 of 3
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Publication
The Welfare of Syrian Refugees: Evidence from Jordan and Lebanon
(Washington, DC: World Bank, 2016)The book focuses on the largest refugee crisis of our time: the Syrian refugee crisis. It exploits a wealth of survey and registry data on Syrian refugees living in Jordan and Lebanon to assess their poverty and vulnerability status, understand the predictors of these statuses, evaluate the performance of existing policies toward refugees, and determine the potential for alternative policies. Findings point to a complex situation. In the absence of humanitarian assistance, poverty is extremely high among refugees. Current policies including cash transfers and food vouchers are effective in reducing poverty but they remain short of providing economic inclusion and self-reliance of refugees. A shift toward economic inclusion and self-reliance would require a different humanitarian and development paradigm, one that focuses on growth policies for areas affected by refugees where the target population is constituted by refugees and hosting populations alike. This joint study by the World Bank Group and the United Nations High Commissioner for Refugees helps bridge the historical divide between humanitarian and development work by providing practical solutions for assisting refugees in the short, medium and long-term and to prevent the irreversible loss of social and human capital typically associated with prolonged refugee crises. -
Publication
Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
(World Bank, Washington, DC, 2019-12)The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper offers a first attempt to measure poverty among refugees using cross-survey imputations and administrative and survey data collected by the United Nations High Commissioner for Refugees in Jordan. Employing a small number of predictors currently available in the United Nations High Commissioner for Refugees registration system, the proposed methodology offers out-of-sample predicted poverty rates. These estimates are not statistically different from the actual poverty rates. The estimates are robust to different poverty lines, they are more accurate than those based on asset indexes or proxy means tests, and they perform well according to targeting indicators. They can also be obtained with relatively small samples. Despite these preliminary encouraging results, it is essential to replicate this experiment across countries using different data sets and welfare aggregates before validating the proposed method. -
Publication
Optimal Targeting under Budget Constraints in a Humanitarian Context
(World Bank, Washington, DC, 2017-09)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.