del Ninno, Carlo

Global Practice for Social Protection and Labor, The World Bank
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Global Practice for Social Protection and Labor, The World Bank
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Last updated January 31, 2023
Carlo del Ninno is a senior economist in the Social Protection Africa Unit of the World Bank, working on several aspects of safety net policies and programs. He previously worked in the Social Protection and Labor practice of the Human Development Network at the World Bank. Over the past 10 years, he has worked on analytical and operational issues on safety net programs covering several countries in Africa and South Asia. Before joining the World Bank, he worked on food security for the International Food Policy Research Institute in Bangladesh, and on poverty analysis in several countries for the Policy Research Division of the World Bank and Cornell University. He received his Ph.D. from the University of Minnesota and has published on safety nets, food policy, and food security.
Citations 27 Scopus

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    Reaching the Poor: Cash Transfer Program Targeting in Cameroon
    (Elsevier, 2016-07) Stoeffler, Quentin ; Mills, Bradford ; del Ninno, Carlo
    Identifying and selecting poor households with efficient targeting methods is essential for effective poverty alleviation programs. This paper assesses the ex-post performance of two popular targeting mechanisms, Proxy Means Testing (PMT) and Community-Based Targeting (CBT), in a pilot cash transfer program in Cameroon. Several indicators and metrics to measure each method’s performance in terms of inclusion of poor households and exclusion of non-poor households are employed. Results consistently show that CBT performs poorly in terms of selecting households with low per capita consumption when compared to PMT. CBT appears to select households with low physical and human capital, regardless of actual consumption level. However, CBT also shows more variability in the selection decision than PMT even when alternative poverty definitions are used as robustness tests. The PMT method used in the pilot slightly outperforms other targeting methods (hybrid, alternative PMT, and universal targeting with equal budget), but errors remain high when selecting 35% of the population for program participation. The results suggest caution is needed in employing CBT methods to select households with low per capita consumption in an environment where poverty levels are high and administrative capacities are limited. CBT performance may be improved through more uniform and consistent guidance on program selection criteria and process, including explicit criteria that enable CBT monitoring, as well as a better integration between PMT and CBT.
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    Safety Nets in Africa : Effective Mechanisms to Reach the Poor and Most Vulnerable: Des méthodes efficaces pour cibler les populations pauvres et vulnérables en Afrique Sub-Saharienne
    (Washington, DC: World Bank; and Agence Française de Développement, 2015-01-29) del Ninno, Carlo ; Mills, Bradford ; del Ninno, Carlo ; Mills, Bradford
    The need for safety nets in Sub-Saharan Africa is vast. In addition to being the world’s poorest region, Sub-Saharan Africa is also one of the most unequal. In this context, redistribution must be seen as a legitimate way to fight poverty and ensure shared prosperity - and all the more so in countries where growth is driven by extractive industries that are not labor-intensive and often employ very few poor people. Given that most African countries face difficult decisions about how to allocate limited resources among a number of social programs, evidence is important. Do Safety Net programs actually benefit the poorest people? This book demonstrates with empirical evidence that it is possible to reach the poorest and most vulnerable people with safety net programs, and provides lessons for the effective use of targeting methods to achieve this outcome in the region.