Person:
Premand, Patrick

Development Impact Evaluation Group, the World Bank
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Social protection, Safety nets, Employment, Skills, Early childhood development, Impact evaluation, Development economics
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Development Impact Evaluation Group, the World Bank
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Last updated: January 4, 2024
Biography
Patrick Premand is a Senior Economist in the Development Impact Evaluation Group (DIME) in the research Vice-Presidency at the World Bank. He works on Social Protection and Safety Nets; Jobs, Economic Inclusion and Entrepreneurship; and Early Childhood Development. He conducts impact evaluations and policy experiments of social protection, jobs and human development programs. He often works on government-led interventions implemented at scale, in close collaboration with policymakers and researchers. He has led policy dialogue and technical assistance activities, as well as worked on the design, implementation and management of a range of World Bank operations. He previously held various positions at the World Bank, including in the Social Protection & Jobs group in Africa, the Human Development Economics Unit of the Africa region, the Office of the Chief Economist for Human Development, and the Poverty Unit of the Latin America and Caribbean region. He holds a DPhil in Economics from Oxford University.
Citations 134 Scopus

Publication Search Results

Now showing 1 - 4 of 4
  • Publication
    Do Cash Transfers Foster Resilience? Evidence from Rural Niger
    (World Bank, Washington, DC, 2020-11) Stoeffler, Quentin; Premand, Patrick
    Policy makers are increasingly interested in strategies to promote resilience and mitigate the effects of future climatic shocks. Cash transfer programs have had widely documented positive welfare impacts. They often also aim to offer protection against shocks, but their role in fostering resilience has been less studied. This paper assesses whether the beneficiaries of a multiyear government cash transfer program in rural Niger are better able to mitigate the welfare effects of drought shocks. It analyzes mechanisms through which cash transfers contribute to resilience, such as savings facilitation, asset accumulation, or income smoothing in agriculture and off-farm activities. It combines household survey data collected as part of a randomized control trial with satellite data used to identify exogenous rainfall shocks. The results show that cash transfers increase household consumption by about 10 percent on average. Importantly, this increase is mostly concentrated among households affected by drought shocks, for whom welfare impacts are larger than transfer amounts. Cash transfers increase savings. They also help households protect earnings in agriculture and off-farm businesses when shocks occur. Few differences in household durables or livestock are observed. Overall, these findings suggest that cash transfer programs targeting poor households can foster resilience by facilitating savings and income smoothing.
  • Publication
    Efficiency, Legitimacy, and Impacts of Targeting Methods: Evidence from an Experiment in Niger
    (Published by Oxford University Press on behalf of the World Bank, 2020-09-08) Premand, Patrick
    The methods to select safety net beneficiaries are the subject of frequent debates. Targeting assessments usually focus on efficiency by documenting the pre-program profile of selected beneficiaries. This study provides a more comprehensive analysis of targeting performance through an experiment embedded in a national cash transfer program in Niger. Eligible villages were randomly assigned to have beneficiary households selected by community-based targeting (CBT), proxy-means testing (PMT), or a formula to identify the food-insecure (FCS). The study considers targeting legitimacy and the impact of targeting choice on program effectiveness based on data collected after program roll-out. PMT is more efficient in identifying households with lower consumption per capita. Nonbeneficiaries find formula-based methods (PMT and FCS) more legitimate than CBT. Manipulation and information imperfections affect CBT, which can explain why it is not the most legitimate. Program impacts on some welfare dimensions are larger among households selected by PMT than CBT.
  • Publication
    Poor Households' Productive Investments of Cash Transfers: Quasi-Experimental Evidence from Niger
    (World Bank, Washington, DC, 2016-09) Stoeffler, Quentin; Mills, Bradford; Premand, Patrick
    Cash transfer programs have spread rapidly as an instrument to raise household consumption and reduce poverty. Questions remain about the sustainability of cash transfer impacts in low-income settings such as Sub-Saharan Africa and, in particular, on whether cash transfers can foster productive investments in addition to raising immediate consumption among the very poor. This paper presents evidence that a cash transfer project in rural Niger induced investments in assets and productive activities that were sustained among the very poor 18 months after project completion. Results show lasting increases in livestock assets and participation in saving groups (tontines). Cash transfers also contributed to improved agricultural productivity, but no effects in terms of diversification of other household enterprises are found. Productive asset gains are, notably, largest among the poorest of the poor, suggesting that small regular cash transfers combined with enhanced saving mechanisms can relax constraints to asset accumulation among the extreme poor.
  • Publication
    Efficiency, Legitimacy and Impacts of Targeting Methods: Evidence from an Experiment in Niger
    (World Bank, Washington, DC, 2018-04-18) Schnitzer, Pascale; Premand, Patrick
    The methods to select safety net beneficiaries are the subject of frequent policy debates. This paper presents the results from a randomized experiment analyzing how efficiency, legitimacy, and short-term program effectiveness vary across widely used targeting methods. The experiment was embedded in the roll-out of a national cash transfer program in Niger. Eligible villages were randomly assigned to have beneficiary households selected through community-based targeting, a proxy-means test, or a formula designed to identify the food-insecure. Proxy-means testing is found to outperform other methods in identifying households with lower consumption per capita. The methods perform similarly against other welfare benchmarks. Legitimacy is high across all methods, but local populations have a slight preference for formula-based approaches. Manipulation and information imperfections are found to affect community-based targeting, although triangulation across multiple selection committees mitigates the related risks. Finally, short-term program impacts on food security are largest among households selected by proxy-means testing. Overall, the differences in performance across targeting methods are small relative to the overall level of exclusion stemming from limited funding for social programs.