Person:
Premand, Patrick
Author Name Variants
Fields of Specialization
Social protection,
Safety nets,
Employment,
Skills,
Early childhood development,
Impact evaluation,
Development economics
Degrees
ORCID
External Links
Departments
Development Impact Evaluation Group, the World Bank
Externally Hosted Work
Contact Information
Last updated
January 31, 2023
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.
Publication Search Results
1 - 4 of 4
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Publication
Poor Households' Productive Investments of Cash Transfers: Quasi-Experimental Evidence from Niger
(World Bank, Washington, DC, 2016-09)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
Constraints to Productive Employment Faced by Safety Nets Beneficiaries in the Sahel: Results of a Multi-Country Qualitative Assessment
(World Bank, Washington, DC, 2020-01)In the Sahel subregion, which extends over Central and Western Africa, low labor productivity poses a challenge to poverty reduction, economic growth, and social stability. Social Safety Net Projects target the poorest households who derive their livelihoods from low-productivity activities. As such, they have the potential to improve labor productivity. As part of the Sahel adaptive social protection program (ASPP), the World Bank supports the design and implementation of productive accompanying measures for safety nets beneficiaries. This report sets out the results of a qualitative assessment of the constraints to productive employment that was conducted in the Social Safety Net Project areas, across five of the six countries covered by the ASPP: Burkina Faso, Mali, Niger, Senegal, and Chad. This assessment identified the main challenges to productivity growth in farm and nonfarm sectors and, jointly with other surveys and local and regional consultations, helped define accompanying measures to safety nets programs aimed at increasing current employment productivity and generating more productive jobs. -
Publication
Cote d'Ivoire Jobs Diagnostic: Employment, Productivity, and Inclusion for Poverty Reduction
(World Bank, Washington, DC, 2017)After a decade of crisis and stellar economic growth over the past five years, Côte d’Ivoire has now set its sight on becoming an emerging economy. Improving prospects for productive employment will be essential for socially sustainable growth and poverty reduction. The "Cote d'Ivoire Jobs Diagnostic: Employment, Productivity, and Inclusion for Poverty Reduction" report provides a comprehensive and multi-sectoral empirical analysis of employment challenges and opportunities to inform strategies and policy actions in Côte d’Ivoire. The report aims to expand policy discussions on employment from a focus on the number of jobs and unemployment to a broader attention on the quality, productivity and inclusiveness of jobs. It makes the case for a jobs strategy with a sharper poverty lens that would focus on raising labor productivity in agriculture and informal off-farm employment to foster structural transformation, while, in parallel, pursuing longer-term goals of expanding the thin formal sector. -
Publication
Contemporaneous and Post-Program Impacts of a Public Works Program: Evidence from Côte d'Ivoire
(World Bank, Washington, DC, 2017-05-23)Public works are one of the most popular safety net and employment policy instruments in thedeveloping world, despite limited evidence on their effectiveness and optimal design features.This paper presents results on contemporaneous and post-program impacts from a public worksintervention in Côte d'Ivoire. The program provided 7 months of temporary employment inroad maintenance to urban youths. Participants self-selected to apply for the public works jobs,which paid the formal minimum wage and were randomized among applicants. Randomizedsub-sets of beneficiaries also received complementary training on basic entrepreneurship or jobsearch skills. During the program, results show limited contemporaneous impacts of publicworks on the level of employment, but a shift in the composition of employment towards thebetter-paid public works wage jobs. A year after the end of the program, there are no lastingimpacts on the level or composition of employment, although positive impacts are observed onearnings through higher productivity in non-agricultural self-employment. Large heterogeneityin impacts are found, particularly during the program. Results from machine learningtechniques suggest potential trade-offs between maximizing contemporaneous and postprogramimpacts. Traditional heterogeneity analysis shows that a range of practical targetingmechanisms perform as well as the machine learning benchmark, leading to strongercontemporaneous and post-program benefits without sharp trade-offs. Overall, departing fromself-targeting based on the formal minimum wage would lead to strong improvements inprogram cost-effectiveness.