Person: Premand, Patrick
Development Impact Evaluation Group, the World Bank
Loading...
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: June 28, 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.
6 results
Publication Search Results
Now showing 1 - 6 of 6
Publication Cote d'Ivoire Jobs Diagnostic: Employment, Productivity, and Inclusion for Poverty Reduction(World Bank, Washington, DC, 2017) Christiaensen, Luc; Premand, Patrick; Christiaensen, Luc; Premand, PatrickAfter 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 Poor Households' Productive Investments of Cash Transfers: Quasi-Experimental Evidence from Niger(World Bank, Washington, DC, 2016-09) Stoeffler, Quentin; Mills, Bradford; Premand, PatrickCash 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 Contemporaneous and Post-Program Impacts of a Public Works Program: Evidence from Côte d'Ivoire(World Bank, Washington, DC, 2017-05-23) Bertrand, Marianne; Crépon, Bruno; Marguerie, Alicia; Premand, PatrickPublic 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.Publication Creating New Positions? Direct and Indirect Effects of a Subsidized Apprenticeship Program(World Bank, Washington, DC, 2018-08) Crépon, Bruno; Premand, PatrickEvaluations of employment programs usually focus on direct impacts on participants. Yet employment programs can have a range of indirect effects that are rarely quantified. This paper analyzes the impact of a subsidized apprenticeship program offering dual on-the-job and theoretical training in Côte d'Ivoire. The experiment simultaneously randomized whether apprenticeship positions opened by firms were filled by the program, and whether interested youths were assigned to a formal apprenticeship. This design allows for estimating direct impacts on youths and indirect impacts on firms selected to host apprentices. The analysis identifies whether individuals forgo other employment or training opportunities, and whether firms replace other workers with program participants. The share of youths in apprenticeships increased by 52.8 percentage points. This estimate accounts for a significant windfall effect: 26 percent of the formal apprentices who were placed substituted out of traditional apprenticeships. The inflow of apprentices into firms increased significantly, but also induced substitution effects, as firms hired 0.23 fewer traditional apprentices per formal apprentice placed. Overall, the net number of apprenticeship positions created was between 51 and 74 percent of the number of formal apprentices placed. In the short term, impacts on earnings were not significant for youths, but firms benefited from an increase in the net value of work provided by apprentices.Publication Efficiency, Legitimacy and Impacts of Targeting Methods: Evidence from an Experiment in Niger(World Bank, Washington, DC, 2018-04-18) Schnitzer, Pascale; Premand, PatrickThe 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.Publication Social Accountability and Service Delivery: Experimental Evidence from Uganda(World Bank, Washington, DC, 2018-05) Fiala, Nathan; Premand, PatrickCorruption and mismanagement of public resources can affect the quality of government services and undermine growth. Can citizens in poor communities be empowered to demand better-quality public investments? This paper looks at whether providing social accountability training and information on project performance can lead to improvements in local development projects. It finds that offering communities a combination of training and information on project quality leads to significant improvements in household welfare. However, providing either social accountability training or project quality information by itself has no welfare effect. These results are concentrated in areas that are reported by local officials as more corrupt or mismanaged. The impacts appear to come from community members increasing their monitoring of local projects, making more complaints to local and central officials, and cooperating more. The paper also finds modest improvements in people's trust in the central government. The study is unique in its size and integration in a national program. The results suggest that government-led, large-scale social accountability programs can strengthen communities' ability to improve service delivery.