The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a global research center working to reduce poverty by ensuring that policy is informed by scientific evidence. Anchored by a network of more than 1,000 researchers at universities around the world, J-PAL conducts randomized impact evaluations to answer critical questions in the fight against poverty.
The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a global research center working to reduce poverty by ensuring that policy is informed by scientific evidence. Anchored by a network of more than 1,000 researchers at universities around the world, J-PAL conducts randomized impact evaluations to answer critical questions in the fight against poverty.
Our affiliated professors are based at over 120 universities and conduct randomized evaluations around the world to design, evaluate, and improve programs and policies aimed at reducing poverty. They set their own research agendas, raise funds to support their evaluations, and work with J-PAL staff on research, policy outreach, and training.
Our Board of Directors, which is composed of J-PAL affiliated professors and senior management, provides overall strategic guidance to J-PAL, our sector programs, and regional offices.
J-PAL recognizes that there is a lack of diversity, equity, and inclusion in the field of economics and in our field of work. Read about what actions we are taking to address this.
We host events around the world and online to share results and policy lessons from randomized evaluations, to build new partnerships between researchers and practitioners, and to train organizations on how to design and conduct randomized evaluations, and use evidence from impact evaluations.
Browse news articles about J-PAL and our affiliated professors, read our press releases and monthly global and research newsletters, and connect with us for media inquiries.
Based at leading universities around the world, our experts are economists who use randomized evaluations to answer critical questions in the fight against poverty. Connect with us for all media inquiries and we'll help you find the right person to shed insight on your story.
J-PAL is based at MIT in Cambridge, MA and has seven regional offices at leading universities in Africa, Europe, Latin America and the Caribbean, Middle East and North Africa, North America, South Asia, and Southeast Asia.
J-PAL is based at MIT in Cambridge, MA and has seven regional offices at leading universities in Africa, Europe, Latin America and the Caribbean, Middle East and North Africa, North America, South Asia, and Southeast Asia.
Our global office is based at the Department of Economics at the Massachusetts Institute of Technology. It serves as the head office for our network of seven independent regional offices.
Led by affiliated professors, J-PAL sectors guide our research and policy work by conducting literature reviews; by managing research initiatives that promote the rigorous evaluation of innovative interventions by affiliates; and by summarizing findings and lessons from randomized evaluations and producing cost-effectiveness analyses to help inform relevant policy debates.
Led by affiliated professors, J-PAL sectors guide our research and policy work by conducting literature reviews; by managing research initiatives that promote the rigorous evaluation of innovative interventions by affiliates; and by summarizing findings and lessons from randomized evaluations and producing cost-effectiveness analyses to help inform relevant policy debates.
How do policies affecting private sector firms impact productivity gaps between higher-income and lower-income countries? How do firms’ own policies impact economic growth and worker welfare?
How can we identify effective policies and programs in low- and middle-income countries that provide financial assistance to low-income families, insuring against shocks and breaking poverty traps?
Browse news articles about J-PAL and our affiliated professors, and read our press releases and monthly global and research newsletters. For media inquiries, please email us.
In China, students in districts with average incomes that are below the national average achieve lower levels of learning compared students in wealthier districts. Researchers introduced a computer-assisted learning program (CAL) to classrooms in Shaanxi Province to evaluate its impact on math test...
In partnership with Melchia Investments, a private Ghanaian technology company, researchers are conducting a pilot randomized evaluation to identify the effectiveness of a new tax collection technology in increasing property tax revenues for local governments.
In Niger, researchers evaluated the impact of a training program for input distributors (agro-dealers) on smallholder access to and use of agricultural inputs. Researchers found that trainings for agro-dealers combined with a demonstration plot increased the share of farmers adopting improved seeds...
Researchers evaluated the spillover effects of a nationwide Medicare bundled payment reform on privately insured Medicare Advantage (MA) patients who were not targeted by the reform. They found that the bundled payment reform’s spillover effect on non-targeted MA patients was similar to the bundled...
In Argentina, a researcher evaluated whether informing students of their potential could be a cost-effective way to increase motivation and improve educational outcomes among secondary school students. They found that the intervention did not impact students’ perceptions of the difficulty of school...
Researchers are conducting a randomized evaluation to test whether providing traders “bonuses” for high-quality coffee affects the prices traders offer farmers for their coffee and whether this, in turn, affects farmers’ incentives to invest in the quality of their production.
Researchers evaluated the impact of practicing sustained cognitive activity on cognitive endurance and school performance in Lucknow, India. Students that spent additional time engaging in sustained cognitive effort received higher grades in all of their classes, improved their performance on tests...