J-PAL Africa, which is based at the University of Cape Town, supports researchers running randomized evaluations in Africa, conducts trainings to build capacity in understanding and running randomized evaluations, and works with policymakers to help them leverage rigorous evidence to make policies more effective and scale up the most promising programs.
Leonard Wantchekon (Princeton) is working on an ongoing randomized evaluation in Benin on the impacts of supplementary math teachers, funded by J-PAL’s Post-Primary Education Initiative. “We hope that this program will inspire parents to invest more in their daughters’ education, and that girls learn the cognitive and non-cognitive skills needed to cope with adolescence and do well in math.”
MIT News covers J-PAL leadership's paper "The Generalizability Paper," which sets out a framework for bringing a successful program to scale in a new setting.
The latest J-PAL Bulletin analyzes results from three randomized evaluations of cognitive behavioral therapy (CBT) programs in the United States and Liberia. Researchers found that CBT helped young men become more focused on the future, reducing criminal and violent behavior and increasing graduation rates when delivered in school.
GiveDirectly has expanded its cash transfer program, which was found in a randomized evaluation to have improved economic and psychological well-being in Kenya, to reach over 60,000 households in rural Kenya, Rwanda, and Uganda since 2013.
There are 260 ongoing and completed randomized evaluations in 28 countries in Africa.
Important story from @politico @brunodebbie...
What can machine learning tell us about income inequality? Find out Thurs 9/28 w/ @ChicagoBooth's Marianne Bertrand: https://t.co/...
"Having good intentions doesn’t always mean you're doing good." An interview with J-PAL Exec Director @RunningREs: https://t.co/...
Join our team! J-PAL's South Asia office is hiring a Policy & Training Manager: https://t.co/hkI1mfTLl3 @JPAL_SA
Our education team is at #UNGA2017 making a case for better use of...
- Abdul Latif Jameel Poverty Action Lab (J-PAL) shared their event. What can a machine learning algorithm tell us about income inequality? Find out next Thursday - online or in person at MIT! 4 hours 7 min ago.
- "Having good intentions doesn’t always mean you're doing good." An interview with J-PAL Executive Director Rachel Glennerster: https://thepractice.law.harvard.edu/article/lessons-poverty-action-lab/ 19 hours 54 min ago.
- Our newest free open online course, Measuring Health Outcomes in Field Surveys, starts this week! Learn the basics of impact evaluation in the health sector, following our instructors as they travel to India and Kenya to gather data and interview project participants. Don't miss out - enroll now: https://www.edx.org/course/measuring-health-outcomes-field-surveys-mitx-jpal350x-0 3 days 2 hours ago.
- Did you miss our September eNews? Read it here: https://j-p.al/2h4Kz8l (& sign up at https://www.povertyactionlab.org/subscribe)! 1 week 1 hour ago.
- Attention Spanish-speaking followers: Interested in staying up to date on the latest trends in impact evaluation for public policy? Registration has opened for our new in-person Advanced Course on Experimental and Quasi-Experimental Methods. The course will take place in Buenos Aires, Argentina from November 21-24, 2017. To register and learn more, visit: https://j-p.al/2xBAb2F. 1 week 1 day ago.