Research Resources

Our library of practical resources is available for researchers undertaking randomized evaluations and those teaching the technique to others. The resources presented here are curated by J-PAL in partnership with Innovations for Poverty Action (IPA).

Guide: Reforming School Monitoring

This case study is based on the J-PAL Study “Primary Education Management in Madagascar” by Esther Duflo, Gerard Lassibille, and Trang van Nguyen.

Case Study: Flipcharts & classroom inputs in Kenyan schools

This case study is based on “Retrospective vs. Prospective Analyses of School Inputs: The Case of Flip Charts in Kenya,” (by Paul Glewwe, Sylvie Moulin and Eric Zitzewitz), Journal of Development Economics. (NBER Working Paper 8018, 2000)

Case Study: Get out the vote

This case study is based on “Comparing Experimental and Matching Methods Using a Large-Scale Field Experiment on Voter Mobilization,” by Kevin Arceneaux, Alan S. Gerber, and Donald P. Green, Political Analysis 14: 1-36.

Guide: Get out the vote

This guide is based on “Comparing Experimental and Matching Methods Using a Large-Scale Field Experiment on Voter Mobilization,” by Kevin Arceneaux, Alan S. Gerber, and Donald P. Green, Political Analysis 14: 1-36.

Case Study: Remedial education in India

This case study is based on “Remedying Education: Evidence from Two Randomized Experiments in India” (by Abhijit Banerjee, Shawn Cole, Esther Duflo, and Leigh Linden) (Poverty Action Lab Working Paper, 2004)

Case Study: Extra teacher program

This case study is based on the paper “Peer Effects and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya,” by Esther Duflo (MIT), Pascaline Dupas (UCLA), and Michael Kremer (Harvard)

Case Study: Counseling the Unemployed

This case study is based on “Sample Attrition Bias in Randomized Experiments: A Tale of Two Surveys ” By Luc Behaghel, Bruno Crépon, Marc Gurgand, Thomas Le Barbanchon, Paris-Jourdan Sciences Economiques, Version 1, 2011

Guide: Counseling the Unemployed

This case study is based on “Sample Attrition Bias in Randomized Experiments: A Tale of Two Surveys ” By Luc Behaghel, Bruno Crépon, Marc Gurgand, Thomas Le Barbanchon, Paris-Jourdan Sciences Economiques, Version 1, 2011