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AidGrade: How much can we generalize from impact evaluation results?

Dr. Vivalt's latest research provides the first estimates of how much one can generalize from impact evaluations across a wide variety of interventions in development. Results from impact evaluations on similar interventions have significant predictive power for studies done in different contexts; however, government-executed programs fare worse and are not well-predicted, suggesting problems for scale-up. Contrary to findings in other disciplines, impact evaluations in development economics do not appear to suffer from much manipulation (e.g. publication bias).

Dr. Vivalt will also discuss AidGrade's work, organizational goals, and less technical findings. If you're interested in an internship or full-time work, please do come!


Eva Vivalt is a post-doctoral fellow at New York University. She has a Ph.D. in Economics and an M.A. in Mathematics from the University of California, Berkeley and spent two years as a Young Professional at the World Bank, where she worked in the Development Economics Research Group. Eva completed an M.Phil. in Development Studies at Oxford University on a Commonwealth Scholarship after obtaining her A.B. from Dartmouth College. She previously worked as a consultant in the World Bank’s Development Economics Research Group and has extensive experience with international development, including field experience, through work with the UN Development Program, Oxford Development Abroad, and numerous other charity groups.