Eva L. Vivalt
|Institution||Australian National University|
|Field||Developmental economics, Labor economics|
|Alma mater||Dartmouth College|
University of California, Berkeley
University of Oxford
Eva Love Vivalt is a Canadian economist. She is currently Wealth and Wellbeing Research Fellow and Lecturer at the Research School of Economics at the Australian National University and the founder of AidGrade, a research institute that generates and synthesizes evidence in international development.
Vivalt received a Ph.D. in Economics and an M.A. in Mathematics from the University of California, Berkeley, and an M.Phil. in Development Studies at the University of Oxford. Before joining ANU, she held positions at Stanford University, New York University and the World Bank.
Vivalt’s main research interests are the study of obstacles to evidence-based policy decisions. She also has interests in developmental economics, behavioral economics and effective altruism, and is a principal investigator on Y Combinator Research’s basic income study.
Vivalt is particularly well-known for her work on the external validity of impact evaluations. She found that most development interventions cannot be distinguished from one another in terms of the impacts that they have on a particular outcome and that effect sizes greatly vary within a particular intervention-outcome combination. Her work in this area has been cited by Angus Deaton and other leading economists and has entered the public discourse. She is also considered an expert on evidence aggregation and the use of Bayesian hierarchical models and is known for her work on metascience.
In 2019, together with Stefano DellaVigna and Devin Pope, Vivalt launched Social Science Prediction Platform, a tool that enables researchers to forecast the results of ongoing studies in the social sciences. Her research on impact evaluation has been covered by The Washington Post, Vox, The Atlantic, and other publications.
- "Eva Vivalt, Gabriel Carroll". The New York Times. 2019-08-25.
- "ANU College of Business & Economics". Retrieved 2019-07-01.
- "AidGrade". Retrieved 2019-07-01.
- "CV" (PDF). Retrieved 2019-07-01.
- "Y Combinator Research". Retrieved 2019-07-01.
- Vivalt, Eva (2015), "Heterogeneous Treatment Effects in Impact Evaluation", American Economic Review, 105 (5): 467–470, doi:10.1257/aer.p20151015
- Vivalt, Eva (2019), "How Much Can We Generalize from Impact Evaluations?", Journal of the European Economic Association
- Deaton, Angus; Cartwright, Nancy (August 2018), "Understanding and misunderstanding randomized controlled trials" (PDF), Social Science & Medicine, 210: 2–21, doi:10.1016/j.socscimed.2017.12.005, PMC 6019115, PMID 29331519
- Pritchett, Lant. "Is Your Impact Evaluation Asking Questions That Matter? A Four Part Smell Test". Retrieved 2019-07-05., Leigh, Andrew (2018). Randomistas: How Radical Researchers Are Changing Our World. New Haven: Yale University Press. ISBN 978-0300236125.
- "Evidence Aggregation and External Validity". Retrieved 2019-07-05.
- "Metascience 2019 Symposium". Retrieved 2019-07-05.
- DellaVigna, Stefano; Pope, Devin; Vivalt, Eva (25 Oct 2019), "Predict science to improve science", Science, 366: 428–429, doi:10.1126/science.aaz1704
- Matthews, Dylan (2013-12-26), "The Wonkblog Guide to Holiday Giving", The Washington Post, retrieved 2019-07-01
- Matthews, Dylan (2015-08-04), "Don't teach a man to fish. Just give him the goddamn fish", Vox, retrieved 2019-07-01
- Yong, Ed (2015-12-10), "Make Science More Reliable, Win Cash Prizes", The Atlantic, retrieved 2019-07-01
- "Members". Retrieved 14 October 2019.