Cash transfer programs:
“The Causal Effects of Unconditional Cash Transfers: Experimental Evidence from Two U.S. States”, with Alex Bartik, David Broockman, Sarah Miller, and Elizabeth Rhodes
This is a large project in the U.S. that will test the impact of receiving $1,000/month, unconditionally, for 3 years. Outcomes covered (some of these may merge but they are currently envisaged as separate papers):
- Employment, work quality, and job search
- Time use
- Income, expenditures, and financial health
- Mental and physical health outcomes
- Cognitive outcomes
- Material wellbeing
- Subjective, psychological, and social wellbeing
- Political and social attitudes
- Children’s outcomes
- Intrahousehold outcomes and intimate partner violence
- Migration and housing outcomes
- Crime
“The Causal Effects of Unconditional Cash Transfers: Experimental Evidence from a Large U.S. City”, with Alex Bartik, Sarah Miller, and Elizabeth Rhodes
“The Causal Effects of Unconditional Cash Transfers: Experimental Evidence from a U.S. County”, with Alex Bartik, Sarah Miller, and Elizabeth Rhodes
“The Unclaimed Property Puzzle: Billion Dollar Bills Lying on the Sidewalk”
“A Review of Studies on Take-Up of Social Benefits”, proposal R&R at the Journal of Economic Literature
Improving evidence-based decision-making:
1. Forecasting:
Social Science Prediction Platform website
Golden, M., Scacco, A, Diaz-Cayeros, A., Dionne, K.Y., Humphreys, M., KC, S., Nazrullaeva, E., Slough, T., Vivalt, E., and Zhai, H. (2022). “Gathering, Evaluating, and Aggregating Social Scientific Models of COVID-19 Mortality”
DellaVigna, S., Otis, N. and Vivalt, E. (2020). “Forecasting the Results of Experiments: Piloting an Elicitation Strategy”, AEA Papers and Proceedings, 110(5): 75-79.
DellaVigna, S., Pope, D. and Vivalt, E. (2019). “Predict Science to Improve Science”, Science, 366(6464): 428-429.
Vivalt, E. (2020). “Using Priors in Experimental Design: How Much Are We Leaving on the Table?” in Bédécarrats F., I. Guérin, and F. Roubaud, eds., Randomized Control Trials in the Field of Development: The Gold Standard Revisited (pp. 293-303). London: Oxford University Press.
Media coverage of research on this theme:
- Ars Technica: “‘I Could’ve Told You That’ Might Have a Useful Role to Play in Science”
- Science Daily: “Were those experiment results really so predictable? These researchers aim to find out”
- Behavioral Scientist: “Solving the Problem of ‘Obviousness’ with Prediction Platforms”
Popular articles, podcasts, blog posts and talks:
- Hear This Idea: “Evidence-Based Policy and Forecasting Social Science”
- Toronto Data Workshop: Keynote presentation
- The Conversation: “Predicting Research Results Can Mean Better Science and Better Advice”
2. Evidence-to-policy pipeline:
Vivalt, E. and Coville, A. (2022). “How Do Policymakers Update Their Beliefs?”, R&R, Journal of Development Economics
Vivalt, E., Coville, A. and KC, S. (2022). “Weighing the Evidence: Which Studies Count?”
Online appendix: Forecasting survey on the Social Science Prediction Platform (with .qsf file)
Vivalt, E. and Coville, A. (2021). “Policymakers Consistently Overestimate Program Impacts”
3. Meta-research:
Vivalt, E. (2020). “How Much Can We Generalize from Impact Evaluations?”, Journal of the European Economics Association, 18(6): 3045–3089. Online Appendices, Presentation, Teaching Slides
Vivalt, E. (2019). “Specification Searching and Significance Inflation Across Time, Methods and Disciplines”, Oxford Bulletin of Economics and Statistics, 81(4): 797–816.
Vivalt, E. (2015). “Heterogeneous Treatment Effects in Impact Evaluation”, American Economic Review, Papers and Proceedings, 105(5): 467–470.
Media coverage of research on this theme:
- The Atlantic: “Make Science More Reliable, Win Cash Prizes”
- Vox: “Don’t teach a man to fish. Just give him the goddamn fish”
- The Washington Post: “The Wonkblog Guide to Holiday Giving”
- Mother Jones: “Most Studies of Social Interventions Are Pretty Worthless”
- Lant Pritchett’s mini-series for the Center for Global Development: “Is Your Impact Evaluation Asking Questions That Matter? A Four Part Smell Test”
- Marginal Revolution: “Everyone in development economics should read this paper”
- 3ie’s blog: “Trends in impact evaluation: Did we ever learn?”
Popular articles, podcasts, blog posts and talks:
- Harvard Business Review: “How to Be a Smart Consumer of Social Science Research”
- 80,000 Hours podcast: “Dr Eva Vivalt’s research suggests social science findings don’t generalize. So evidence-based development – what is it good for?”
- Centre for the Study of African Economies (CSAE) Conference 2018, Closing plenary: “Limits to evidence-based interventions for development”
- Effective Altruism Global: Global Poverty talk
- The Inter-American Development Bank’s blog: “How much do impact evaluations (really) help policymaking?”
- The NYU Development Research Institute’s blog: “5 ways to improve your impact evaluation”
- The World Bank’s Development Impact blog: “What do 600 papers on 20 types of interventions tell us about how much impact evaluations generalize?” and “What isn’t reported in impact evaluations?”
Moral values and norms:
“The Shape of Moral Values”, with Emiliano Huet-Vaughn, Minh Pham, and Josh TasoffChow, V. and Vivalt, E. (2022). “Challenges in Changing Social Norms: Evidence from Interventions Targeting Child Marriage in Ethiopia.” Journal of African Economies, 31(3): 183-210.