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Research

Cash transfer programs:

Working papers:

Vivalt, E., Rhodes, E., Bartik, A., Broockman, D., and Miller, S. (2024). “The Employment Effects of a Guaranteed Income: Experimental Evidence from Two U.S. States”

Bartik, A., Rhodes, E., Broockman, D., Miller, S., and Vivalt, E. (2024). “What Can Money Buy? Experimental Evidence on the Effects of a Large Cash Transfer on Consumption, Financial Outcomes, and Well-Being”

Miller, S., Rhodes, E., Bartik, A., Broockman, D., Krause, P., and Vivalt, E. (2024). “Does Income Affect Health? Evidence from a Randomized Controlled Trial of a Guaranteed Income”

Vivalt, E. (2024). “The Unclaimed Property Puzzle: Billion Dollar Bills Lying on the Sidewalk”

In progress:

“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 Nour Abdul-Razzak, Alex Bartik, Sarah Miller, and Elizabeth Rhodes


Improving evidence-based decision-making:

1. Evidence-to-policy pipeline:

Vivalt, E., Coville, A. and KC, S. (2024). “Local Knowledge, Formal Evidence, and Policy Decisions”, revise and resubmit at the Journal of Development Economics.

Vivalt, E. and Coville, A. (2023). “How Do Policymakers Update Their Beliefs?”, Journal of Development Economics, 165: 103121.

Vivalt, E., Coville, A. and KC, S. (2023). “Seeking Evidence: Which Studies Do Policymakers Prefer?”

Vivalt, E. and Coville, A. (2021). “Policymakers Consistently Overestimate Program Impacts”

Media coverage of research on this theme:


2. Forecasting:

Social Science Prediction Platform website

Golden, M., Scacco, A, Zhai, H., Slough, T., Humphreys, M., Vivalt, E., Diaz-Cayeros, A., Dionne, K.Y., KC, S., Nazrullaeva, E., et al. (2023). “Gathering, Evaluating, and Aggregating Social Scientific Models of COVID-19 Mortality”, revise and resubmit at Political Analysis.

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:

Popular articles, podcasts, blog posts and talks:


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.

AidGrade’s site

Media coverage of research on this theme:

Popular articles, podcasts, blog posts and talks:


Moral values and norms:

Huet-Vaughn, E., Pham, M., Tasoff, J., and Vivalt, E. (2024). “The Shape of Moral Values”

Chow, 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.


Other papers