- [wp7] Viviano, Davide, Kaspar Wüthrich and Paul Niehaus. (When) should you adjust inferences for multiple hypothesis testing? (Apr, 2021)
- [wp6] Viviano, Davide and Jelena Bradic. Dynamic covariate balancing: estimating treatment effects over time (June, 2021), submitted
- [wp5] Viviano, Davide. Policy choice in experiments with unknown interference (June, 2021)
- [wp3] Viviano, Davide. Experimental Design on Networks (June, 2020)
- [wp2] Viviano, Davide. Policy Targeting under Network Interference (June, 2021), submitted
[arXiv] (alphabetical first author ordering)
[arXiv] | Slides | Replication code | Software
How can we balance covariates to estimate the effects of treatment histories in high-dimensions?
Presented at Causal Inference Symposium (Pardee RAND)
Draft | [arXiv]
Can we improve baseline decisions? If yes, how can we efficiently learn policies through sequential experimentation?
Presented at NYU Quantitative Methods Workshop
If the goal is inference on treatment and spillover effects, what is the optimal design of two-wave experiments under interference?
Draft | Slides | [arXiv] | Replication code
How can we construct targeted treatments using data from an experiment or quasi-experiment in the presence of spillovers?
Presented at 2021 North American Econometric Society Summer Meeting, 6th Annual Conference of Network Science and Economics, ASSA 2021 (online), Young Economists Symposium (UPenn, online), Econometric Society World Congress 2020 (Bocconi, online), Causal Learning with Interactions (UCL), EGSR Conference 2019 (Un. of Washington in St. Louis)
- [wp4] Viviano, Davide and Jelena Bradic. Fair Policy Targeting (May, 2021), reject and resubmit at the Journal of the American Statistical Association
[arXiv] | Replication code
How can we design treatment allocation rules that are fair and Pareto optimal in social welfare programs?
Presented at EGSR Conference 2020 (Un. of Washington in St. Louis)
- [wp1] Viviano, Davide and Jelena Bradic. Synthetic Learner: Model-free Inference on Treatments over Time (November, 2020), Revise and Resubmit at the Journal of Econometrics
Draft | Supplement | [arXiv] | Replication code
How can researchers estimate and test for treatment effects over time using flexible, possibly non-parametric methods?
AwardsWalter Heller Memorial Prize (Best 3rd Year Paper), Economics UCSD
Clive Granger Research Scholarship, Economics UCSD
HPC at UC Award, San Diego Super Computer Center