Policy targeting under network interference D Viviano Review of Economic Studies, rdae041, 2024 | 40 | 2024 |
Experimental Design under Network Interference D Viviano arXiv preprint arXiv:2003.08421, 2020 | 35 | 2020 |
Fair policy targeting D Viviano, J Bradic Journal of the American Statistical Association 119 (545), 730-743, 2024 | 26 | 2024 |
Synthetic learner: model-free inference on treatments over time D Viviano, J Bradic Journal of Econometrics 234 (2), 691-713, 2023 | 24 | 2023 |
Policy design in experiments with unknown interference D Viviano arXiv preprint arXiv:2011.08174, 2020 | 16 | 2020 |
Dynamic covariate balancing: estimating treatment effects over time D Viviano, J Bradic arXiv preprint arXiv:2103.01280, 2021 | 14 | 2021 |
(When) should you adjust inferences for multiple hypothesis testing? D Viviano, K Wuthrich, P Niehaus arXiv preprint arXiv:2104.13367, 2021 | 5 | 2021 |
Identification and Inference for Synthetic Controls with Confounding GW Imbens, D Viviano arXiv preprint arXiv:2312.00955, 2023 | 4 | 2023 |
Causal clustering: design of cluster experiments under network interference D Viviano, L Lei, G Imbens, B Karrer, O Schrijvers, L Shi arXiv preprint arXiv:2310.14983, 2023 | 3 | 2023 |
Comment on “Multiple Endpoints in Clinical Trials: Guidance for Industry” P Niehaus, D Viviano, GSB Stanford, K Wüthrich | | 2022 |
Essays in Policy Design and Statistical Inference D Viviano UC San Diego, 2022 | | 2022 |