| Balancing, regression, difference-in-differences and synthetic control methods: A synthesis N Doudchenko, GW Imbens National Bureau of Economic Research, 2016 | 747 | 2016 |
| Matrix completion methods for causal panel data models S Athey, M Bayati, N Doudchenko, G Imbens, K Khosravi Journal of the American Statistical Association, 1-41, 2021 | 710 | 2021 |
| Causal inference with bipartite designs N Doudchenko, M Zhang, E Drynkin, E Airoldi, V Mirrokni, ... arXiv preprint arXiv:2010.02108, 2020 | 22 | 2020 |
| Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls N Doudchenko, K Khosravi, J Pouget-Abadie, S Lahaie, M Lubin, ... Advances in Neural Information Processing Systems 34, 2021 | 17 | 2021 |
| Designing experiments with synthetic controls N Doudchenko, D Gilinson, S Taylor, N Wernerfelt Working paper, 2019 | 12 | 2019 |
| Size Effects and Bargaining Power in the Multichannel Television Industry N Doudchenko, A Yurukoglu Working Paper, 2016 | 9 | 2016 |
| Micro-level Discrete Choice Demand Estimation: A Machine Learning Approach N Doudchenko, E Drynkin | | 2019 |
guido imbensStanford UniversityVerified email at stanford.edu