| Synthetic difference-in-differences D Arkhangelsky, S Athey, DA Hirshberg, GW Imbens, S Wager American Economic Review 111 (12), 4088-4118, 2021 | 1269 | 2021 |
| Doubly robust identification for causal panel data models D Arkhangelsky, GW Imbens The Econometrics Journal 25 (3), 649-674, 2022 | 62 | 2022 |
| Fixed effects and the generalized Mundlak estimator D Arkhangelsky, GW Imbens Review of Economic Studies 91 (5), 2545-2571, 2024 | 56* | 2024 |
| Causal models for longitudinal and panel data: A survey D Arkhangelsky, G Imbens The Econometrics Journal 27 (3), C1-C61, 2024 | 39 | 2024 |
| Design‐robust two‐way‐fixed‐effects regression for panel data D Arkhangelsky, GW Imbens, L Lei, X Luo Quantitative Economics 15 (4), 999-1034, 2024 | 36* | 2024 |
| Large-sample properties of the synthetic control method under selection on unobservables D Arkhangelsky, D Hirshberg arXiv preprint arXiv:2311.13575, 2023 | 14 | 2023 |
| On Policy Evaluation With Aggregate Time-Series Instruments D Arkhangelsky, V Korovkin CEPR Discussion Papers, 2024 | 6* | 2024 |
| Dealing with a technological bias: The difference-in-difference approach D Arkhangelsky Centro de Estudios Monetarios y Financieros, 2019 | 5 | 2019 |
| On evaluation of CTRs of different positions in sponsored search auctions D Arkhangelsky, S Izmalkov, D Khakimova 14th ACM Conference on Electronic Commerce, poster, 2013 | 4 | 2013 |
| Sequential synthetic difference in differences D Arkhangelsky, A Samkov arXiv preprint arXiv:2404.00164, 2024 | 3 | 2024 |
| Using Event Studies as an Outcome in Causal Analysis D Arkhangelsky, K Yanagimoto, T Zohar arXiv preprint arXiv:2403.19563, 2024 | 3* | 2024 |
| Estimation of Causal Effects from Observational Study of Job Training Program D Arkhangelsky, R Donnelly | | |
| Market for Sponsored Links: Mechanism Design Approach DI Arkhangelsky, SB Izmalkov | | |
guido imbensStanford UniversityZweryfikowany adres z stanford.edu