A more credible approach to parallel trends A Rambachan, J Roth Review of Economic Studies 90 (5), 2555-2591, 2023 | 622* | 2023 |
Algorithmic fairness J Kleinberg, J Ludwig, S Mullainathan, A Rambachan Aea papers and proceedings 108, 22-27, 2018 | 439 | 2018 |
An economic perspective on algorithmic fairness A Rambachan, J Kleinberg, J Ludwig, S Mullainathan AEA Papers and Proceedings 110, 91-95, 2020 | 77 | 2020 |
Characterizing fairness over the set of good models under selective labels A Coston, A Rambachan, A Chouldechova International Conference on Machine Learning, 2144-2155, 2021 | 73 | 2021 |
Panel experiments and dynamic causal effects: A finite population perspective I Bojinov, A Rambachan, N Shephard Quantitative Economics 12 (4), 1171-1196, 2021 | 67 | 2021 |
An economic approach to regulating algorithms A Rambachan, J Kleinberg, S Mullainathan, J Ludwig National Bureau of Economic Research, 2020 | 58 | 2020 |
Bias in, bias out? Evaluating the folk wisdom A Rambachan, J Roth arXiv preprint arXiv:1909.08518, 2019 | 49 | 2019 |
Identifying prediction mistakes in observational data A Rambachan Harvard University, 2021 | 46 | 2021 |
When do common time series estimands have nonparametric causal meaning? A Rambachan, N Shephard URL: https://scholar. harvard. edu/shephard/publications/nonparametric …, 2021 | 43* | 2021 |
Design-based uncertainty for quasi-experiments A Rambachan, J Roth arXiv preprint arXiv:2008.00602, 2020 | 30 | 2020 |
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding A Rambachan, A Coston, E Kennedy arXiv preprint arXiv:2212.09844, 2022 | 13* | 2022 |
From predictive algorithms to automatic generation of anomalies S Mullainathan, A Rambachan arXiv preprint arXiv:2404.10111, 2024 | 2 | 2024 |
Causal Interpretation of Structural IV Estimands I Andrews, N Barahona, M Gentzkow, A Rambachan, JM Shapiro National Bureau of Economic Research, 2023 | 2 | 2023 |
The Unreasonable Effectiveness of Algorithms J Ludwig, S Mullainathan, A Rambachan National Bureau of Economic Research, 2024 | 1 | 2024 |