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Ashesh Rambachan
Ashesh Rambachan
Assistant Professor of Economics, Massachusetts Institute of Technology
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
A more credible approach to parallel trends
A Rambachan, J Roth
Review of Economic Studies 90 (5), 2555-2591, 2023
936*2023
Algorithmic fairness
J Kleinberg, J Ludwig, S Mullainathan, A Rambachan
Aea papers and proceedings 108, 22-27, 2018
5032018
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
872021
An economic perspective on algorithmic fairness
A Rambachan, J Kleinberg, J Ludwig, S Mullainathan
AEA Papers and Proceedings 110, 91-95, 2020
862020
Panel experiments and dynamic causal effects: A finite population perspective
I Bojinov, A Rambachan, N Shephard
Quantitative Economics 12 (4), 1171-1196, 2021
812021
An economic approach to regulating algorithms
A Rambachan, J Kleinberg, S Mullainathan, J Ludwig
National Bureau of Economic Research, 2020
742020
Bias in, bias out? Evaluating the folk wisdom
A Rambachan, J Roth
arXiv preprint arXiv:1909.08518, 2019
582019
Identifying prediction mistakes in observational data
A Rambachan
The Quarterly Journal of Economics, qjae013, 2024
562024
When do common time series estimands have nonparametric causal meaning?
A Rambachan, N Shephard
URL: https://scholar. harvard. edu/shephard/publications/nonparametric …, 2021
51*2021
Design-based uncertainty for quasi-experiments
A Rambachan, J Roth
arXiv preprint arXiv:2008.00602, 2020
412020
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
A Rambachan, A Coston, E Kennedy
arXiv preprint arXiv:2212.09844, 2022
17*2022
From predictive algorithms to automatic generation of anomalies
S Mullainathan, A Rambachan
National Bureau of Economic Research, 2024
142024
Evaluating the World Model Implicit in a Generative Model
K Vafa, JY Chen, J Kleinberg, S Mullainathan, A Rambachan
arXiv preprint arXiv:2406.03689, 2024
102024
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
K Vafa, A Rambachan, S Mullainathan
arXiv preprint arXiv:2406.01382, 2024
72024
The Unreasonable Effectiveness of Algorithms
J Ludwig, S Mullainathan, A Rambachan
AEA Papers and Proceedings 114, 623-627, 2024
62024
STRUCTURAL ESTIMATION UNDER MISSPECIFICATION: THEORY AND IMPLICATIONS FOR PRACTICE
I Andrews, N Barahona, M Gentzkow, A Rambachan, JM Shapiro
4*2023
Large language models: An applied econometric framework
J Ludwig, S Mullainathan, A Rambachan
National Bureau of Economic Research, 2025
22025
Program Evaluation with Remotely Sensed Outcomes
A Rambachan, R Singh, D Viviano
arXiv preprint arXiv:2411.10959, 2024
12024
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