Working Papers


Identifying Prediction Mistakes in Observational Data. 2022.
[ Abstract | Draft | Supplement ]

Included and Excluded Instruments in Structural Estimation (with Isaiah Andrews, Nano Barahona, Matthew Gentzkow and Jesse Shapiro). 2022.
[ Abstract | Draft ]

Design-Based Uncertainty for Quasi-Experiments (with Jonathan Roth). 2022.
[ Abstract | Draft ]

Counterfactual Risk Assessments under Unmeasured Confounding (with Amanda Coston and Edward Kennedy). 2022.
[ Abstract | Draft ]

An Economic Approach to Regulating Algorithms (with Jon Kleinberg, Jens Ludwig and Sendhil Mullainathan). 2021.
[ Abstract | Draft | Slides ]

When do Common Time Series Estimands have Nonparametric Causal Meaning? (with Neil Shephard). 2021.
[ Abstract | Draft ]

A More Credible Approach to Parallel Trends (with Jonathan Roth). 2022. Conditionally accepted, The Review of Economic Studies.
[ Abstract | Draft | R package ]

Publications


Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective (with Iavor Bojinov and Neil Shephard). 2021. Quantitative Economics.
[ Abstract | Draft | Published Version | Slides ]

Characterizing Fairness over the Set of Good Models under Selective Labels (with Amanda Coston and Alexandra Chouldechova). 2021. International Conference on Machine Learning (ICML 2021).
[ Abstract | Draft | Published Version ]

An Economic Perspective on Algorithmic Fairness (with Jon Kleinberg, Jens Ludwig and Sendhil Mullainathan). 2020. AEA Papers and Proceedings, 110, Pp. 91-95. Non-refereed.
[ Abstract | Published Version ]

Bias In, Bias Out? Evaluating the Folk Wisdom (with Jonathan Roth). 2020. 1st Symposium on the Foundations of Responsible Computing (FORC 2020), LIPIcs, 156, Pp. 6:1-6:15.
[ Abstract | Draft | Published Version ]

Algorithmic Fairness (with Jon Kleinberg, Jens Ludwig and Sendhil Mullainathan). 2018. AEA Papers and Proceedings, 108, Pp. 22-27. Non-refereed.
[ Abstract | Published Version ]