Publications

From Predictive Algorithms to Automatic Generation of Anomalies

with Sendhil Mullainathan

Econometrica, Forthcoming.

Draft

Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding

with Amanda Coston and Edward Kennedy

The Review of Economics and Statistics, Forthcoming.

Draft

Large Language Models: An Applied Econometric Framework

with Jens Ludwig and Sendhil Mullainathan

Annual Review of Economics.

DraftPublished version

Design-Based Uncertainty for Quasi-Experiments

with Jonathan Roth

The Journal of the American Statistical Association.

DraftPublished version

Structural Estimation Under Misspecification: Theory and Implications for Practice

with Isaiah Andrews, Nano Barahona, Matthew Gentzkow, and Jesse Shapiro

The Quarterly Journal of Economics.

DraftPublished version

Identifying Prediction Mistakes in Observational Data

The Quarterly Journal of Economics.

DraftPublished version

A More Credible Approach to Parallel Trends

with Jonathan Roth

The Review of Economic Studies.

PDFPublished versionR package

Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective

with Iavor Bojinov and Neil Shephard

Quantitative Economics.

DraftPublished version

What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models

with Peter Chang, Keyon Vafa, and Sendhil Mullainathan

2025. Proceedings of the 42nd International Conference on Machine Learning (ICML).

DraftPublished version

Evaluating the World Model Implicit in a Generative Model

with Justin Chen, Keyon Vafa, Jon Kleinberg, and Sendhil Mullainathan

2024. Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS). Spotlight Award.

DraftPublished version

Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function

with Keyon Vafa and Sendhil Mullainathan

2024. Proceedings of the 41st International Conference on Machine Learning (ICML).

DraftPublished version

Characterizing Fairness over the Set of Good Models under Selective Labels

with Amanda Coston and Alexandra Chouldechova

2021. Proceedings of the 38th International Conference on Machine Learning (ICML).

DraftPublished version

Bias In, Bias Out? Evaluating the Folk Wisdom

with Jonathan Roth

2020. 1st Symposium on the Foundations of Responsible Computing (FORC).

DraftPublished version

Causal Inference with Satellite Imagery: A Comparison of Methods for Forest Conservation Data

with Haya Alsharif, Rahul Singh, and Davide Viviano

AEA Papers and Proceedings.

Published version

Algorithms as a Vehicle to Reflective Equilibrium: Behavioral Economics 2.0

with Jens Ludwig, Sendhil Mullainathan, and Sophia L. Pink

2025. In Ajay K. Agrawal, Erik Brynjolfsson, and Anton Korinek, eds., The Economics of Transformative AI. University of Chicago Press. NBER Conference Volume.

DraftChapter

Science in the Age of Algorithms

with Sendhil Mullainathan

2025. In Ajay K. Agrawal, Erik Brynjolfsson, and Anton Korinek, eds., The Economics of Transformative AI. University of Chicago Press. NBER Conference Volume.

DraftChapter

The Unreasonable Effectiveness of Algorithms

with Jens Ludwig and Sendhil Mullainathan

AEA Papers and Proceedings.

Published version

An Economic Perspective on Algorithmic Fairness

with Jon Kleinberg, Jens Ludwig, and Sendhil Mullainathan

AEA Papers and Proceedings.

Published version

Algorithmic Fairness

with Jon Kleinberg, Jens Ludwig, and Sendhil Mullainathan

AEA Papers and Proceedings.

Published version