Research : Empirical Methods

Working Papers (and Conference Workshop Presentations)

The Algorithmic Automation Problem: Prediction, Triage, and Human Effort,” with Maithra Raghu, Katy Blumer, Greg Corrado, Jon Kleinberg, and Ziad Obermeyer, 2019.

Machine Learning Tests for Effects on Multiple Outcomes,” with Jens Ludwig and Jann Spiess, working paper

The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness,” with Jon Kleinberg and Annie Liang, draft, 2015.

Publications and Refereed Conference Presentations

The Inversion Problem: Why Algorithms Should Infer Mental State and Not Just Predict Behavior,” with Jon Kleinberg, Jens Ludwig, and Manish Raghavan. Perspectives on Psychological Science, December 2023.

Quantifying the Causal Effects of Conversational Tendencies,” with Justine Zhang and Cristian Danescu-Niculescu-Mizil, Proceedings of ACM CSCW, 2020.

Direct Uncertainty Prediction for Medical Second Opinions,” with Maithra Raghu, Katy Blumer, Jon Kleinberg, Rory Sayres, Ziad Obermeyer, and Robert Kleinberg, International Conference on Machine Learning (ICML), 2019.

Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography,” with Andrew Miller, Ziad Obermeyer and John Cunningham, International Conference on Machine Learning (ICML), 2019.

Human Decisions and Machine Predictions,” with Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec and Jens Ludwig, Quarterly Journal of Economics, 133.1 (2018): 237-293. (also: NBER Working Papers 23180, National Bureau of Economic Research, Inc.)

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables,” with Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec and Jens Ludwig (2017), Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Does Machine Learning Automate Moral Hazard and Error?” with Ziad Obermeyer (2017), American Economic Review, May 207, 107 (5): 476-80.  (Non-refereed)

Machine Learning: An Applied Econometric Approach,” with Jann Spiess (2017), Journal of Economic Perspectives, Spring 2017, 31 (2): 87-106.

Prediction Policy Problems,” with Jon Kleinberg, Jens Ludwig and Ziad Obermeyer, American Economic Review (May), 2015.  (Non-refereed)

Mechanism Experiments and Policy Evaluations,” with Jens Ludwig & Jeffrey R. Kling, Journal of Economic Perspectives, 25:3 (Summer 2011), 17-38.

How Much Should We Trust Difference-in-Difference Estimates?” with Marianne Bertrand & Esther Duflo, The Quarterly Journal of Economics, 119(1), 2004: 249-275.

Do People Mean What They Say? Implications for Subjective Survey Data,” with Marianne Bertrand. Shorter version: American Economic Review Papers and Proceedings, 91(2), May 2001: 67-72. (Non-refereed)