Learning the Effect of Persuasion via Difference-in-Differences

Causal Inference under Interference through Designed Markets

Moment Restrictions in Nonlinear Panel Data Models with Feedback

Empirical Bayes When Estimation Precision Predicts Parameters

Inference for an Algorithmic Fairness-Accuracy Frontier

Robust Treatment Choice: A View From Partial Identification

From Predictive Algorithms to the Automatic Generation of Anomalies

Treatment Effect Estimators as Weighted Outcomes  

Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities