106 citations · 636 across the 106 of their papers we have counts for
20 papers · 1 filter
Measuring Gift Card Program Incrementality via Causal Data Fusion
Justin Whitehouse, William Betz, Yan Zhang +3
Businesses regularly offer gift card programs to drive customer spending and increase engagement. A central question is how much incremental revenue these programs generate, and wh…
Inference on Optimal Policy Values and Other Irregular Functionals via Softmax Smoothing
Justin Whitehouse, Qizhao Chen, Morgane Austern +1
Constructing confidence intervals for the value of an (unknown) optimal treatment policy is a fundamental problem in causal inference. Insight into the optimal policy value can gui…
Order-Explicit Linearization of High-Dimensional -Statistics
David M. Ritzwoller, Vasilis Syrgkanis
We give an order-explicit large deviation bound for the difference between a high-dimensional -statistic and its Hájek projection. In particular, we show that any -statistic…
Dynamic Local Average Treatment Effects
Ravi B. Sojitra, Vasilis Syrgkanis
We consider Dynamic Treatment Regimes (DTRs) with One Sided Noncompliance that arise in applications such as digital recommendations and adaptive medical trials. These are settings…
Applied Causal Inference Powered by ML and AI
Victor Chernozhukov, Christian Hansen, Nathan Kallus +2
An introduction to the emerging fusion of machine learning and causal inference. The book presents ideas from classical structural equation models (SEMs) and their modern AI equiva…
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
Daniel Ngo, Keegan Harris, Anish Agarwal +2
Synthetic control methods (SCMs) are a canonical approach used to estimate treatment effects from panel data in the internet economy. We shed light on a frequently overlooked but u…