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Estimation Considerations in Contextual Bandits
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey +1
Contextual bandit algorithms are sensitive to the estimation method of the outcome model as well as the exploration method used, particularly in the presence of rich heterogeneity…
When Should You Adjust Standard Errors for Clustering?
Alberto Abadie, Susan Athey, Guido Imbens +1
In empirical work it is common to estimate parameters of models and report associated standard errors that account for "clustering" of units, where clusters are defined by factors…
Optimized Regression Discontinuity Designs
Guido Imbens, Stefan Wager
The increasing popularity of regression discontinuity methods for causal inference in observational studies has led to a proliferation of different estimating strategies, most of w…
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges
Susan Athey, Guido Imbens, Thai Pham +1
There is a large literature on semiparametric estimation of average treatment effects under unconfounded treatment assignment in settings with a fixed number of covariates. More re…