5 papers
Estimating Causal Effects from Data Generated by Stochastic Algorithms
Susan Athey, Guido Imbens, Zoe Ji
Recommendation systems and chatbots present content to users, typically using stochastic algorithms that select the content based on user characteristics or context. Examples of co…
Estimating Variances for Causal Panel Data Estimators
Alexander Almeida, Susan Athey, Guido Imbens +2
There has been a recent surge in research on causal panel data models, leading to many new estimators for average causal effects. However, researchers have paid less attention to q…
Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
Xuelin Yang, Licong Lin, Susan Athey +2
We develop new methods to integrate experimental and observational data in causal inference. While randomized controlled trials offer strong internal validity, they are often costl…
Identification of Average Treatment Effects in Nonparametric Panel Models
Susan Athey, Guido Imbens
This paper studies identification of average treatment effects in a panel data setting. It introduces a novel nonparametric factor model and proves identification of average treatm…
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Vitor Hadad, David A. Hirshberg, Ruohan Zhan +2
Adaptive experiment designs can dramatically improve statistical efficiency in randomized trials, but they also complicate statistical inference. For example, it is now well known…