Precise unbiased estimation in randomized experiments using auxiliary observational data
Precise unbiased estimation in randomized experiments using auxiliary observational data
Abstract Randomized controlled trials (RCTs) admit unconfounded design-based inference – randomization largely justifies the assumptions underlying statistical effect estimates – but often have limited sample sizes. However, researchers may have access to big observational data on covariates and outcomes from RCT nonparticipants. For example, data from A/B tests conducted within …