Standard Error Estimates for the Survivor Average Treatment Effect

Abstract

This project presents a novel method for estimating treatment effects in trials with high attrition or dropout rates. Specifically, the study builds on a principal stratification approach to estimate the average treatment effect for students who would take the post-test regardless of treatment. Previous work developed causal estimators for principal scores, and this report extends that by introducing a method to calculate the standard errors of these scores and effects. The study applies this approach to an educational experiment evaluating two online learning programs among middle school students during the COVID-19 pandemic