This dataset contains replication materials for paper entitled: "Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory." Materials include the dat
We provide a new estimator, MR-LATE, that consistently estimates local average treatment effects when treatment is missing for some observations, not at random. If instead treatment is mismeasured for
Additional file 1: Fig. S1. The distribution of the estimated average treatment effect for kernel-based MiPS estimator and artificial neural network-based MiPS estimator in 1000 simulated data sets. T
We study regressions with multiple treatments and a set of controls that is flexible enough to purge omitted variable bias. We show that these regressions generally fail to estimate convex averages of
Additional file 1: Fig. S1. The distribution of the estimated average treatment effect for kernel-based MiPS estimator and artificial neural network-based MiPS estimator in 1000 simulated data sets. T