Estimation of Average Treatment Effects Using Many Surrogates and the Surrogate Score

Estimation of Average Treatment Effects Using Many Surrogates and the Surrogate Score

Neyman Seminar
Mar 2, 2016, 04:00 PM - 05:00 PM | 60 Evans Hall | Happening As Scheduled
Susan Athey, Stanford University
Abstract: Randomized experiments are the gold standard to estimating average treatment effects. Unfortunately, the outcome of interest may be difficult to measure due to time or costs and typically one relies on proxy variables, like surrogate outcomes, as substitutes for the outcome. In conjunction, it is often the case that one has auxiliary, non-experimental data available on the surrogates...