Beyond LATE: Identification of ATEs of Always-Takers and Never-Takers

• In Event: Causal Inference Meets Machine Learning

Brief Overview

This paper aims to address the limited external validity of LATE. We provide a set of point and partial identification results that can help us identify the ATEs of always-takers and never-takers. An application is also provided.

Authors

• Arthur Zeyang Yu, University of Chicago

• Robert Gulotty, University of Chicago