Estimating Heterogeneous Effect on Clustered Data with Application on Get-Out-To-Vote Experiments

• In Event: Political Methodology and American Politics

Brief Overview

This paper aims to propose an approach to estimate heterogeneous treatment effect combining machine learning algorithm and mixed effect model. We apply this method on Get-Out-To-Vote (GOTV) experiments setting.

Author

• Junlong Aaron Zhou, New York University