Board #11 - Estimating Dynamic Effects of Strict Voter Identification Laws Using Marginal Structural Models

• In Event: 72-306 - Poster Session: Electoral Institutions and Democratic Resilience

Brief Overview

We explore the use of marginal structural models to estimate average causal effects for panel data where the treatment may reverse, and use it to investigate the effect of strict voter identification laws on voter turnout.

Author

• Andrew Jun-an Liang, University of California, San Diego