Assessing Sample Selection Bias in Fixed Effects Binary Outcome Models

• In Event: Causal Inference with Longitudinal Data

Brief Overview

Methods used to control for unobserved heterogeneity in binary models discard observations with no variation in the outcome, generating sample selection bias. I assess how this potential for sample selection bias affects different estimators.

Author

• Lucas Nunez, George Mason University