Factor-augmented Bayesian treatment effects models for panel outcomes

A new, flexible model for inference of the effect a binary treatment on continuous outcome observed over subsequent time periods is proposed. The allows to separate associations due endogeneity under selection and additional longitudinal association outcomes, thus yielding unbiased estimates dynamic effects if both sources are present. performance proposed method investigated simulated data employed re-analyze long maternity leave mothers’ earnings after their return labour market.