19. Causal inference using regression on the treatment variable

19.1 Pre-treatment covariates, treatments, and potential outcomes

19.2 Example: the effect of showing children an educational television show

19.3 Including pre-treatment predictors

19.4 Varying treatment effects, interactions, and poststratification

19.5 Challenges of interpreting regression coefficients as treatment effects

19.6 Do not adjust for post-treatment variables

19.7 Intermediate outcomes and causal paths

19.8 Bibliographic note

19.9 Exercises