Partial identification of distributional and quantile treatment effects in difference-in-differences models

► We study partial identification in the difference-in-differences model. ► We consider both the panel data and the repeated cross sectional data. ► We establish identified sets for distributional treatment effects. ► The identified set is tighter with the panel than with the repeated cross sectional data. ► We illustrate the gain from the panel via a numerical example.