Learning objectives#
Methods#
Students explain why the Roy model is useful as a basic tool
Students appreciate the usefulness of the Marginal Treatment Effect
Students explain why selection models typically lead to control function estimation
Students explain why extrapolation is central in the typical treatment effects setup
Students explain why control function estimation has been criticized for being sensitive to functional form assumptions
Students explain the intuition behind bounding treatment effects
Personal#
Students relate the results in different papers to each other
Social#
Students help each other working through differences in notation etc.