This course develops designs for evaluating policy interventions over time, with emphasis on before-and-after comparisons and interrupted time-series analysis.

Participants will learn to diagnose pre-existing trends, regression to the mean, seasonality, and concurrent shocks; specify counterfactual trajectories; estimate level and slope changes; and communicate the assumptions and uncertainty behind policy-effect estimates.