This course introduces the quantitative foundations of policy evaluation when randomized experiments are unavailable or infeasible. It focuses on how time-ordered data help researchers distinguish policy effects from historical trajectories, seasonality, and external shocks.

Participants will examine the structure of time-series data, temporal dependence, dynamic effects, and the construction of credible counterfactuals. Lectures and applied exercises prepare students for the intervention and panel designs taught in the following weeks.