Causal Inference with Applications

Harvard FAS

Substantive questions in empirical scientific and policy research are typically causal. This class introduces students to both statistical theory and the practice of causal inference. As theoretical frameworks, we discuss potential outcomes, causal graphs, randomization and model-based inference, sensitivity analysis, and partial identification. We also cover important methodological tools, including randomized experiments, regression discontinuity designs, matching, regression, instrumental…