Causal Inference with Applications
GOV 2003
Subject & Catalog Number
Course Information
Description
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 variables, difference-in-differences, and dynamic causal models.
Course Notes
Prerequisite: Gov 2001 and Gov 2002.
Available for Harvard Cross Registration
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
