Coursera

Causal Inference 2 (Coursera)

Offered by Columbia University,

This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships.

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We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models.

Syllabus

WEEK 1: Introduction to Mediation
WEEK 2: More on Mediation
WEEK 3: Instrumental Variables, Principal Stratification, and Regression Discontinuity
WEEK 4: Longitudinal Causal Inference
WEEK 5: Interference and Fixed Effects

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