Topics in the theory and practice of causal inference

• Department of Economics

Davide Viviano will offer the course: "Topics in the theory and practice of causal inference"

The course will cover recent advances in causal inference. The course is structured in three classes that will cover: 

• Potential outcomes, DAGs, negative controls, proximal methods, causal discovery, causal inference with remotely sensed data (e.g., satellite or text data)
• Machine learning for heterogeneous treatment effects, evidence aggregation for policy evaluation and policy learning