Speaker
Peng Ding is an Associate Professor in the Department of Statistics, UC Berkeley, working on causal inference. He obtained his Ph.D. from the Department of Statistics and worked as a postdoctoral researcher in the Department of Epidemiology, both at Harvard.
Course Description
This course will cover the following basic topics:
- randomization inference in experiments: design and analysis
- observational studies: identification and estimation with and without unconfoundedness, sensitivity analysis
- causal mechanisms: post-treatment complications, interaction
- difference in differences and panel data
- spillover and peer effects
Prerequisite
Calculus, linear algebra, probability, statistics
Reference
Lecture notes from the instructor
Target Audience
Undergraduate students & Graduate students
Teaching Language
Chinese