Topics in causal inference

Time：Mon.& Wed., 19:20–20:55 June 5-July 31, 2023

Venue：Lecture Hall, 3rd Floor Jin Chun Yuan West Bldg.

Speaker：Peng Ding 丁鹏 University of California, Berkeley

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

DATEJune 5, 2023

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