<<<<<<< HEAD
12 Course recap | Causal Inference Course
=======
11 Course recap | Causal Inference Course
>>>>>>> 3bf8b6387dd83de7ad9793602f027f9869ce047e
Skip to main content
Causal Inference Course
Show table of contents
Table of contents
Welcome
1
Defining counterfactuals
Identification by exchangeability
2
Exchangeability and experiments
3
Consistency and positivity
4
Directed Acyclic Graphs
5
Statistical modeling
Identification without exchangeability
6
Instrumental variables
7
Regression discontinuity
8
Difference in differences
9
Synthetic control
Areas of active research
10
Current research
11
Course recap
Discussions
Discussion 2. Stats review
Discussion 3. Analyzing an Experiment in R
Discussion 05. Course Project: Task 1
Solutions: Matching Lab
Discussion 10: RDD Lab Solutions
Discussion 11: DiD Lab
Solutions: Parametric g-formula Lab
Assignments
Due dates
Course Project
Problem Set 1. Definitions
Problem Set 2. Experiments
Problem Set 3. DAGs.
Problem Set 4. Statistical Modeling
Problem Set 5. IV + RD
Problem Set 6. Difference in Differences + Synthetic Control
Course information
Who we are
References
11
Course recap
Dec 5
Slides
We will review what we have learned this semester!
10
Current research
Discussion 2. Stats review
On this page
11
Course recap
Syllabus
Canvas
Ed Discussion