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
10
Interference
11
Course recap
Discussions
Discussion 1. Prob & Stats Review
Discussion 2. Analyzing an Experiment in R
Discussion 3. Treatment effect heterogneity in an Experiment
Discussion 4. Interference and Stat Review
Discussion 5. Directed Acyclic Graphs
Discussion 6. Course Project- Part 1
Discussion 7. Parametric g-formula
Discussion 8. Matching
Discussion 9. Instrumental Variable
Discussion 10. Regression discontinuity
Discussion 11. Difference in Differences
Discussion 12. Synthetic Control
Assignments
Due dates
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
Project
Course information
Who we are
References
11
Course recap
Dec 4
Slides.
We will review what we have learned this semester!
10
Interference
Discussion 1. Prob & Stats Review
On this page
11
Course recap
Syllabus
Canvas
Ed Discussion