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Causal Inference Course
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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
References
Who we are
On this page
References
Syllabus
Canvas
Ed Discussion