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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
Data-driven methods
11
Current research
12
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
12
Course recap
Nov 30
Slides
We will review what we have learned this semester!
11
Current research
Discussion 2. Stats review
On this page
12
Course recap
Syllabus
Canvas
Ed Discussion