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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
Front door
7
Instrumental variables
8
Regression discontinuity
9
Difference in difference
10
Synthetic control
Areas of active research
11
Data-driven methods
12
Current research
13
Course recap
Discussions
Discussion 02. Stats review
Discussion 03. Analyzing an Experiment in R
Discussion 03. Analyzing an Experiment in R SOLUTIONS
Discussion 07. Causal Effects with Matching
Discussion 10. Causal Effects with Regression Discontinuity
Discussion 12. Empirical Application: How the Onset of Violent Conflict Affects Economic Output
Assignments
Due dates
Final 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 Difference + Synthetic Control
Course information
Who we are
References
13
Course recap
Nov 30
We will review what we have learned this semester.
12
Current research
Discussion 02. Stats review
On this page
13
Course recap
Syllabus
Canvas
Ed Discussion