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Causal Inference
Causal Graphs
COMING SOON
R for Causal Inference
COMING SOON
Python for causal inference
COMING SOON
Pros and cons of matching
What's in this lesson
1- Matching and model independence
2- Other advantages of matching
3- The drawbacks
4- One last note
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Causal Inference
Causal inference an introduction
What is a cause?
+2 more lessons
Potential outcomes
A fundamental problem
+6 more lessons
Basics of causal graphs
What do DAGs tell us?
+6 more lessons
The basics of matching
Covariate distance matching
Propensity-score matching
Post-matching analysis
Working through an example
Pros and cons of matching
Weighting methods
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Back to randomized experiments
Intention to treat estimator
+6 more lessons
Quasi-experimental designs
Regression discontinuity designs
+6 more lessons
