This app works best with JavaScript enabled.
All Courses
▾
All Courses
Causal Inference
Causal Graphs
COMING SOON
R for Causal Inference
COMING SOON
Python for causal inference
COMING SOON
More on RDD
What's in this lesson
1- Bandwidth selection
2- Fuzzy or not fuzzy?
3- RDD: Some considerations
3.1- Are there really no differences between subjects just below and above the cutoff point?
3.2- Is the cutoff used for another rule?
3.3- Higher-order polynomials are not always good
3.4- Test the validity of your estimates
3.5- Generalizability of the treatment effect
Seems like you're not subscribed. Click below to subscribe and see the content!
Just a second ...
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
+5 more lessons
Back to randomized experiments
Intention to treat estimator
+6 more lessons
Quasi-experimental designs
Regression discontinuity designs
More on RDD
Synthetic control
More on synthetic control
Difference-in-differences method
A difference-in-difference example
Final thoughts on causal inference
Show Less
