MCKnaus / causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
☆247Updated 5 months ago
Alternatives and similar repositories for causalML-teaching:
Users that are interested in causalML-teaching are comparing it to the libraries listed below
- (Advanced) Applied Econometrics☆264Updated last week
- PhD Applied Econometrics class taught at UC Berkeley☆259Updated 3 months ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆213Updated last year
- Synthetic difference in differences☆279Updated last year
- Robust inference in difference-in-differences and event study designs☆199Updated last month
- Causal Inference II Mixtape Session taught by Scott Cunningham☆200Updated this week
- Slides for the Seattle University Causal Inference Class☆135Updated 4 years ago
- Causal Inference 1 Mixtape Session taught by Scott Cunningham☆276Updated last week
- Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth☆161Updated 3 months ago
- Machine Learning and Causal Inference taught by Brigham Frandsen☆207Updated 3 months ago
- Data and Program files for Causal Inference: The Mixtape☆419Updated 3 weeks ago
- This is the repository for the slides used in the Seattle University Econometrics course☆149Updated last year
- A PhD course in Applied Econometrics and Panel Data☆307Updated 6 months ago
- Doubly Robust Difference-in-Differences Estimators☆92Updated 5 months ago
- Instrumental Variables Mixtape Track taught by Peter Hull☆109Updated last month
- fixed effect counterfactual estimators☆69Updated this week
- Augmented Synthetic Control Method☆151Updated 2 months ago
- ☆99Updated 4 years ago
- difference-in-differences in Python☆100Updated last year
- Causal Inference Mixtape Sessions☆95Updated 2 years ago
- Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did☆329Updated last week
- Data, Code and other material for CodeChella concert☆165Updated 3 years ago
- Matrix Completion Methods for Causal Panel Data Models☆97Updated 3 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆161Updated 9 months ago
- ☆85Updated 11 months ago
- ☆234Updated 2 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated last month
- Official repository for the mcf package.☆17Updated this week
- ☆102Updated 2 years ago
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆55Updated last month