MCKnaus / causalML-teachingLinks
This repository consolidates my teaching material for "Causal Machine Learning".
☆260Updated 10 months ago
Alternatives and similar repositories for causalML-teaching
Users that are interested in causalML-teaching are comparing it to the libraries listed below
Sorting:
- Synthetic difference in differences☆286Updated last year
- Causal Inference 1 Mixtape Session taught by Scott Cunningham☆289Updated last month
- Machine Learning and Causal Inference taught by Brigham Frandsen☆209Updated 8 months ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆215Updated last year
- (Advanced) Applied Econometrics☆284Updated 4 months ago
- Robust inference in difference-in-differences and event study designs☆210Updated 6 months ago
- Causal Inference II Mixtape Session taught by Scott Cunningham☆212Updated last month
- Data and Program files for Causal Inference: The Mixtape☆432Updated 2 months ago
- Slides for the Seattle University Causal Inference Class☆142Updated 4 years ago
- ☆100Updated 5 years ago
- Augmented Synthetic Control Method☆159Updated 7 months ago
- This is the repository for the slides used in the Seattle University Econometrics course☆156Updated 4 months ago
- PhD Applied Econometrics class taught at UC Berkeley☆271Updated 8 months ago
- ☆238Updated 2 years ago
- Instrumental Variables Mixtape Track taught by Peter Hull☆114Updated 7 months ago
- Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth☆173Updated 3 weeks ago
- Matrix Completion Methods for Causal Panel Data Models☆102Updated 4 years ago
- Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did☆358Updated 3 months ago
- Doubly Robust Difference-in-Differences Estimators☆93Updated 3 months ago
- ☆91Updated last week
- A PhD course in Applied Econometrics and Panel Data☆319Updated this week
- Source code for the Library of Statistical Techniques☆276Updated last month
- Causal Inference Mixtape Sessions☆97Updated 3 years ago
- Replication code and downloadable example data sets for The Effect☆201Updated last week
- Data, Code and other material for CodeChella concert☆167Updated 4 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆172Updated last year
- fixed effect counterfactual estimators☆75Updated this week
- Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees☆105Updated 8 months ago
- A PhD course in Applied Econometrics and Panel Data☆56Updated 5 years ago
- difference-in-differences in Python☆105Updated last year