ainaimi / mlci_shortcourseLinks
☆13Updated 2 years ago
Alternatives and similar repositories for mlci_shortcourse
Users that are interested in mlci_shortcourse are comparing it to the libraries listed below
Sorting:
- Repository for the ISU Causal Inference Working Group☆12Updated last year
- Code for Colangelo and Lee (2025)☆16Updated 11 months ago
- ☆10Updated 2 years ago
- ☆96Updated 2 years ago
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆143Updated 9 months ago
- Publicly available code from my publications 📝☆17Updated 2 months ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated 2 months ago
- Augmented Synthetic Control Method☆162Updated 11 months ago
- JupyterNotebook for the MIT course☆16Updated 8 months ago
- Doubly Robust Difference-in-Differences Estimators☆94Updated last month
- python implementation of Peng Ding's "First Course in Causal Inference"☆175Updated last year
- ☆100Updated 5 years ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆18Updated last year
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Updated 4 years ago
- Tutorial_Computational_Causal_Inference_Estimators☆38Updated 4 years ago
- Slides for the Seattle University Causal Inference Class☆146Updated 4 years ago
- fixed effect counterfactual estimators☆81Updated last month
- Packages of Example Data for The Effect☆152Updated last year
- Synthetic difference in differences☆295Updated last year
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆182Updated 2 months ago
- This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new t…☆11Updated 6 years ago
- ☆235Updated 2 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Updated 3 years ago
- Teaching materials☆15Updated 4 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆44Updated last year
- Regression Discontinuity Mixtape Track taught by Rocio Titiunik☆54Updated last year
- Machine Learning and Causal Inference taught by Brigham Frandsen☆220Updated 2 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Advanced Topics in Causal Inference PLSC 40601☆34Updated last year