apoorvalal / ding_causalInference_pythonLinks
python implementation of Peng Ding's "First Course in Causal Inference"
☆174Updated last year
Alternatives and similar repositories for ding_causalInference_python
Users that are interested in ding_causalInference_python are comparing it to the libraries listed below
Sorting:
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated 3 weeks ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆107Updated 2 months ago
- Machine Learning and Causal Inference taught by Brigham Frandsen☆216Updated last month
- Notebooks for Applied Causal Inference Powered by ML and AI☆137Updated 7 months ago
- difference-in-differences in Python☆105Updated last year
- Slides for the Seattle University Causal Inference Class☆143Updated 4 years ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆215Updated last year
- Synthetic difference in differences for Python☆85Updated last year
- CSDID☆34Updated 3 months ago
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆17Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 5 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆24Updated this week
- fixed effect counterfactual estimators☆78Updated 2 weeks ago
- ☆23Updated last year
- ☆92Updated 3 weeks ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆270Updated last week
- Slides for A Primer in Econometric Theory☆133Updated 8 years ago
- ☆31Updated last year
- Synthetic difference in differences☆291Updated last year
- ☆100Updated 5 years ago
- Augmented Synthetic Control Method☆161Updated 9 months ago
- Fixedeffectmodel: panel data modeling in Python☆78Updated 3 years ago
- JupyterNotebook for the MIT course☆16Updated 6 months ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Updated 9 months ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆73Updated 9 months ago
- Code and notebooks for my Medium blog posts☆129Updated last year
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆87Updated 3 months ago
- Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"☆28Updated 9 years ago
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago