apoorvalal / ding_causalInference_python
python implementation of Peng Ding's "First Course in Causal Inference"
☆162Updated 11 months ago
Alternatives and similar repositories for ding_causalInference_python:
Users that are interested in ding_causalInference_python are comparing it to the libraries listed below
- This repository consolidates my teaching material for "Causal Machine Learning".☆247Updated 6 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated 3 weeks ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆116Updated last month
- difference-in-differences in Python☆100Updated last year
- Slides for the Seattle University Causal Inference Class☆135Updated 4 years ago
- Machine Learning and Causal Inference taught by Brigham Frandsen☆207Updated 4 months ago
- Fixedeffectmodel: panel data modeling in Python☆78Updated 3 years ago
- ☆99Updated 4 years ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆213Updated last year
- Synthetic difference in differences☆281Updated last year
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆16Updated 2 years ago
- Robust inference in difference-in-differences and event study designs☆205Updated 2 months ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆68Updated 3 months ago
- Econ5121A@CUHK. This is an open-source writing project.☆88Updated last month
- (Advanced) Applied Econometrics☆266Updated last week
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated last week
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆58Updated 2 months ago
- Synthetic difference in differences for Python☆77Updated last year
- CSDID☆28Updated 4 months ago
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆79Updated 6 months ago
- ☆29Updated last year
- fixed effect counterfactual estimators☆71Updated 3 weeks ago
- Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth☆163Updated 4 months ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆222Updated this week
- Causal Inference II Mixtape Session taught by Scott Cunningham☆202Updated 2 weeks ago
- Doubly Robust Difference-in-Differences Estimators☆92Updated 6 months ago
- Official repository for the mcf package.☆18Updated last month
- Python tools for regression discontinuity designs☆69Updated 5 years ago
- Causal Inference 1 Mixtape Session taught by Scott Cunningham☆281Updated last month
- JupyterNotebook for the MIT course☆16Updated this week