shoepaladin / causalinference_crashcourseLinks
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
☆108Updated this week
Alternatives and similar repositories for causalinference_crashcourse
Users that are interested in causalinference_crashcourse are comparing it to the libraries listed below
Sorting:
- Machine Learning and Causal Inference taught by Brigham Frandsen☆217Updated last month
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated last month
- difference-in-differences in Python☆106Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆138Updated 8 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆53Updated 6 months ago
- Synthetic difference in differences for Python☆84Updated last year
- CSDID☆35Updated 4 months ago
- JupyterNotebook for the MIT course☆16Updated 7 months ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆24Updated last week
- Code and notebooks for my Medium blog posts☆131Updated last year
- A python module for the synthetic control method☆77Updated 7 months ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆174Updated last year
- This is a coding course in Python to accompany the Data Analysis material☆113Updated 3 years ago
- Unstructured Code with interesting analysis☆36Updated last year
- Packages of Example Data for The Effect☆150Updated last year
- Lectures and Tutorials for the Causal AI course☆47Updated 2 weeks ago
- Slides for the Seattle University Causal Inference Class☆143Updated 4 years ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆274Updated last week
- 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
- ☆23Updated last year
- Codes for case studies for the Bekes-Kezdi Data Analysis textbook☆225Updated last week
- A Python package for causal inference using Synthetic Controls☆193Updated last year
- ☆81Updated 4 years ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆56Updated 11 months ago
- ☆33Updated last year
- Replication code and downloadable example data sets for The Effect☆202Updated 2 months ago
- ☆100Updated 5 years ago
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆14Updated last year
- ☆238Updated 2 years ago