shoepaladin / causalinference_crashcourse
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
☆92Updated 2 weeks ago
Alternatives and similar repositories for causalinference_crashcourse:
Users that are interested in causalinference_crashcourse are comparing it to the libraries listed below
- Synthetic difference in differences for Python☆76Updated 11 months ago
- difference-in-differences in Python☆100Updated last year
- CSDID☆26Updated 2 months ago
- Machine Learning and Causal Inference taught by Brigham Frandsen☆207Updated 3 months ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆213Updated this week
- JupyterNotebook for the MIT course☆15Updated 2 years ago
- A python module for the synthetic control method☆64Updated 2 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 3 months ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆246Updated 4 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 …☆16Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated last week
- Lectures and Tutorials for the Causal AI course☆39Updated 3 months ago
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆49Updated 3 months ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆33Updated last month
- Regression Discontinuity Mixtape Track taught by Rocio Titiunik☆48Updated 3 months ago
- This is a coding course in Python to accompany the Data Analysis material☆107Updated 2 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆136Updated 7 months ago
- ☆21Updated last year
- Matrix Completion Methods for Causal Panel Data Models☆96Updated 3 years ago
- ☆84Updated 10 months ago
- Packages of Example Data for The Effect☆136Updated 4 months ago
- ☆99Updated 4 years ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated last year
- Official repository for the mcf package.☆17Updated this week
- Code and notebooks for my Medium blog posts☆119Updated last year
- Unstructured Code with interesting analysis☆35Updated 5 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆24Updated last year
- ☆80Updated 4 years ago
- Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH☆84Updated 3 years ago