MCFpy / mcfLinks
Official repository for the mcf package.
☆22Updated last week
Alternatives and similar repositories for mcf
Users that are interested in mcf are comparing it to the libraries listed below
Sorting:
- difference-in-differences in Python☆106Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆108Updated last week
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆54Updated 7 months ago
- Packages of Example Data for The Effect☆150Updated last year
- Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis☆11Updated last year
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated 2 months ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆141Updated 9 months ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆26Updated last week
- CSDID☆37Updated 5 months ago
- Synthetic difference in differences for Python☆85Updated last year
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆279Updated last week
- This python package estimates dynamic panel data model using difference GMM and system GMM.☆33Updated last week
- Implementation of Double Machine Learning☆36Updated 8 months ago
- Machine Learning and Causal Inference taught by Brigham Frandsen☆218Updated 2 months ago
- Bayesian Causal Forests☆50Updated last year
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆37Updated 5 months ago
- Distributional Random Forests (Cevid et al., 2020)☆45Updated 2 weeks ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- ☆96Updated last year
- ☆44Updated 4 years ago
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆64Updated last week
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years 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
- This is the repository for the Python library mlsynth☆53Updated this week
- Slides for the Seattle University Causal Inference Class☆144Updated 4 years ago
- Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.☆50Updated 4 months ago
- Econometrics on the GPU (and CPU) via JAX☆17Updated 5 months ago
- Doubly Robust Difference-in-Differences Estimators☆94Updated 3 weeks ago
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆88Updated 5 months ago