lewisbails / cemLinks
cem is a lightweight library for performing coarsened exact matching (CEM). CEM is a modern matching technique useful for causal inference on observational data.
☆28Updated last year
Alternatives and similar repositories for cem
Users that are interested in cem are comparing it to the libraries listed below
Sorting:
- Fit Sparse Synthetic Control Models in Python☆89Updated last year
- Synthetic difference in differences for Python☆87Updated last year
- A Python package for causal inference using Synthetic Controls☆192Updated 2 years ago
- difference-in-differences in Python☆107Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆57Updated 8 months ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 6 months ago
- Packages of Example Data for The Effect☆155Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆25Updated 2 weeks ago
- A python module for the synthetic control method☆80Updated last month
- ☆17Updated 3 years ago
- Python tools for regression discontinuity designs☆69Updated 6 years ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆292Updated this week
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆115Updated last month
- ☆81Updated 4 years ago
- Code and notebooks for my Medium blog posts☆131Updated last year
- A Python library for Difference-in-Differences (DiD) causal inference analysis with an sklearn-like API and statsmodels-style outputs.☆86Updated this week
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆72Updated 5 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- ☆44Updated 4 years ago
- ☆93Updated last year
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Updated 3 years ago
- Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis☆11Updated last year
- ☆236Updated 2 years ago
- Augmented Synthetic Control Method☆163Updated last year
- DoubleML - Double Machine Learning in Python☆705Updated this week
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- Official repository for the mcf package.☆22Updated last month
- Working repository for Causal Tree and extensions☆448Updated 9 months ago
- notebooks on methods for causal inference☆36Updated last year
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆39Updated 7 months ago