susanathey / causalTreeLinks
Working repository for Causal Tree and extensions
☆448Updated 8 months ago
Alternatives and similar repositories for causalTree
Users that are interested in causalTree are comparing it to the libraries listed below
Sorting:
- Generalized Random Forests☆1,060Updated 3 months ago
- ☆235Updated 2 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Updated 4 years ago
- Synthetic difference in differences☆295Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- Causal Inference in Python☆574Updated 6 months ago
- Data and Program files for Causal Inference: The Mixtape☆447Updated last month
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- Augmented Synthetic Control Method☆162Updated 11 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆70Updated 5 years ago
- Fit Sparse Synthetic Control Models in Python☆87Updated last year
- A Python package for causal inference using Synthetic Controls☆192Updated last year
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago
- ☆100Updated 5 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆55Updated 8 years ago
- Generalized Synthetic Control Method☆145Updated last month
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 9 years ago
- difference-in-differences in Python☆107Updated last year
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Replication code and downloadable example data sets for The Effect☆204Updated 4 months ago
- ☆44Updated 4 years ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated 2 months ago
- An R package for causal inference in time series☆1,789Updated 3 months ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆111Updated 2 years ago
- Packages of Example Data for The Effect☆152Updated last year
- ☆93Updated last year
- ☆130Updated 3 weeks ago
- Python tools for regression discontinuity designs☆69Updated 6 years ago