dropout009 / sdid_pythonLinks
replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://github.com/swager/sdid-script
☆15Updated 6 years ago
Alternatives and similar repositories for sdid_python
Users that are interested in sdid_python are comparing it to the libraries listed below
Sorting:
- Synthetic difference in differences☆293Updated last year
- Working repository for Causal Tree and extensions☆449Updated 8 months ago
- A Python package for causal inference using Synthetic Controls☆192Updated last year
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆70Updated 5 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- ☆235Updated 2 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Synthetic difference in differences for Python☆85Updated last year
- Augmented Synthetic Control Method☆161Updated 10 months ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Updated 4 years ago
- Data and Program files for Causal Inference: The Mixtape☆442Updated 3 weeks ago
- Fit Sparse Synthetic Control Models in Python☆87Updated last year
- difference-in-differences in Python☆106Updated last year
- ☆100Updated 5 years ago
- Python tools for regression discontinuity designs☆69Updated 6 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Updated 4 years ago
- Fixedeffectmodel: panel data modeling in Python☆78Updated 3 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 4 months ago
- EconML/CausalML KDD 2021 Tutorial☆166Updated 2 years ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated last month
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- ☆105Updated 4 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 9 years ago
- Generalized Synthetic Control Method