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☆288Updated last year
- Working repository for Causal Tree and extensions☆447Updated 5 months ago
- A Python package for causal inference using Synthetic Controls☆191Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago
- Fit Sparse Synthetic Control Models in Python☆87Updated last year
- Synthetic difference in differences for Python☆84Updated last year
- Python tools for regression discontinuity designs☆69Updated 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
- ☆238Updated 2 years ago
- difference-in-differences in Python☆105Updated last year
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated 11 months ago
- Data and Program files for Causal Inference: The Mixtape☆433Updated 3 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Fixedeffectmodel: panel data modeling in Python☆79Updated 3 years ago
- A python module for the synthetic control method☆76Updated 5 months ago
- Augmented Synthetic Control Method☆160Updated 8 months ago
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆158Updated 4 years ago
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆34Updated 3 years ago
- Code and notebooks for my Medium blog posts☆130Updated last year
- ☆100Updated 5 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆84Updated 2 months ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆116Updated 4 years ago
- Generalized Synthetic Control Method☆143Updated 6 months ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆24Updated 3 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆173Updated last year