freshtaste / CausalModel
CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.
☆16Updated 11 months ago
Alternatives and similar repositories for CausalModel
Users that are interested in CausalModel are comparing it to the libraries listed below
Sorting:
- Machine Learning for Economics☆18Updated 2 years ago
- Implementation of Double Machine Learning☆35Updated last month
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 2 years ago
- Design of Simulations using WGAN☆50Updated 2 years ago
- Optimized regression discontinuity designs☆29Updated 2 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆80Updated 11 months ago
- Code for DID chapter☆11Updated last year
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆68Updated 3 months ago
- ☆42Updated 4 years ago
- Models for Discrete Choice Experiments☆29Updated 2 months ago
- Robust empirical Bayes confidence intervals☆11Updated 8 months ago
- ☆20Updated 4 years ago
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Updated 2 months ago
- ☆94Updated last year
- Paper Repository☆11Updated 2 years ago
- Treatment Effects in Interactive Fixed Effects Model☆17Updated 2 months ago
- pytorch implementation of BLP'95☆26Updated 5 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Double Machine Learning for Multiple Treatments☆40Updated 4 years ago
- Python Code for UTexas econometrics☆13Updated 2 years ago
- ☆29Updated last year
- Multiple Treatment Effects☆23Updated 10 months 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 …☆16Updated 2 years ago
- Inference for synthetic controls☆39Updated 4 years ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Updated 3 months ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated last year
- Replication code for "Log with zeros? Some problems and solutions"☆13Updated 11 months ago