grf-labs / policytreeLinks
Policy learning via doubly robust empirical welfare maximization over trees
☆83Updated last month
Alternatives and similar repositories for policytree
Users that are interested in policytree are comparing it to the libraries listed below
Sorting:
- ☆96Updated last year
- ☆42Updated 4 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆113Updated 4 years ago
- Packages of Example Data for The Effect☆142Updated 9 months ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 5 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆67Updated 4 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Implementation of Double Machine Learning☆36Updated 4 months ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 4 years ago
- Double Machine Learning for Multiple Treatments☆41Updated 4 years ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆36Updated last month
- Matrix Completion Methods for Causal Panel Data Models☆102Updated 4 years ago
- fixed effect counterfactual estimators☆76Updated last week
- Augmented Synthetic Control Method☆158Updated 6 months ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 9 months ago
- Sensitivity analysis tools for causal ML☆18Updated last month
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- ☆100Updated 4 years ago
- ☆22Updated 7 years ago
- Doubly Robust Difference-in-Differences Estimators☆93Updated 2 months ago
- Generalized Synthetic Control Method☆143Updated 4 months ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Updated 7 months ago
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Updated 5 months ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆70Updated 7 months ago
- Optimized regression discontinuity designs☆29Updated 2 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 3 years ago
- Inference for synthetic controls☆39Updated 4 years ago
- R package cfcausal☆32Updated 2 years ago
- Causal Inference using Bayesian Additive Regression Trees☆81Updated 3 weeks ago
- Design of Simulations using WGAN☆53Updated 2 years ago