victor5as / RieszLearning
Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests"
☆14Updated 2 years ago
Alternatives and similar repositories for RieszLearning:
Users that are interested in RieszLearning are comparing it to the libraries listed below
- This repository contains the Python code to estimate the Forward and Augmented DID estimators.☆12Updated 4 months ago
- Implementation of Double Machine Learning☆35Updated this week
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Updated last month
- ☆21Updated 5 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 10 months ago
- Code for DID chapter☆11Updated last year
- JupyterNotebook for the MIT course☆16Updated 2 years ago
- Specification test for the propensity score☆13Updated 2 years ago
- ☆94Updated last year
- Paper Repository☆11Updated 2 years ago
- fixed effect counterfactual estimators☆70Updated last week
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆33Updated 2 months ago
- Treatment Effects in Interactive Fixed Effects Model☆17Updated last month
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Sensitivity analysis tools for causal ML☆16Updated 10 months ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆33Updated 2 months ago
- difference-in-differences in Python☆100Updated last year
- CSDID☆28Updated 3 months ago
- Code for Colangelo and Lee (2025)☆13Updated 2 months ago
- Machine Learning Estimation of Heterogeneous Causal Effects☆24Updated 3 years ago
- ☆8Updated last year
- Packages of Example Data for The Effect☆138Updated 5 months ago
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆13Updated 10 months ago
- Multiple Treatment Effects☆23Updated 9 months ago
- Doubly Robust Difference-in-Differences Estimators☆92Updated 5 months ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆57Updated last month
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated this week
- 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 last year
- Honest inference in regression discontinuity designs☆61Updated 3 months ago