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"
☆13Updated 2 years ago
Alternatives and similar repositories for RieszLearning:
Users that are interested in RieszLearning are comparing it to the libraries listed below
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Updated last week
- fixed effect counterfactual estimators☆69Updated this week
- ☆21Updated 5 years ago
- Implementation of Double Machine Learning☆35Updated last year
- difference-in-differences in Python☆100Updated last year
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 9 months ago
- ☆93Updated last year
- JupyterNotebook for the MIT course☆15Updated 2 years ago
- ☆29Updated last year
- ☆8Updated last year
- This repository contains the Python code to estimate the Forward and Augmented DID estimators.☆12Updated 3 months ago
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆76Updated 4 months ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆32Updated last month
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆24Updated last year
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆33Updated last month
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆65Updated last month
- Paper Repository☆11Updated 2 years ago
- CSDID☆25Updated 2 months ago
- Doubly Robust Difference-in-Differences Estimators☆92Updated 4 months ago
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆53Updated 3 weeks ago
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆13Updated 9 months ago
- Machine Learning Estimation of Heterogeneous Causal Effects☆24Updated 3 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated this week
- Double Machine Learning for Multiple Treatments☆40Updated 4 years ago
- Packages of Example Data for The Effect☆136Updated 4 months ago
- Augmented Synthetic Control Method☆150Updated last month
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆107Updated 3 years ago
- Regression Discontinuity Mixtape Track taught by Rocio Titiunik☆48Updated 2 months ago
- Code for DID chapter☆11Updated last year
- Design of Simulations using WGAN☆49Updated 2 years ago