vsemenova / orthomlLinks
Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Semenova, Goldman, Chernozhukov, Taddy (2017) https://arxiv.org/abs/1712.09988
☆25Updated 2 years ago
Alternatives and similar repositories for orthoml
Users that are interested in orthoml are comparing it to the libraries listed below
Sorting:
- Implementation of Double Machine Learning☆36Updated 5 months ago
- Matrix Completion Methods for Causal Panel Data Models☆102Updated 4 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆84Updated 2 months ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆37Updated 2 months ago
- ☆95Updated last year
- fixed effect counterfactual estimators☆75Updated this week
- Packages of Example Data for The Effect☆148Updated 10 months ago
- Machine Learning for Econometrics -- ENSAE Paris☆25Updated 5 years ago
- ☆100Updated 5 years ago
- Augmented Synthetic Control Method☆159Updated 7 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- difference-in-differences in Python☆105Updated last year
- ☆43Updated 4 years ago
- Machine Learning Estimation of Heterogeneous Causal Effects☆24Updated 4 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆116Updated 4 years ago
- Inference for synthetic controls☆39Updated 4 years ago
- Generalized Synthetic Control Method☆143Updated 5 months ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 3 years ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆70Updated 7 months ago
- Doubly Robust Difference-in-Differences Estimators☆93Updated 3 months ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- Design of Simulations using WGAN☆54Updated 2 years 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
- Slides for the Seattle University Causal Inference Class☆142Updated 4 years ago
- Double Machine Learning for Multiple Treatments☆41Updated 4 years ago
- Stata code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins☆18Updated last year
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Updated 6 months ago
- Optimized regression discontinuity designs☆30Updated 2 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Updated 4 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆104Updated last week