QuantLet / Meta_learner-for-Causal-MLLinks
This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.
☆35Updated 10 months ago
Alternatives and similar repositories for Meta_learner-for-Causal-ML
Users that are interested in Meta_learner-for-Causal-ML are comparing it to the libraries listed below
Sorting:
- Difference-in-Differences☆41Updated 3 years ago
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆57Updated 11 months ago
- Code for DID chapter☆11Updated 2 years ago
- Difference-in-differences Imputation-based Estimator proposed by Borusyak, Jaravel, and Spiess (2021)☆52Updated 2 months ago
- NO LONGER MAINTAINED. Links to alternative packages are in the readme. Code to incorporate staggered treatment adoption (based on appendi…☆21Updated 2 years ago
- Honest inference in regression discontinuity designs☆62Updated 11 months ago
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Updated 9 months ago
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"☆50Updated 4 years ago
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆66Updated 3 weeks ago
- ☆100Updated 5 years ago
- Doubly Robust Difference-in-Differences Estimators☆93Updated this week
- Empirical Bayes Mixtape Session taught by Christopher Walters☆18Updated 11 months ago
- R package for power calculations and visualization for pre-trends tests☆68Updated last year
- Causal Inference Mixtape Sessions☆98Updated 3 years ago
- Causal-inference oriented doctoral econometrics course at UO☆82Updated 4 years ago
- R Companion to the textbook "Econometrics" by Fumio Hayashi☆38Updated 2 years ago
- ☆37Updated 3 years ago
- Applied Econometrics 2021☆31Updated 4 years ago
- ☆22Updated 6 years ago
- Homework assignments to go along with The Effect☆69Updated 3 months ago
- fixed effect counterfactual estimators☆80Updated last week
- Econometric Theory I☆30Updated last year
- Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taugh…☆81Updated 4 years ago
- Slide host for the advanced econometrics course for undergraduates☆42Updated last year
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆74Updated 2 weeks ago
- Causal Inference 3 Mixtape Session taught by Scott Cunningham☆51Updated 4 months ago
- A Swirl course for introductory econometrics☆67Updated last year
- ☆31Updated 2 years ago
- Statistical Tools for Causal Inference☆40Updated 8 months ago