NickCH-K / causaldataLinks
Packages of Example Data for The Effect
☆152Updated last year
Alternatives and similar repositories for causaldata
Users that are interested in causaldata are comparing it to the libraries listed below
Sorting:
- Replication code and downloadable example data sets for The Effect☆204Updated 4 months ago
- Doubly Robust Difference-in-Differences Estimators☆94Updated last month
- Slides for the Seattle University Causal Inference Class☆146Updated 4 years ago
- Augmented Synthetic Control Method☆162Updated 11 months ago
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆38Updated 6 months ago
- Inference for synthetic controls☆39Updated 4 years ago
- ☆81Updated 4 years ago
- Generalized Synthetic Control Method☆147Updated last month
- fixed effect counterfactual estimators☆81Updated last week
- Class materials for "Economics, Causality, and Analytics"☆122Updated 5 years ago
- Implementation of Double Machine Learning☆36Updated 9 months ago
- ☆130Updated last month
- A package for Bayesian causal inference with time-series cross-sectional data☆29Updated 2 years ago
- Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taugh…☆81Updated 5 years ago
- Tools in R for computing and using Z-estimator approximate influence functions.☆102Updated last year
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 4 years ago
- ☆24Updated 7 years ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Updated 11 months ago
- Two-stage Difference-in-Differences package following Gardner (2021)☆110Updated last month
- ☆100Updated 5 years ago
- Homework assignments to go along with The Effect☆70Updated 4 months ago
- Causal Inference Mixtape Sessions☆99Updated 3 years ago
- ☆20Updated 4 years ago
- Advanced causal inference and research design course☆93Updated 4 years ago
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆58Updated last year
- Machine Learning Estimation of Heterogeneous Causal Effects☆25Updated 4 years ago
- ☆86Updated 3 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆76Updated last month