freshtaste / CausalModelLinks
CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.
☆16Updated last year
Alternatives and similar repositories for CausalModel
Users that are interested in CausalModel are comparing it to the libraries listed below
Sorting:
- Design of Simulations using WGAN☆55Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- ☆96Updated 2 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- Machine Learning for Economics☆18Updated 2 years ago
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Updated 10 months ago
- Implementation of Double Machine Learning☆36Updated 8 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 4 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Updated 3 years ago
- Robust empirical Bayes confidence intervals☆11Updated last year
- Approximately balanced estimation of average treatment effects in high dimensions.☆36Updated 4 years ago
- Code for DID chapter☆11Updated 2 years ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆76Updated 3 weeks ago
- ☆15Updated 3 years ago
- ☆44Updated 4 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- ☆31Updated 2 years ago
- pytorch implementation of BLP'95☆26Updated 6 years ago
- fixed effect counterfactual estimators☆81Updated last month
- Optimized regression discontinuity designs☆30Updated 3 years ago
- Econometric Theory I☆30Updated last year
- Paper Repository☆12Updated 3 years ago
- Honest inference in regression discontinuity designs☆62Updated last year
- This repository contains the Python code to estimate the Forward and Augmented DID estimators.☆12Updated last year
- Inference for synthetic controls☆39Updated 4 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Updated 4 years ago
- Double Machine Learning for Multiple Treatments☆41Updated 5 years ago
- Models for Discrete Choice Experiments☆31Updated 9 months ago
- difference-in-differences in Python☆107Updated last year
- Treatment Effects in Interactive Fixed Effects Model☆17Updated 10 months ago