Machine Learning Estimation of Heterogeneous Causal Effects
☆25Sep 6, 2021Updated 4 years ago
Alternatives and similar repositories for CATEs
Users that are interested in CATEs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Double Machine Learning☆37Feb 19, 2026Updated last month
- Double Machine Learning for Multiple Treatments☆41Dec 4, 2020Updated 5 years ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Jan 26, 2025Updated last year
- Computational Data Analytics for Economists☆15Jan 9, 2022Updated 4 years ago
- Code for DID chapter☆11May 30, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Public repository for QSS Stata Book☆10Feb 24, 2024Updated 2 years ago
- Difference-in-Differences☆42May 18, 2022Updated 3 years ago
- ☆17Dec 24, 2021Updated 4 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 3 years ago
- CRAN Task View: Causal Inference☆20Mar 4, 2026Updated 3 weeks ago
- Tutorial_Computational_Causal_Inference_Estimators☆38Oct 29, 2021Updated 4 years ago
- A sensitivity analysis package for causal effects☆12Mar 18, 2024Updated 2 years ago
- Find-my-reviewers matches scholars and paper together with topic extraction (LDA).☆12Dec 26, 2017Updated 8 years ago
- Difference-in-differences Imputation-based Estimator proposed by Borusyak, Jaravel, and Spiess (2021)☆57Dec 11, 2025Updated 3 months ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This repository consolidates my teaching material for "Causal Machine Learning".☆262Oct 24, 2025Updated 5 months ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆15Mar 6, 2019Updated 7 years ago
- Create industry-level aggregates for shift-share IV following Borusyak, Hull, and Jaravel (2022)☆28Nov 2, 2025Updated 4 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Nov 26, 2021Updated 4 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27May 10, 2023Updated 2 years ago
- Code snippets from DiD Reading Group meetings☆43Jul 19, 2021Updated 4 years ago
- Sensitivity analysis tools for causal ML☆20Feb 11, 2026Updated last month
- DoubleML - Double Machine Learning in R☆160Apr 14, 2025Updated 11 months ago
- Two-Stage Difference-in-Differences following Gardner (2021)☆35Jul 8, 2025Updated 8 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Mar 1, 2025Updated last year
- Repository for PLSC 40502 - "Data Analysis with Statistical Models"☆13Mar 6, 2025Updated last year
- Advanced causal inference and research design course☆94Oct 15, 2021Updated 4 years ago
- Machine Learning for Economists and Business Analysts☆26Mar 12, 2026Updated 2 weeks ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Jun 14, 2022Updated 3 years ago
- ☆14Updated this week
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆78Dec 16, 2025Updated 3 months ago
- ☆19May 15, 2024Updated last year
- ☆21Apr 1, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Policy learning via doubly robust empirical welfare maximization over trees☆87Feb 18, 2026Updated last month
- TWFE weights☆11Mar 6, 2026Updated 2 weeks ago
- ☆16Feb 3, 2024Updated 2 years ago
- Calculate and Visualize Herfindahl-Hirschman Index Scores☆17Feb 7, 2025Updated last year
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆28Apr 5, 2025Updated 11 months ago
- ☆101Sep 3, 2020Updated 5 years ago
- Two-stage interrupted time series analysis of excess mortality in Italy during the COVID-19 pandemic☆17Feb 13, 2025Updated last year