MCKnaus / causalDML
Implementation of Double Machine Learning
☆35Updated last year
Alternatives and similar repositories for causalDML:
Users that are interested in causalDML are comparing it to the libraries listed below
- Machine Learning Estimation of Heterogeneous Causal Effects☆24Updated 3 years ago
- Treatment Effects in Interactive Fixed Effects Model☆17Updated last month
- Optimized regression discontinuity designs☆29Updated 2 years ago
- Visualizing Panel Data☆48Updated 9 months ago
- fixed effect counterfactual estimators☆69Updated this week
- R-code to compare some staggered did methods☆26Updated 3 years ago
- Difference-in-differences Imputation-based Estimator proposed by Borusyak, Jaravel, and Spiess (2021)☆47Updated 8 months ago
- This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"☆49Updated 4 years ago
- Code for DID chapter☆11Updated last year
- ☆24Updated 3 weeks ago
- Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.☆47Updated 3 years ago
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆35Updated last month
- Code snippets from DiD Reading Group meetings☆40Updated 3 years ago
- ☆20Updated 4 years ago
- Honest inference in regression discontinuity designs☆61Updated 3 months ago
- Difference-in-Differences☆41Updated 2 years ago
- Advanced causal inference and research design course☆92Updated 3 years ago
- Causal inference GitHub for UT Austin☆28Updated 2 years ago
- NO LONGER MAINTAINED. Links to alternative packages are in the readme. Code to incorporate staggered treatment adoption (based on appendi…☆21Updated last year
- Multiple Treatment Effects☆23Updated 9 months ago
- fast and flexible Difference-in-Differences☆28Updated 4 months ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆33Updated 2 months ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆32Updated 2 months ago
- Specification curve in Stata☆41Updated 4 years ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Double Machine Learning for Multiple Treatments☆40Updated 4 years ago
- R package DIDdesign: Analyzing Difference-in-Differences Design☆38Updated 10 months ago
- ☆25Updated last year
- Inference for synthetic controls☆39Updated 3 years ago
- Create industry-level aggregates for shift-share IV following Borusyak, Hull, and Jaravel (2022)☆23Updated 2 years ago