AlxndrMlk / huber-causal-analysisLinks
Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
☆11Updated last year
Alternatives and similar repositories for huber-causal-analysis
Users that are interested in huber-causal-analysis are comparing it to the libraries listed below
Sorting:
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆13Updated 2 years ago
- Tutorials on Stan for Bayesian causal inference☆19Updated 4 months ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆37Updated 3 months ago
- Implementation of Double Machine Learning☆36Updated 6 months ago
- Packages of Example Data for The Effect☆149Updated 11 months ago
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆14Updated last year
- Inference for synthetic controls☆39Updated 4 years ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 5 months ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆107Updated last month
- ☆16Updated 4 years ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Updated 8 months ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆16Updated 2 years ago
- This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and …☆13Updated 2 years ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated 7 months ago
- A python module for the synthetic control method☆76Updated 6 months ago
- R package cfcausal☆33Updated 2 years ago
- Econometrics on the GPU (and CPU) via JAX☆18Updated 3 months ago
- How to use EconML within R☆12Updated 5 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆55Updated 10 months ago
- notebooks on methods for causal inference☆36Updated last year
- Synthetic difference in differences for Python☆84Updated last year
- Empirical Bayes Mixtape Session taught by Christopher Walters☆17Updated 10 months ago
- Difference-in-Differences☆41Updated 3 years ago
- Guide to fundamental econometric theorems listed by J. Wooldridge☆39Updated last year
- Distributional Random Forests (Cevid et al., 2020)☆45Updated 2 years ago
- difference-in-differences in Python☆105Updated last year