AlxndrMlk / huber-causal-analysis
Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
☆11Updated 8 months ago
Alternatives and similar repositories for huber-causal-analysis:
Users that are interested in huber-causal-analysis are comparing it to the libraries listed below
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 3 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆32Updated last month
- CSDID☆26Updated 3 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆19Updated 10 months ago
- Inference for synthetic controls☆39Updated 3 years ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated last year
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- R package cfcausal☆27Updated 2 years ago
- Packages of Example Data for The Effect☆138Updated 4 months ago
- Implementation of Double Machine Learning☆35Updated last year
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆13Updated 10 months ago
- Synthetic difference in differences for Python☆76Updated 11 months ago
- This repository contains the Python code to estimate the Forward and Augmented DID estimators.☆12Updated 3 months ago
- Sensitivity analysis tools for causal ML☆16Updated 9 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
- ☆16Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated 3 weeks ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- fast synthetic control estimators for panel data problems☆18Updated last week
- 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 last year
- ☆20Updated 3 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- difference-in-differences in Python☆100Updated last year
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated last month
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 2 years ago
- Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.☆41Updated 3 months ago
- ☆12Updated 5 years ago