sdfordham / pysyncon
A python module for the synthetic control method
☆65Updated this week
Alternatives and similar repositories for pysyncon:
Users that are interested in pysyncon are comparing it to the libraries listed below
- Synthetic difference in differences for Python☆76Updated last year
- difference-in-differences in Python☆100Updated last year
- CSDID☆28Updated 4 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated last week
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated 4 months ago
- Fit Sparse Synthetic Control Models in Python☆81Updated last year
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆33Updated 2 months ago
- Packages of Example Data for The Effect☆138Updated 5 months ago
- Inference for synthetic controls☆39Updated 3 years ago
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆50Updated 4 months ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆34Updated 2 months ago
- A Python package for causal inference using Synthetic Controls☆182Updated last year
- ☆80Updated 4 years ago
- Augmented Synthetic Control Method☆151Updated 2 months ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated last week
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆78Updated 6 months ago
- ☆99Updated 4 years ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆68Updated 2 months ago
- ☆22Updated last year
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆219Updated this week
- Doubly Robust Difference-in-Differences Estimators☆92Updated 6 months ago
- Matrix Completion Methods for Causal Panel Data Models☆98Updated 3 years ago
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆13Updated 11 months ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆247Updated 5 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated last year
- fixed effect counterfactual estimators☆71Updated last week
- Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.☆42Updated 3 weeks ago
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 10 months ago
- Implementation of Double Machine Learning☆35Updated last week