sdfordham / pysynconLinks
A python module for the synthetic control method
☆79Updated 8 months ago
Alternatives and similar repositories for pysyncon
Users that are interested in pysyncon are comparing it to the libraries listed below
Sorting:
- Synthetic difference in differences for Python☆85Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆108Updated last week
- difference-in-differences in Python☆106Updated last year
- Packages of Example Data for The Effect☆150Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆54Updated 7 months ago
- CSDID☆37Updated 5 months ago
- Fit Sparse Synthetic Control Models in Python☆87Updated last year
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆37Updated 5 months ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated 2 months ago
- A Python package for causal inference using Synthetic Controls☆192Updated last year
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆57Updated last year
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆14Updated last year
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Updated 11 months ago
- ☆81Updated 4 years ago
- Python version of fixed effects counterfactual estimators☆11Updated 4 months ago
- Inference for synthetic controls☆39Updated 4 years ago
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆88Updated 5 months ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆279Updated last week
- Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.☆50Updated 4 months ago
- Choice modeling with PyTorch: logit model and nested logit model☆58Updated last week
- Python tools for regression discontinuity designs☆69Updated 6 years ago
- Every big regression is a small regression with weights.☆64Updated last month
- notebooks on methods for causal inference☆36Updated last year
- Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.☆67Updated 2 years ago
- This is the repository for the Python library mlsynth☆53Updated this week
- Machine Learning for Econometrics -- ENSAE Paris☆26Updated 5 years ago
- ☆100Updated 5 years ago