A Python package for causal inference using Synthetic Controls
-
Updated
Jan 25, 2024 - Python
A Python package for causal inference using Synthetic Controls
Synthetic difference in differences for Python
Factor-Based Imputation for Missing Data
A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
Causal Inference Using Quasi-Experimental Methods
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
This tutorial presents the analysis of the 5th chapter of my master thesis - "The Effect of Conditional Cash Transfer Policies on Crime: Evidence from a Synthetic Controls Framework" - Felipe Santos-Marquez
Replication materials for the paper "Evaluating the Effect of Homicide Prevention Strategies in São Paulo, Brazil: A Synthetic Control Approach" (2016)
Source code to replicate the results of our article published in Revista de Historia Económica: Another case of the middle-income trap: Chile, 1900-1939
Comparative Case Studies using The Synthetic Control Method
Replication code for "RNN-based counterfactual prediction, with an application to homestead policy and public schooling"
Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"
The ongoing pandemic of coronavirus disease 2019-2020 (COVID-19) is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). This pathogenic virus is able to spread asymptotically during its incubation stage through a vulnerable population. Given the state of healthcare, policymakers were urged to contain the spread of infection, …
My assignments and R projects for the CS112 course. Topics covered include Predictive and Causal Inference, Genetic and P-score Matching, Synthetic Control.
Tutorials for the synthetic control method for causal inference using PyMC
Prevalence of Cannabis Use Disorder Post Legalization – Uruguay Case Study (Synthetic Control Method)
Using simulated data to understand synthetic control
A PyTorch implementation of the "robust" synthetic control model
Add a description, image, and links to the synthetic-control topic page so that developers can more easily learn about it.
To associate your repository with the synthetic-control topic, visit your repo's landing page and select "manage topics."