Replication materials for the paper "Evaluating the Effect of Homicide Prevention Strategies in São Paulo, Brazil: A Synthetic Control Approach" (2016)
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Updated
May 15, 2019 - TeX
Replication materials for the paper "Evaluating the Effect of Homicide Prevention Strategies in São Paulo, Brazil: A Synthetic Control Approach" (2016)
A replication of the paper "Democratization and Economic Output in Sub-Saharan Africa".
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, …
julia implementation of Synthetic Control estimation
Causal Inference Using Quasi-Experimental Methods
My assignments and R projects for the CS112 course. Topics covered include Predictive and Causal Inference, Genetic and P-score Matching, Synthetic Control.
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
Comparative Case Studies using The Synthetic Control Method
A tool to run a pool of synthetic controls, conduct inference, and produce visualizations.
Using simulated data to understand synthetic control
Using the Synthetic Control method to effectively demonstrate the impact of Elon Musk purchasing Twitter on overall sentiment towards the company and on Twitter's stock price.
Factor-Based Imputation for Missing Data
Prevalence of Cannabis Use Disorder Post Legalization – Uruguay Case Study (Synthetic Control Method)
A PyTorch implementation of the "robust" synthetic control model
Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
Replication code for "RNN-based counterfactual prediction, with an application to homestead policy and public schooling"
Test code for disaggregated synthetic control with simulated data
A Python package for causal inference using Synthetic Controls
Tutorials for the synthetic control method for causal inference using PyMC
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