In this repository, we simulate data on a school intervention and we try to recover the average causal effect using a disaggregated synthetic control method. In this method, we create a synthetic control for each school and then average over schools.
The script 01_simulate_data.R contains the code to create the simulated school data, which results in the following simulated effect:
The script 02_disaggregated_synthetic_control.R contains the code to analyse this data and produce school-level effect plots like this:
Additionally, there is code to investigate covariate balance for the schools:
This is a project by the ODISSEI Social Data Science (SoDa) team. Do you have questions, suggestions, or remarks on the technical implementation? File an issue in the issue tracker or feel free to contact Erik-Jan van Kesteren.
