Synthetic Control Group Method for Comparative Case Studies
Collect results from optimx optimization methods
Constructs a list of matrices from panel dataset to be loaded into syn...
Loss Function for nested optimization of W and V weights
Plots Gap in Outcome Trajectories between the Treated its Synthetic Co...
Plots Outcome Trajectories for Treated Unit and its Synthetic Control ...
Special Predictor Function for Dataprep
Constructs synthetic control units for comparative case studies
Creates Tables that Summarize Results of Synthetic Control Group Metho...
Implements the synthetic control group method for comparative case studies as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where a single unit (a state, country, firm, etc.) is exposed to an event or intervention. It provides a data-driven procedure to construct synthetic control units based on a weighted combination of comparison units that approximates the characteristics of the unit that is exposed to the intervention. A combination of comparison units often provides a better comparison for the unit exposed to the intervention than any comparison unit alone.