Synthetic Control Group Method for Comparative Case Studies

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.


Reference manual

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install.packages("Synth")

1.1-10 by Jens Hainmueller, 6 months ago


https://web.stanford.edu/~jhain/


Browse source code at https://github.com/cran/Synth


Authors: Jens Hainmueller [aut, cre] , Alexis Diamond [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports kernlab, optimx, rgenoud

Suggests testthat


Imported by SCtools.

Suggested by MSCMT, sccic.


See at CRAN