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Synth: An R Package for Synthetic Control Methods in Comparative Case Studies


Alberto Abadie


Harvard University - Harvard Kennedy School (HKS); National Bureau of Economic Research (NBER)

Alexis Diamond


affiliation not provided to SSRN

Jens Hainmueller


Massachusetts Institute of Technology (MIT) - Department of Political Science

June 2011

Journal of Statistical Software, Vol. 42, Issue 13, June 2011

Abstract:     
The R package Synth implements synthetic control methods for comparative case studies designed to estimate the causal effects of policy interventions and other events of interest (Abadie and Gardeazabal 2003; Abadie, Diamond, and Hainmueller 2010). These techniques are particularly well-suited to investigate events occurring at an aggregate level (i.e., countries, cities, regions, etc.) and affecting a relatively small number of units. Benefits and features of the Synth package are illustrated using data from Abadie and Gardeazabal (2003), which examined the economic impact of the terrorist conflict in the Basque Country.

Number of Pages in PDF File: 17

Keywords: synthetic control methods, differences in differences estimation, program evaluation, comparative case studies, causal inference

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Date posted: November 14, 2011  

Suggested Citation

Abadie, Alberto, Diamond, Alexis J. and Hainmueller, Jens, Synth: An R Package for Synthetic Control Methods in Comparative Case Studies (June 2011). Journal of Statistical Software, Vol. 42, Issue 13, June 2011. Available at SSRN: http://ssrn.com/abstract=1958891

Contact Information

Alberto Abadie
Harvard University - Harvard Kennedy School (HKS) ( email )
79 John F. Kennedy Street
Cambridge, MA 02138
United States
617-496-4547 (Phone)
617-495-2575 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Alexis J. Diamond
affiliation not provided to SSRN ( email )
No Address Available
Jens Hainmueller (Contact Author)
Massachusetts Institute of Technology (MIT) - Department of Political Science ( email )
77 Massachusetts Avenue
Cambridge, MA 02139
United States

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