Synth: Synthetic Control Group Method for Comparative Case Studies
Version 1.1-5

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.

Getting started

Package details

AuthorJens Hainmueller <jhain@stanford.edu> and Alexis Diamond <adiamond@fas.harvard.edu>
Date of publication2014-01-27 00:37:42
MaintainerJens Hainmueller <jhain@stanford.edu>
LicenseGPL (>= 2)
Version1.1-5
URL http://www.stanford.edu/~jhain
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Synth")

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Synth documentation built on May 29, 2017, 8:52 p.m.