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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "Synth" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'Synth: Synthetic Control Group Method for Comparative Case Studies'
version: 1.1-8
identifiers:
- type: doi
  value: 10.32614/CRAN.package.Synth
abstract: 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.
authors:
- family-names: Hainmueller
  given-names: Jens
  email: jhain@stanford.edu
- family-names: Diamond
  given-names: Alexis
  email: adiamond@fas.harvard.edu
preferred-citation:
  type: article
  title: 'Synth: An R Package for Synthetic Control Methods in Comparative Case Studies'
  authors:
  - name: Jens Hainmueller aut cre
  - name: Alexis Diamond aut
  - name: Alberto Abadie aut
  journal: Journal of Statistical Software
  year: '2011'
  volume: '42'
  issue: '13'
  url: https://www.jstatsoft.org/v42/i13/
  start: '1'
  end: '17'
repository: https://j-hai.r-universe.dev
commit: 8e171751211b4ff3c8686933b412d05021799162
url: https://web.stanford.edu/~jhain/
date-released: '2023-06-01'
contact:
- family-names: Hainmueller
  given-names: Jens
  email: jhain@stanford.edu