Package: Synth 1.1-8

Synth: 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.

Authors:Jens Hainmueller <[email protected]> and Alexis Diamond <[email protected]>

Synth_1.1-8.tar.gz
Synth_1.1-8.zip(r-4.5)Synth_1.1-8.zip(r-4.4)Synth_1.1-8.zip(r-4.3)
Synth_1.1-8.tgz(r-4.4-any)Synth_1.1-8.tgz(r-4.3-any)
Synth_1.1-8.tar.gz(r-4.5-noble)Synth_1.1-8.tar.gz(r-4.4-noble)
Synth_1.1-8.tgz(r-4.4-emscripten)Synth_1.1-8.tgz(r-4.3-emscripten)
Synth.pdf |Synth.html
Synth/json (API)

# Install 'Synth' in R:
install.packages('Synth', repos = c('https://jankee2022.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • basque - Panel Data from Spanish Regions to demonstrate the use of the Synthetic Control Method
  • synth.data - Panel Data to demonstrate the use of the Synthetic Control Method

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5.41 score 12 stars 1 packages 426 scripts 1.9k downloads 9 mentions 8 exports 6 dependencies

Last updated 1 years agofrom:8e17175121. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-winNOTEOct 08 2024
R-4.5-linuxNOTEOct 08 2024
R-4.4-winOKOct 08 2024
R-4.4-macOKOct 08 2024
R-4.3-winOKOct 08 2024
R-4.3-macOKOct 08 2024

Exports:collect.optimxdataprepfn.Vgaps.plotpath.plotspec.pred.funcsynthsynth.tab

Dependencies:kernlabnloptrnumDerivoptimxpracmargenoud