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Synth (version 1.1-8)

Synthetic Control Group Method for Comparative Case Studies

Description

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.

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Version

Install

install.packages('Synth')

Version

1.1-8

License

GPL (>= 2)

Last Published

June 2nd, 2023

Functions in Synth (1.1-8)

basque

Panel Data from Spanish Regions to demonstrate the use of the Synthetic Control Method
collect.optimx

Collect results from optimx optimization methods
synth.data

Panel Data to demonstrate the use of the Synthetic Control Method
synth.tab

Creates Tables that Summarize Results of Synthetic Control Group Method
spec.pred.func

Special Predictor Function for Dataprep
dataprep

Constructs a list of matrices from panel dataset to be loaded into synth()
fn.V

Loss Function for nested optimization of W and V weights
synth

Constructs synthetic control units for comparative case studies
gaps.plot

Plots Gap in Outcome Trajectories between the Treated its Synthetic Control Unit
path.plot

Plots Outcome Trajectories for Treated Unit and its Synthetic Control Unit