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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.

Functions (10)

basque

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

collect.optimx

Collect results from optimx optimization methods

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

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

spec.pred.func

Special Predictor Function for Dataprep

synth

Constructs synthetic control units for comparative case studies

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

Synth

Synthetic Control Group Method for Comparative Case Studies

v1.1-5
GPL (>= 2)
Authors
Jens Hainmueller <jhain@stanford.edu> and Alexis Diamond <adiamond@fas.harvard.edu>
Initial release
2014-01-26

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