The synth_runner package: Utilities to automate synthetic control estimation using synth
Abstract. The synthetic control methodology (Abadie and Gardeazabal, 2003, American
Economic Review 93: 113–132; Abadie, Diamond, and Hainmueller, 2010,
Journal of the American Statistical Association 105: 493–505)
allows for a data-driven approach to small-sample comparative studies.
synth_runner automates the process of running multiple synthetic control
estimations using synth. It conducts placebo estimates in space
(estimations for the same treatment period but on all the control units).
Inference (p-values) is provided by comparing the estimated main effect
with the distribution of placebo effects. It also allows several units to
receive treatment, possibly at different time periods. It allows automatic
generation of the outcome predictors and diagnostics by splitting the
pretreatment into training and validation portions. Additionally, it provides
diagnostics to assess fit and generates visualizations of results.
View all articles by these authors:
Sebastian Galiani, Brian Quistorff
View all articles with these keywords:
synth_runner, synthetic control methodology, randomization inference
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