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The synth runner package: Utilities to automate synthetic control estimation using synth


  • Sebastian Galiani

    (University of Maryland)

  • Brian Quistorff

    (Microsoft AI and Research)


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 auto- mates 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 pretreat- ment into training and validation portions. Additionally, it provides diagnostics to assess fit and generates visualizations of results. Copyright 2017 by StataCorp LP.

Suggested Citation

  • Sebastian Galiani & Brian Quistorff, 2017. "The synth runner package: Utilities to automate synthetic control estimation using synth," Stata Journal, StataCorp LP, vol. 17(4), pages 834-849, December.
  • Handle: RePEc:tsj:stataj:v:17:y:2017:i:4:p:834-849
    Note: to access software from within Stata, net describe

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