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Allsynth: (Stacked) Synthetic Control Bias-Correction Utilities for Stata

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Abstract

Synthetic control methods are widely-used for estimating counterfactuals and treatment effects of policy interventions. allsynth adds greatly-enhanced functionality to the user-written synth module for Stata, which is widely used by practitioners to implement the "classic" synthetic control estimation strategy. allsynth automates implementation of several extensions to the classic approach while retaining the syntax of synth. The enhanced functionality includes automation of a bias-correction procedure that adjusts for differences in the predictor variable values between a treated unit and its synthetic control donors, automation of in-space placebo treatment estimation for randomization inference, and automated synthetic control estimation in environments with many treated units and treatment periods ("stacked" synthetic control estimation). allsynth also provides enhanced automated graphing capability and thorough diagnostics to help users with implementation. allsynth version 1.2 can be installed by typing ssc install allsynth, replace all in Stata's command line

Suggested Citation

  • Justin C. Wiltsire, 2024. "Allsynth: (Stacked) Synthetic Control Bias-Correction Utilities for Stata," Department Discussion Papers 2409, Department of Economics, University of Victoria.
    • Handle: RePEc:vic:vicddp:2409
    Note: ISSN 1914-2838 JEL Classification: C8, C87
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    File URL: https://www.uvic.ca/socialsciences/economics/_assets/docs/discussion/ddp2409.pdf
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    4. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    5. Alberto Abadie & Jérémy L’Hour, 2021. "A Penalized Synthetic Control Estimator for Disaggregated Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1817-1834, October.
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