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NPSYNTH: Stata module to implement Nonparametric Synthetic Control Method


  • Giovanni Cerulli

    () (IRCrES-CNR)

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npsynth extends the Synthetic Control Method (SCM) for program evaluation proposed by Abadie and Gardeazabal (AER, 2003) and Abadie, Diamond, and Hainmueller (JASA, 2010) to the case of a nonparametric identification of the synthetic (or counterfactual) time pattern of a treated unit. The model assumes that the treated unit - such as a country, a region, a city, etc. - underwent a specific intervention in a given year, and estimates its counterfactual time pattern, the one without intervention, as a weighted linear combination of control units based on the predictors of the outcome. The nonparamentric imputation of the counterfactual is computed using weights proportional to the vector-distance between the treated unit's and the controls' predictors, using a kernel function with pre-fixed bandwidth. The routine provides a graphical representation of the results for validation purposes.

Suggested Citation

  • Giovanni Cerulli, 2017. "NPSYNTH: Stata module to implement Nonparametric Synthetic Control Method," Statistical Software Components S458398, Boston College Department of Economics, revised 23 Jun 2020.
  • Handle: RePEc:boc:bocode:s458398
    Note: This module should be installed from within Stata by typing "ssc install npsynth". The module is made available under terms of the GPL v3 ( Windows users should not attempt to download these files with a web browser.

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