IDEAS home Printed from
   My bibliography  Save this paper

Nonparametric synthetic control method for program evaluation: model and Stata implementation


  • Giovanni Cerulli

    (Research Institute on Sustainable Economic Growth, Rome)


Building on the paper by Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010), I extend the Synthetic Control Method for program evaluation to the case of a nonparametric identification of the synthetic (or counterfactual) time pattern of the treated unit (for instance: a country, region, city, etc.). I discuss the advantages of this method over the one provided by previous authors and apply them to the same example of Abadie, Diamond, and Hainmueller (2010), i.e. the study of the effects of Proposition 99, a large-scale tobacco control program that California implemented in 1988. I will also show the use of the Stata command synth provided by Abadie, Diamond, and Hainmueller (2014) and that of npsynth for nonparametric synthetic control method I implemented in Stata. Given that many policy interventions and events of interest in social sciences take place at an aggregate level (countries, regions, cities, etc.) and affect a small number of aggregate units, the potential applicability of synthetic control methods to comparative case studies is very large, especially in situations where traditional regression methods are not appropriate.

Suggested Citation

  • Giovanni Cerulli, 2017. "Nonparametric synthetic control method for program evaluation: model and Stata implementation," United Kingdom Stata Users' Group Meetings 2017 02, Stata Users Group.
  • Handle: RePEc:boc:usug17:02

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:usug17:02. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.