IDEAS home Printed from
   My bibliography  Save this paper

Robust Inference in Regression-Discontinuity Designs


  • Matias Cattaneo

    () (University of Michigan)

  • Sebastian Calonico

    (University of Miami)

  • Rocio Titiunik

    (University of Michigan)


This presentation will review main methodological results from the regression-discontinuity (RD) design literature, and illustrate them using the Stata RDROBUST package provided by the authors. More information about the Stata package and background methodological/theoretical papers may be obtained here: If time permits, I will also discuss two on-going research on RD methods and its corresponding Stata implementations. The first project focuses on RD inference under a local randomization assumption, while the second project discusses a new manipulation test for RD designs.

Suggested Citation

  • Matias Cattaneo & Sebastian Calonico & Rocio Titiunik, 2015. "Robust Inference in Regression-Discontinuity Designs," 2015 Stata Conference 16, Stata Users Group.
  • Handle: RePEc:boc:scon15:16

    Download full text from publisher

    File URL:
    Download Restriction: no


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Pilar Beneito & Pedro Javier Soria-EspĂ­n, 2020. "Month of birth and academic performance: differences by gender and educational stage," Discussion Papers in Economic Behaviour 0120, University of Valencia, ERI-CES.

    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:scon15:16. 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.