Regression Discontinuity with Errors in the Running Variable: Effect on Truthful Margin

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5 Citations (Scopus)


In regression discontinuity (RD) with a running variable S crossing a known cutoff c, an unexpectedly small break magnitude is due to S being a mis-measured version of the genuine running variable G. Has all been lost, and is RD useless when G≠S? This paper proves three things. First, when P(G=S)=0, nonparametric RD identification fails. Second, when P(G=S)>0, although the usual RD effect on the margin E(·|G=c) is not nonparametrically identified, the "effect on the truthful margin"E(·|G=S=c) is. Third, under a no-selection-problem assumption, the effect on the truthful margin becomes the effect on the margin; the no-selection-problem assumption is unnecessary, as long as the effect on the truthful margin is taken as a parameter of interest.

Original languageEnglish
Article number20150017
JournalJournal of Econometric Methods
Issue number1
Publication statusPublished - 2017

Bibliographical note

Funding Information:
This research has been supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2014S1A5B1014360). This research has been also partially funded by a Korea University Grant.

Publisher Copyright:
© 2017 Walter de Gruyter GmbH, Berlin/Boston 2017.


  • identification
  • measurement error
  • regression discontinuity
  • sample selection

ASJC Scopus subject areas

  • Statistics and Probability
  • Economics and Econometrics
  • Applied Mathematics


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