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The Internal and External Validity of the Regression Discontinuity Design: A Meta-Analysis of 15 Within-Study Comparisons

Author

Listed:
  • Duncan D. Chaplin
  • Thomas D. Cook
  • Jelena Zurovac
  • Jared S. Coopersmith
  • Mariel M. Finucane
  • Lauren N. Vollmer
  • Rebecca E. Morris

Abstract

We test RD’s validity across 15 studies, each of which compared impact estimates from RD with those from a corresponding RCT. We find bias below 0.01 standard deviations on average, and below 0.07 by study based on results shrunken to capitalize on information from the other studies.

Suggested Citation

  • Duncan D. Chaplin & Thomas D. Cook & Jelena Zurovac & Jared S. Coopersmith & Mariel M. Finucane & Lauren N. Vollmer & Rebecca E. Morris, "undated". "The Internal and External Validity of the Regression Discontinuity Design: A Meta-Analysis of 15 Within-Study Comparisons," Mathematica Policy Research Reports 986aadaee95446d0a8ef87f3f, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:986aadaee95446d0a8ef87f3f0e4b70f
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    File URL: http://onlinelibrary.wiley.com/doi/10.1002/pam.22051/full
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