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Limitless Regression Discontinuity

Author

Listed:
  • Adam C. Sales

    (University of Texas)

  • Ben B. Hansen

    (University of Michigan)

Abstract

Conventionally, regression discontinuity analysis contrasts a univariate regression’s limits as its independent variable, R , approaches a cut point, c , from either side. Alternative methods target the average treatment effect in a small region around c , at the cost of an assumption that treatment assignment, I R

Suggested Citation

  • Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
    • Handle: RePEc:sae:jedbes:v:45:y:2020:i:2:p:143-174
    DOI: 10.3102/1076998619884904
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    References listed on IDEAS

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    Cited by:

    1. Hao Chen & Dylan S. Small, 2022. "New multivariate tests for assessing covariate balance in matched observational studies," Biometrics, The International Biometric Society, vol. 78(1), pages 202-213, March.
    2. Youmi Suk & Peter M. Steiner & Jee-Seon Kim & Hyunseung Kang, 2022. "Regression Discontinuity Designs With an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English-Language Learners," Journal of Educational and Behavioral Statistics, , vol. 47(4), pages 459-484, August.
    3. Jin‐young Choi & Myoung‐jae Lee, 2023. "Score manipulation, density continuity and intent‐to‐treat effect for regression discontinuity," Pacific Economic Review, Wiley Blackwell, vol. 28(4), pages 552-569, October.
    4. Dean Eckles & Nikolaos Ignatiadis & Stefan Wager & Han Wu, 2020. "Noise-Induced Randomization in Regression Discontinuity Designs," Papers 2004.09458, arXiv.org, revised Mar 2025.

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