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"Regression-Discontinuity Design" By Any Other Name Might Be Less Problematic

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  • T.D. Stanley

    (Hendrix College)

Abstract

In "Random Measurement Error Does Not Bias the Treatment Estimate in the Regression- Discontinuity Design : II. When an Interaction Effect Is Present, " Trochim, Cappelleri, and Reichardt claim to "set the record straight regarding the RD design. " Instead, they defend the record of regression discontinuity (RD) and blur the statistical tests for treatment effect. Not withstanding their explicit assertions to the contrary, the Monte Carlo results they report show how the practical application of RD remains problematic and potentially biased. New testing strategies and restrictions for the application of RD are proposed.

Suggested Citation

  • T.D. Stanley, 1991. ""Regression-Discontinuity Design" By Any Other Name Might Be Less Problematic," Evaluation Review, , vol. 15(5), pages 605-624, October.
    • Handle: RePEc:sae:evarev:v:15:y:1991:i:5:p:605-624
    DOI: 10.1177/0193841X9101500505
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    References listed on IDEAS

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    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Joseph C. Cappelleri & William M.K. Trochim & T.D. Stanley & Charles S. Reichardt, 1991. "Random Measurement Error Does Not Bias the Treatment Effect Estimate in the Regression-Discontinuity Design," Evaluation Review, , vol. 15(4), pages 395-419, August.
    3. Stanley, T. D., 1986. "Stein-rule least squares estimation : A heuristic for fallible data," Economics Letters, Elsevier, vol. 20(2), pages 147-150.
    4. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
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    1. Charles S. Reichardt & William M.K. Trochim & Joseph C. Cappelleri, 1995. "Reports of the Death of Regression-Discontinuity Analysis are Greatly Exaggerated," Evaluation Review, , vol. 19(1), pages 39-63, February.

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