Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs

Imbens, Guido; Gelman, Andrew E.

doi:10.1080/07350015.2017.1366909

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Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs

Author(s): Andrew Gelman ¹ , Guido Imbens ² ^, ³

Publication date Created: August 17 2017

Publication date (Electronic): August 17 2017

Journal: Journal of Business & Economic Statistics

Publisher: Informa UK Limited

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Most cited references 7

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Causal Inference for Statistics, Social, and Biomedical Sciences

Guido Imbens, Donald B Rubin (2015)

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Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs

Rajeev H. Dehejia, Sadek Wahba (1999)

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Optimal Data-Driven Regression Discontinuity Plots

Sebastian Calonico, Matias D. Cattaneo, Rocio Titiunik (2016)

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Journal

Title: Journal of Business & Economic Statistics

Abbreviated Title: Journal of Business & Economic Statistics

Publisher: Informa UK Limited

ISSN (Print): 0735-0015

ISSN (Electronic): 1537-2707

Publication date Created: August 17 2017

Publication date (Electronic): August 17 2017

Pages: 1-10

Affiliations

[1 ] Department of Statistics and Department of Political Science, Columbia University, New York, NY, 10027 ()

[2 ] Graduate School of Business, Stanford University, Stanford, CA 94305

[3 ] NBER, Stanford University, Stanford, CA 94305 ()

Article

DOI: 10.1080/07350015.2017.1366909

SO-VID: 72c450b9-3288-41ee-82ae-af15de7ab8a9

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