Why High-order Polynomials Should not be Used in Regression Discontinuity Designs
Andrew Gelman and
Guido Imbens
No 20405, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
It is common in regression discontinuity analysis to control for high order (third, fourth, or higher) polynomials of the forcing variable. We argue that estimators for causal effects based on such methods can be misleading, and we recommend researchers do not use them, and instead use estimators based on local linear or quadratic polynomials or other smooth functions.
JEL-codes: C01 C1 (search for similar items in EconPapers)
Date: 2014-08
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Published as Andrew Gelman & Guido Imbens (2017) Why high-order polynomials should not be used in regression discontinuity designs, Journal of Business & Economic Statistics, DOI: 10.1080/07350015.2017.1366909
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