ERIC Number: ED578982
Record Type: Non-Journal
Publication Date: 2014-Aug
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs. NBER Working Paper No. 20405
Gelman, Andrew; Imbens, Guido
National Bureau of Economic Research
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.
Descriptors: Regression (Statistics), Mathematical Models, Causal Models, Research Methodology, Research Problems, Computation, Research Design, Error of Measurement, Equations (Mathematics), Statistical Inference
National Bureau of Economic Research. 1050 Massachusetts Avenue, Cambridge, MA 02138-5398. Tel: 617-588-0343; Web site: http://www.nber.org
Publication Type: Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF); Institute of Education Sciences (ED)
Authoring Institution: National Bureau of Economic Research
IES Funded: Yes
Grant or Contract Numbers: N/A
IES Cited: ED576329
Author Affiliations: N/A