Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01v118rh27h
 Title: Local Polynomial Order in Regression Discontinuity Designs Authors: Pei, ZhuanLee, David S.Card, DavidWeber, Andrea Keywords: Regression Discontinuity DesignRegression Kink DesignLocal Polynomial EstimationPolynomial Order Issue Date: Aug-2018 Series/Report no.: 622 Abstract: It has become standard practice to use local linear regressions in regression discontinuity designs. This paper highlights that the same theoretical arguments used to justify local linear regression suggest that alternative local polynomials could be preferred. We show in simulations that the local linear estimator is often dominated by alternative polynomial specifications. Additionally, we provide guidance on the selection of the polynomial order. The Monte Carlo evidence shows that the order-selection procedure (which is also readily adapted to fuzzy regression discontinuity and regression kink designs) performs well, particularly with large sample sizes typically found in empirical applications. URI: http://arks.princeton.edu/ark:/88435/dsp01v118rh27h Appears in Collections: IRS Working Papers

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