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Optimal Bandwidth Choice for the Regression Discontinuity Estimator / Guido Imbens, Karthik Kalyanaraman.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Imbens, Guido.
Contributor:
National Bureau of Economic Research.
Kalyanaraman, Karthik.
Series:
Working Paper Series (National Bureau of Economic Research) no. w14726.
NBER working paper series no. w14726
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2009.
Summary:
We investigate the problem of optimal choice of the smoothing parameter (bandwidth) for the regression discontinuity estimator. We focus on estimation by local linear regression, which was shown to be rate optimal (Porter, 2003). Investigation of an expected-squared-error-loss criterion reveals the need for regularization. We propose an optimal, data dependent, bandwidth choice rule. We illustrate the proposed bandwidth choice using data previously analyzed by Lee (2008), as well as in a simulation study based on this data set. The simulations suggest that the proposed rule performs well.
Notes:
Print version record
February 2009.

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