st: Local Linear Regression with Covariates - for use with RD design

["Martinez, Erika" <viv3221@ufl.edu>]

Hello All,

I am trying to perform Kernel-weighted local polynomial smoothing 
with multiple independent variables. From what I can find, lpoly 
performs these regressions, however only using a single xvar.  How 
would I implement this in STATA?

My reasoning for doing so is that I am trying to use a regression 
discontinuity design and introduce additional covariates.  I know 
that the use of these covariates will have little effect on the 
estimator but including these variables may help improve precision 
and also eliminate some bias when observations that are not close 
to the cutoff are included in the RD framework.

I would greatly appreciate any help or suggestions. Thanks.


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