st: RD and binary outcomes

[D-Ta <altruist81@gmx.de>]

Dear Stata-Users,

I am currently working with the RD command provided by  Austin Nichols. 
I investigate continous as well as binary outcome variables. I use cubic 
and quartic parametric models as benchmarks to compare the RD results 
against.

In the case of continous variables the RD command does fine (i.e. very 
close to the parametric model with even smaller standard errors). 
However, when looking at binary outcomes, the RD procedure produces much 
wider standard errors and the point estimates differ a lot from the 
parametric (probit) specifications.

I assume that this is due to the underlying local linear model used by 
RD. (Perhaps it would be better to use a local logit(?))

Am I right that -in its current format- the RD command is not the right 
tool to use in case of binary outcome variables?

Many thanks

Darjusch
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