Re: st: St : Regression discontinuity with Dichotomous dependent variable

[Ayman Farahat <ayman.farahat@yahoo.com>]

HI Nick
This is exactly correct. I am not sure about the polynomial. 

Also, while it is possible to model a 0/1 as a continuous with OLS, there is the risk that i would get values outside the 0/1 range.
Thanks
Ayman




________________________________
From: Nick Sanders <sandersn@stanford.edu>
To: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> 
Sent: Tuesday, January 3, 2012 11:19 AM
Subject: Re: st: St : Regression discontinuity with Dichotomous dependent variable

Hello Ayman,

If I understand, you have a 0,1 variable as your outcome and a continuous running variable. You can do this with standard OLS and it is the classic RD setup. Perhaps your concern is the polynomial choice in the running variable (independent)?

On Jan 3, 2012, at 1:10 PM, Ayman Farahat <ayman.farahat@yahoo.com> wrote:

> Hello; 
> 
> I am working on evaluating a treatment effect. The treatment assignment is based on a regression model that assigns a continuous score. Subjects that have a score greater than the cutoff are treated while those below are not treated. So it fits the RD design framework. 
> 
> However, the dependent variable is not a continuous response but rather a dichotomous variable; did the subject perform a certain action. I am using Austin Nichol's excellent RD package. However, the package assumes that the dependent variable is continuous and uses a polynomial to fit a local regression. 
> 
> Is there a way to extend RD to include dichotomous dependent variables?
> Thanks
> Ayman
> *
> *   For searches and help try:
> *  http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*  http://www.stata.com/help.cgi?search
*  http://www.stata.com/support/statalist/faq
*  http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/