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st: Re: counterfactuals


From   Traci A Schlesinger <[email protected]>
To   [email protected]
Subject   st: Re: counterfactuals
Date   Thu, 03 Oct 2002 12:23:39 -0400

thanks to everyone who answered!
It looks like there are a number of ways to solve my problem:  I used the
adjust command, and got exactly what i wanted!
thanks again,
traci

Nick Winter wrote:

> The -adjust- command may be what you are looking for.
>
> Nick Winter
>
> -----------------------------------------------------------
>  Nicholas Winter, Ph.D.                     P 202.939.5343
>  Policy Studies Associates                  F 202.939.5732
>  1718 Connecticut Avenue, NW     [email protected]
>  Washington, DC 20009-1148           www.policystudies.com
> -----------------------------------------------------------
>
> > -----Original Message-----
> > From: FEIVESON, ALAN H. (AL) (JSC-SD) (NASA)
> > [mailto:[email protected]]
> > Sent: Thursday, October 03, 2002 9:36 AM
> > To: '[email protected]'
> > Subject: st: RE: counterfactuals
> >
> >
> > Traci -
> >
> > One way to do this is to take advantage of Stata's -predict-
> > command to do
> > "out-of-sample" predictions. Just create some additional fake
> > observations
> > with the characterisitics you want, but with missing values for the
> > dependent variable. After estimation, the -predict- command
> > will generate
> > predicted probabilities for these fake observations as well
> > as the real
> > ones.
> >
> > Al Feiveson
> >
> > -----Original Message-----
> > From: Traci A Schlesinger [mailto:[email protected]]
> > Sent: Wednesday, October 02, 2002 8:02 PM
> > To: [email protected]
> > Subject: st: counterfactuals
> >
> >
> > dear statalisters:
> >
> > i tried to post this yesterday, but never saw it posted.  i
> > apologize if
> > this is a double post.
> >
> > I have county level data on criminal processing that includes whether
> > the defendant is incarcerated pretrial and / or post-trial, as well as
> > several legal variables regarding the type of offense the
> > individual was
> > arrested for and details of their prior record, and extra-legal
> > variables such as race and age.
> >
> > i have used xtlogit, with county level fixed effects, to analyze this
> > data, with specific interest in the effect of race and ethnicity on
> > criminal processing.  i find that race and ethnicity affects both
> > pretrial release decisions, and the decision to incarcerate given
> > conviction.
> >
> > as a next step, i wanted to create counterfactuals that would look at
> > what the predicted probability of release would be for the black and
> > latino defendants if they were white (e.g. what would be the
> > probability
> > of being granted pretrial release if one had all of the legal
> > characteristics of the black defendants but was white), or put
> > differently, what would be the predicted probability of release for
> > black defendants if the black coefficient equaled zero.
> >
> > i understand how to use the predict command to get predicted
> > probabilities, but don't know how to get predicted values for
> > this type
> > of counterfactual situation.  i have read the manual and the
> > FAQs, but i
> > am still lost.
> >
> > any help would be greatly appreciated!!
> > thanks in advance,
> > traci a schlesinger
> >
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