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Re: st: series of teffects on multiple outcomes
From
William Buchanan <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: series of teffects on multiple outcomes
Date
Fri, 6 Sep 2013 17:12:39 -0500
You should be able to do this with some of the user-written PSM/PSA programs. Additionally, you could always do things manually; there are examples on the UCLA website for Murnane, R. J., & Willett, J. B. (2010) Methods matter: Improving causal inference in education and social science. New York City, NY: Oxford University Press.
HTH,
Billy
Sent from my iPhone
On Sep 6, 2013, at 15:51, László Sándor <[email protected]> wrote:
> Hi,
>
> I wonder if I could make it faster to -teffects aipw- multiple outcome
> variables one after another. If I am correct, the regression
> adjustment need to be rerun for different outcomes, but the treatment
> prediction need not be. Is there a way to leverage one run for
> another?
>
> What I have in mind is, in "pseudocode":
>
> teffects aipw (outcome1 controls) (multilevel_treatment predictors), SAVEPW
> teffects aipw (outcome1 controls) (), USEPW
>
> Thanks,
>
> Laszlo
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