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Re: st: prvalue after gologit2
From
Richard Williams <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: prvalue after gologit2
Date
Sat, 20 Jul 2013 23:51:21 +0200
I am out of the country and can't check everything out, but a few thoughts:
gologit2 does not support the svy: prefix command but it does support an svy option. See the help.
You could just explicitly specify the values for the rest of your values, e.g. Compute the weighted means first and then set x3 and x4 to those values.
You can probably use the margins command. It is a little tedious because gologit2 does not support factor variables and (just like ologit and mlogit) you have to write a separate command for each outcome.
Sent from my iPad
On Jul 20, 2013, at 6:25 PM, Francesco Acciai <[email protected]> wrote:
> After I run a gologit2 model (using sampling weights) I use the command prvalue to get the expected probabilities.
> However, the system holds all variables at their unweighted means, while I would like to use the weighted means.
>
> This is my syntax:
>
> xi: gologit2 Y i.x1 i.x2 x3 x4 [pw=WEIGHTS], autofit(0.001)
>
> prvalue, x(x1_2=0, x1_3=0) rest(mean)
> prvalue, x(x1_2=1, x1_3=0) rest(mean)
> prvalue, x(x1_2=0, x1_3=1) rest(mean)
>
> x1 is a variable indicating the region of residence. I would like to get the expected probabilities for the same person (an hypothetical person with a fixed set of characteristics, corresponding to the "average" person in my sample), across these three regions of residence.
>
> I saw another inquiry about holding variables to weighted means with prvalue but here prvalue is run after gologit2, which doesn't allow the use of the command "svy".
>
> So, my question is: how can I set all the variables at their weighted means when using "prvalue" after "gologit2"?
>
> Thank you very much,
> Francesco.
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