Thanks redacted. I will try that out. I don't know if that could change
the result though. I am not sure about the [eq2] part neither. But
given that in the ml program, I use mleval to obtain the intermediate
variables from the parameters as following:
mleval `mu' = `b', eq (1)
mleval `a1' = `b', eq (2) scalar
mleval `a2' = `b', eq (3) scalar
mleval `a3' = `b', eq (4) scalar
mleval `a4' = `b', eq (5) scalar
So I suppose when I want to contrain the parameter of the first cut-off
value as 1.45, I should specify the equation name as eq2 so it is
consistent with the name used in "mleval". Is this right? Or should I
use
constraint 1 [a1]_cons=1.45
instead? Thanks!!
Jinhu
On Wed, 26 Aug 2009 14:52:19 -0700
redacted user <[email protected]> wrote:
> I think that the constraint definition should be
>
> constraint 1 [eq2]_cons=1.45
>
> That is, it should not include the word "define."
>
> I'm not sure about the [eq2] part. I'm still working on ml stuff
> myself...
>
>
> > From: [email protected]
> > Subject: st: putting constraint on self-written program using ml d0
> > To: [email protected]
> > Date: Wed, 26 Aug 2009 16:54:06 -0400
> >
> > Hi all,
> >
> > I wrote a program using ml package with d0 method. The purpose of
> the
> > program is similar with the ordered probit regression command
> oprobit.
> > After I define the program, I would like to impose some constraints
> on
> > the parameter of the cut-off values. E.g. I use ml model as
> >
> > ml model d0 etai (hlthc=age gender index, nocons) /a1 /a2 /a3 /a4,
> > constraint (1)
> >
> > where a1 a2 a3 a4 are four seperate equations defined in the
> program to
> > substitute in four cut-off values with "mleval" (we have 5 outcomes
> of
> > y in the data). How can I define the constraint? When I tried
> >
> > constraint 1 define [eq2]_cons=1.45
> >
> > or
> >
> > constraint 1 define [eq2]a1=1.45
> >
> > it gave me some error message. Do you know the reason for this?
> Thanks
> > a lot!
> >
> > Jinhu
> > *
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