st: Re: AW: Re: AW: treatment effect estimation with an ordinal 1st step and a continuous 2nd step

[박재민 <jpark@konkuk.ac.kr>]

Dear Martin,

I have several dummies in X1 variables and X2 variables.
It looks the presence of xi does not alter the results.

Thanks much for your comments and interest.

Jaemin


----- Original Message ----- 
From: "Martin Weiss" <martin.weiss1@gmx.de>
To: <statalist@hsphsun2.harvard.edu>
Sent: Sunday, July 18, 2010 5:40 AM
Subject: st: AW: Re: AW: treatment effect estimation with an ordinal 1st 
step and a continuous 2nd step


> <>
>
>
> " However, the following syntax
>
> xi: cmp (y1  = x1) (y2 = x2 y1), ind(5 1)"
>
>
>
> What is -xi- good for in your -cmp- call, btw?
>
>
>
> HTH
> Martin
>
>
> -----Ursprüngliche Nachricht-----
> Von: owner-statalist@hsphsun2.harvard.edu 
> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von ???
> Gesendet: Samstag, 17. Juli 2010 22:17
> An: "Martin Weiss"
> Cc: statalist@hsphsun2.harvard.edu
> Betreff: st: Re: AW: treatment effect estimation with an ordinal 1st step 
> and a continuous 2nd step
>
> Dear Martin,
>
> Thanks for your comment.
> It was helpful.
>
> However, the following syntax
>
> xi: cmp (y1  = x1) (y2 = x2 y1), ind(5 1)
>
> where y1 = ordinal numbers like 1, 2, 3, 4
>          y2 = continuous
>
> gives an error sign  like "matrix___00000B not found"
>
> And the program shows (y1 = x1) result only, which is exactly identical to
> the outcome from an (oprobit y1 x1) regression.
>
> Thanks in advance.
>
> Jaemin
>
>
>
>
>
> ----- Original Message ----- 
> From: "Martin Weiss" <martin.weiss1@gmx.de>
> To: <statalist@hsphsun2.harvard.edu>
> Sent: Saturday, July 17, 2010 10:45 PM
> Subject: st: AW: treatment effect estimation with an ordinal 1st step and 
> a
> continuous 2nd step
>
>
> > <>
> >
> > Try
> >
> > *************
> > ssc d cmp
> > *************
> >
> >
> >
> > HTH
> > Martin
> >
> > -----Ursprüngliche Nachricht-----
> > Von: owner-statalist@hsphsun2.harvard.edu
> > [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von ???
> > Gesendet: Samstag, 17. Juli 2010 15:29
> > An: statalist@hsphsun2.harvard.edu
> > Betreff: st: treatment effect estimation with an ordinal 1st step and a
> > continuous 2nd step
> >
> > Hi all!
> >
> > I want to run a treatment effects model.
> >
> > In my case, the 1st step dependent var. is ordinal (for exmaple,
> > "perfectly
> > not matched", "not matched", "matched", and "perfectly matched"), and the
> > 2nd step dependent var. is continuous (for example, wage in log).
> > I have run the similar model using "treatreg" command if the 1st step
> > depednat is binary.
> >
> > Is there any command working in this case.
> >
> > I found "mtreatreg" is available if
> > (1) 1st step dependent var. is multivariate and
> > (2) 2nd step DV is continuous
> >
> > Of course, 1st step ordinal treatment variable should be shown in the 2nd
> > step equation as an independent variable explicitly.
> >
> > P.S.: I don't think running "oprobit" as the 1st step, and insertting IMR
> > from it as independent variable into the 2nd step OLS regression is 
> > valid.
> >
> > Thanks,
> > jaemin
> >
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