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

 From 박재민 To "Martin Weiss\"" Subject st: Re: AW: Re: AW: treatment effect estimation with an ordinal 1st step and a continuous 2nd step Date Sun, 18 Jul 2010 05:48:34 +0900

```Dear Martin,

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

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,

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

And the program shows (y1 = x1) result only, which is exactly identical to
the outcome from an (oprobit y1 x1) regression.

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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