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

["Martin Weiss" <martin.weiss1@gmx.de>]

<> 

" mata: mata mlib index"



Doesn`t do any good for me. I have 


. which cmp
c:\ado\plus\c\cmp.ado
*! cmp 3.6.0 5 July 2010
*! David Roodman, Center for Global Development, Washington, DC, www.cgdev.org
*! Copyright David Roodman 2007-10. May be distributed free.


Anyway, would I be able to tell from the help file that I need to -mata: mata mlib index-???



HTH
Martin


-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Tirthankar Chakravarty
Gesendet: Samstag, 17. Juli 2010 22:46
An: statalist@hsphsun2.harvard.edu
Betreff: Re: st: AW: Re: AW: treatment effect estimation with an ordinal 1st step and a continuous 2nd step

Martin,

That example runs without problems. You might want to try

mata: mata mlib index

before you run that example.

T


2010/7/18 Martin Weiss <martin.weiss1@gmx.de>:
>
> <>
>
>
> " 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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>>
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>>
>
>
> *
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-- 
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