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RE: st: RE: income classes as dependent variable


From   "Martin Weiss" <[email protected]>
To   <[email protected]>
Subject   RE: st: RE: income classes as dependent variable
Date   Mon, 15 Dec 2008 15:06:04 +0100

Line for the server...

Re finite mixture models: There was a presentation on the topic in Chicago:
http://www.stata.com/meeting/snasug08/deb_fmm_slides.pdf


HTH
Martin

-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of marcel spijkerman
Sent: Monday, December 15, 2008 3:02 PM
To: stata stata
Subject: RE: st: RE: income classes as dependent variable

Thanks for your replies. I finally programmed the problem as a finite
(2 classes) mixture of normal distributions, using the likelihood
function from the intreg procedure. Results look good. 

Regards,

Marcel


> From: [email protected]
> To: [email protected]
> Subject: st: RE: income classes as dependent variable
> Date: Thu, 11 Dec 2008 15:05:06 +0100
> 
> Line for the server...
> 
> -h intreg- comes to mind...
> 
> HTH
> Martin
> 
> 
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of marcel
spijkerman
> Sent: Thursday, December 11, 2008 2:43 PM
> To: stata stata
> Subject: st: income classes as dependent variable
> 
> Dear Stata users,
>  
>  
> My data set contains data on income and a number of characteristics (age,
> education etc.). I want to explain individual income by the
characteristics.
> Income is not known exactly, it is only known to which income class an
> individual belongs to. I have reasons to believe that income is not
normaly
> distributed. Can I simply use an ordered logit/probit model or should I
use
> another type of model. and if so, do there exist stata modules to estimate
> such model.
>  
>  
> regards,
>  
> Marcel Spijkerman
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