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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