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st: RE: firm survival analysis--non-continuous time


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: firm survival analysis--non-continuous time
Date   Mon, 18 Apr 2005 21:50:46 +0100

See [ST] discrete and the works of Stephen Jenkins. 
That said, it's not clear that the discreteness is 
that crucial here. 

Nick 
n.j.cox@durham.ac.uk 

Shon Hiatt
 
> BACKGROUND
> I have data on 1000 small firms from a survey that was administered in
> 1990.  The survey had 140 questions answered by the entrepreneurs
> themselves.
>  
> That same interview was administrered exactly a year later in 1991 to
> only those firms who survived/continued from the original 1000
> (N=600).
>  
> The interview was again administered three years later in 1994 to
> firms that continued to exist from the original 1000 (N=350).
>  
> I don't have information of when the firms disappeared/died; I only
> know that at some point between the administration of the 1st and 2nd,
> and the 2nd and 3rd surveys that some disappeared.  There is a firm
> identification number to track the firms that survived. I also don't
> have data on firms that disappeared--only on those that survived.
>  
> I am using the variables to explain survival. 
>  
> QUESTION:
> What is the best way to go about a survival analysis like this where 
> Time=1, 2, 4 and I don't know eactly when the firms disappeared
> between the time intervals?

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