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

From   Marcello Pagano <>
Subject   Re: st: RE: firm survival analysis--non-continuous time
Date   Mon, 18 Apr 2005 17:08:26 -0400

You have interval censoring.  Search for that.


Nick Cox wrote:

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

I have data on 1000 small firms from a survey that was administered in
1990. The survey had 140 questions answered by the entrepreneurs

That same interview was administrered exactly a year later in 1991 to
only those firms who survived/continued from the original 1000

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.
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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