see below..
On Mon, 6 Jan 2003, sabri boubaker wrote:
Dear Professor King,
I am a PhD student in Finance at Paris XII University. I am estimating a
Relogit regression of the determinants of firms use of non-voting
traded shares (11 firms use such device out of 510 firms included in the
sample).
I would like to know:
1/ if there is a way to compute Pseudo R2 with Relogit? If not, should I
consider the Pseudo R2 from ordinary logit conducted on the same
variables that are used in the Relogit?
you could do this by hand, but it would probably not be appropriate. if
you want the best fitting regression, just run logit. the problem is that
the best fitting regression is also bias. so you have to take less fit
(which after all is not a principle of inference and so not particularly
relevant) to reduce bias. Basically, i wouldn't worry about it.
2/ How to get the marginal effects after running Relogit?
better than marginal effects are first differences, which are exact.
Relogit will compute these in the same way as clarify.
I would greatly appreciate your help in this regard.
Best of luck with your research,
Gary King
: Gary King, King(a)Harvard.Edu
http://GKing.Harvard.Edu :
: Center for Basic Research Direct (617) 495-2027 :
: in the Social Sciences Assistant (617) 495-9271 :
: 34 Kirkland Street, Rm. 2 HU-MIT DC (617) 495-4734 :
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