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Re: [Fwd: st: AW: GLM family and link (default)]
From
Maarten buis <[email protected]>
To
[email protected]
Subject
Re: [Fwd: st: AW: GLM family and link (default)]
Date
Mon, 14 Jun 2010 13:08:53 +0000 (GMT)
--- On Mon, 14/6/10, [email protected] wrote:
> They are not 33 observations but these are the remaining...
It doesn't matter how large your dataset is, all that counts
is how many observations are used in your estimation, and
that is 33 (and only 22 in your probit model), which is a
major problem when you want to estimate 13 parameters. Anyhow,
the linear probability model is not the most obvious solution
to your problem:
First, simplify your model by using much less variables,
I'd say an absolute maximum of 3 variables (10 obs per
variable).
Second, use -exlogisitc- if you want to retain the variables
that perfectly predict your outcome, which as I stated before
was the reason that your -probit- model was mis-behaving.
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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