It is not difficult to simulate the conditional logit probabilities by "hand"
with stata (though it's difficult to get the output to look as nice). Once you get
started you'll soon realize why it is difficult for a general program like Clarify to
simulate conditional logit probabilities-- because stata requires the data to be organized
in a quite different way compared to other models.
Katherine M. Harris, Ph.D.
Office of Applied Studies
Substance Abuse and Mental Health Services Administration
5600 Fishers Lane, Rm 16-105
Rockville, MD 20857
Phone: 301.443.0747
Fax: 301.443.9847
email: kharris(a)samhsa.gov
>> Gary King <king(a)harvard.edu> 05/13/04
03:18PM >>>
not any automatic way. This model would need to be added to Clarify. Or
you could simulate the parmaeters 'by hand' and then compute the quantity
of interests from there, which is basically what Clarify does.
Gary
: 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 :
: Harvard U, Cambridge, MA 02138 eFax (617) 812-8581 :
On Thu, 13 May 2004, Jose A. Aleman wrote:
Dear clarify team,
I am trying to use the xtnbreg (conditional fixed effects negative
binomial) stata command with clarify, but I'm told by the program that this
model is not supported. The alternative, nbreg (the negative binomial
model), which is supported, yields very different results. The pattern of
dispersion in event count data is very different for each unit, and thus I
am hesitant to use nbreg, a very different model. Is there any way to get
around this problem under clarify and retain the original model?
Thank you,
Jose Aleman
PhD Candidate
Politics Department
130 Corwin Hall
Princeton, NJ 08544
609.937.0190
609.258.2147
<http://www.princeton.edu/~jaaleman>
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