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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