Marginal effects in negative binomial

An embedded and charset-unspecified text was scrubbed...
Name: not available
URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20081028/73fd1326/attachment.pl>
Dear Roberto,

It depends on what you mean by "marginal effects," but the effects package
will calculate what I would prefer to call "partial effects" for terms in a
generalized linear model; it should work fine with objects produced by
glm.nb.

I hope this helps,
 John

------------------------------
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On
Behalf Of Roberto Patuelli
Sent: October-28-08 7:25 AM
To: r-help at r-project.org
Subject: [R] Marginal effects in negative binomial

Dear All,

I carry out negative binomial estimations using the glm.nb command from
the
MASS package.
Is there a command or a simple procedure for computing marginal effects
from
a glm.nb fitted object?
If these are the same as for a Poisson fitted object (glm), my question
remains how to compute them.

Thanks in advance for your help.
Roberto Patuelli

********************
Roberto Patuelli, Ph.D.
Post-doc researcher
Institute for Economic Research (IRE)
University of Lugano (USI)
via Maderno 24, CP 4361
CH-6904 Lugano
Switzerland
Phone: +41-(0)58-666-4166
Email: roberto.patuelli at lu.unisi.ch
********************
	[[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.