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Re: st: Multinominal logit. Marginal effects with non-linear terms.


From   "T.de Hoop" <[email protected]>
To   [email protected]
Subject   Re: st: Multinominal logit. Marginal effects with non-linear terms.
Date   Tue, 19 Jun 2007 12:16:38 +0200

I have two questions:
1. You have an y as dependent and an y as independent variable. Is that
a typo, or are you adding lagged y?

Sorry, this is a typo.
2. In this case correct marginal effects has been used in different
ways in the literature. First, it can refer to not ignoring the square
or interaction terms. Second, it can refer to computing the average
marginal effects, instead of the marginal effect at average values of
the explanatory variables. Which do you mean?

I'm looking for the marginal effects at the mean values of the explanatory variables. I assume this can only be done using the first method wherein I do not ignore the square or interaction terms.




Maarten buis schreef:

--- "T.de Hoop" <[email protected]> wrote:

I'm running an mlogit regression of this form:
y=a+b.x+c.x2+d.y+e.z+f.(y.z)+u
and I would like to know if any of the marginal effect commands can
help me to get the correct marginal effects for the variables x and
y, including the square term and the interaction. Do I have to do it
by hand otherwise??
I have two questions:
1. You have an y as dependent and an y as independent variable. Is that
a typo, or are you adding lagged y?

2. In this case correct marginal effects has been used in different
ways in the literature. First, it can refer to not ignoring the square
or interaction terms. Second, it can refer to computing the average
marginal effects, instead of the marginal effect at average values of
the explanatory variables. Which do you mean?

Maarten


-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------





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