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Re: st: MIXLOGIT: marginal effects

From (Brendan Halpin)
Subject   Re: st: MIXLOGIT: marginal effects
Date   Thu, 09 Feb 2012 09:11:20 +0000

On Thu, Feb 09 2012, Nick Cox wrote:

> I can't readily imagine many
> situations in which I would prefer a linear probability model to a
> logit model, but I still think it's too extreme.

To play devil's advocate, let me mention Mood (2010), who argues that
where unobserved heterogeneity makes it invalid to compare log-odds
estimates sizes across samples, the LPM estimate can be more consistent.


Mood (2010), 'Logistic Regression: Why We Cannot Do What We Think We Can
Do, and What We Can Do About It', European Sociological Review, Volume
26, Issue 1 Pp. 67-82.
Brendan Halpin,   Department of Sociology,   University of Limerick,   Ireland
Tel: w +353-61-213147  f +353-61-202569  h +353-61-338562;  Room F1-009 x 3147    ULSociology on Facebook:         twitter:@ULSociology
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