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Re: st: MIXLOGIT: marginal effects
From
[email protected] (Brendan Halpin)
To
[email protected]
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.
Brendan
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
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http://teaching.sociology.ul.ie/bhalpin/wordpress twitter:@ULSociology
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