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re: Re: st: MIXLOGIT: marginal effects
From
Christopher Baum <[email protected]>
To
"[email protected]" <[email protected]>
Subject
re: Re: st: MIXLOGIT: marginal effects
Date
Thu, 9 Feb 2012 09:17:11 -0500
<>
Brendan said
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.
To be pedantic (hey--it's my day job): for an econometrician, consistency is analogous to pregnancy:
you are or you aren't. You often see discussions of relative efficiency, but I've never heard anyone
argue for relative consistency.
Kit
Kit Baum | Boston College Economics & DIW Berlin | http://ideas.repec.org/e/pba1.html
An Introduction to Stata Programming | http://www.stata-press.com/books/isp.html
An Introduction to Modern Econometrics Using Stata | http://www.stata-press.com/books/imeus.html
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