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st: RE: AW: -margins- vs -adjust-

From   "Lachenbruch, Peter" <[email protected]>
To   <[email protected]>
Subject   st: RE: AW: -margins- vs -adjust-
Date   Wed, 4 Nov 2009 08:58:49 -0800

I tried this and it also worked, but race is not dichotomous.  Also, the models are estimating different things.  Has the question been answered?

. tab race

       race |      Freq.     Percent        Cum.
      white |         96       50.79       50.79
      black |         26       13.76       64.55
      other |         67       35.45      100.00
      Total |        189      100.00


Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001

-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Martin Weiss
Sent: Wednesday, November 04, 2009 8:33 AM
To: [email protected]
Subject: st: AW: -margins- vs -adjust-


Works for me in both cases - whether -i.race- or -race- is specified...

webuse lbw, clear

logit low age lwt i.race smoke ptl ht ui
margins, dydx(*)

logit low age lwt race smoke ptl ht ui
margins, dydx(*)


-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Jeph Herrin
Gesendet: Mittwoch, 4. November 2009 17:30
An: [email protected]
Betreff: st: -margins- vs -adjust-

After getting an error with -adjust-, I discovered that it
had been deprecated in version 11. The online help says:

"adjust has been superseded by margins.  margins can do everything
  that adjust did and more."

However, as far as I can tell, this is not the case. I could use
-adjust- with models that did not include factor variables; however,
with -margins- there seems to be no option to find marginal effects
for independent variables that are not i.vars.

Is this true? Or is there a way to fool -margins- into working with
non-factor variables? Apologies if this has come up before, I could
not find anything on the list or FAQ.

If it is true, this is a complete nusiance. I do not normally
include dichotomous variables as factor variables, and am not
interested in starting now. Moreover, I have estimation results
from -xtmelogit- models that ran for days; am I going to have
to re-estimate with -i.female- instead of -female- to get marginal
effects? (-adjust- gives errors). That, or calculate my own
marginal effects from scratch.


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