If one puts in "if race<3" you get the same model and the margin,dydx(*) command gives the same results.
Tony
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 Lachenbruch, Peter
Sent: Wednesday, November 04, 2009 8:59 AM
To: [email protected]
Subject: st: RE: AW: -margins- vs -adjust-
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
Tony
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(*)
*************
HTH
Martin
-----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"adjust has been superseded by margins.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.
cheers,
Jeph
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
