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Re: st: How to test for difference in predicted prob after prvalue
From |
"Sebastian E. Wenz" <[email protected]> |
To |
[email protected] |
Subject |
Re: st: How to test for difference in predicted prob after prvalue |
Date |
Fri, 07 Dec 2007 00:38:24 -0500 |
Hi Kristin,
as Richard pointed out: sounds like you are interested in the discrete
change effect(s) in the probabilities for "sex" (or whatever the name of
your variable is, e.g. "male" to stick with Richard's example).
You might want to look (again) at page 249 in Long/Freese (2006 [2nd
edition], section 6.6.3). They describe exactly what Richard showed in
his example just for race instead of sex (using options -save- and
-diff- to calculate the discrete change effect).
Note the option -rest()- which allows you to specify different values
for your independent variables. Note further that you will end up with
different results (different magnitude) for the discrete change when
calculating it at different values of your covariates.
Say hi to good old Europe for me,
Sebastian (@IU Bloomington)
Richard Williams schrieb:
At 09:55 PM 12/6/2007, Kristin J. Kleinjans wrote:
Dear Statalist,
I run 'mlogit' and use 'prvalue' to get predicted probabilities of
outcomes for individuals with different characteristics (as described in
Long and Freeses book on regressions for categorical variables).
'prvalue'
also returns the confidence intervals of the predicted probabilities.
I would like to test whether the predicted probabilities of a specific
outcome are different for, let's say, women with the characteristics of
men and average women. I hope somebody can help me on how to do this?
Thanks a lot and best regards,
Kristin
See the help for -prvalue-. The -diff- option might give you what you
want. Look to see whether 0 falls within the confidence interval for
the change; if not, the differences are statistically significant.
Example:
. use "http://www.indiana.edu/~jslsoc/stata/spex_data/ordwarm2.dta"
(77 & 89 General Social Survey)
. quietly mlogit warm yr89 male white age ed prst
. quietly prvalue, x(male=0) delta save
. prvalue, x(male=1) delta diff
mlogit: Change in Predictions for warm
Confidence intervals by delta method
Current Saved Change 95% CI for Change
Pr(y=1SD|x): 0.1311 0.0962 0.0350 [ 0.0094, 0.0606]
Pr(y=2D|x): 0.3952 0.2621 0.1331 [ 0.0935, 0.1726]
Pr(y=4SA|x): 0.0994 0.2484 -0.1491 [-0.1795, -0.1186]
Pr(y=3A|x): 0.3743 0.3933 -0.0190 [-0.0601, 0.0221]
yr89 male white age ed
prst
Current= .39860445 1 .8765809 44.935456 12.218055
39.585259
Saved= .39860445 0 .8765809 44.935456 12.218055
39.585259
Diff= 0 1 0 0
0 0
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
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