Dear Sebastian and Richard,
this works well - thanks a lot for your help.
Best wishes,
Kristin
> 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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>> * http://www.stata.com/support/statalist/faq
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>>
>
> *
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*
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