Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down at the end of May, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: XTLOGIT: Predicted Diminishing Returns


From   Dennis Kramer <dkramerii@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: XTLOGIT: Predicted Diminishing Returns
Date   Tue, 17 May 2011 12:37:30 -0400

Greetings,

I am using a --xtlogit-- model to predict the probability of passing
an assessment based on student and teacher absences. I am using the
following commands:

xtset STUDENT_COURSE_ID YEAR
xi: xtlogit Test_Score STD_Absent Tch_Absent STD_TCH_Absence
i.Course_Grade male i.race frl lep migrant gifted CLASS_MEAN i.year,
or

However, I want to get the predicted probabilities of passing for each
individual absence value. Meaning, I want to look at the probability
of passing the test with missing one, two, three, etc days.
Theoretically there must be some diminishing impact on passing as
going from 1 to 2days absent might be more influential then going from
15 to 16 days.

The only way I can conceptualize ascertaining this results (and
graphing) them would be to create a "trick dataset" where I populate
the sample coefficients and run the predictions for _n-1. I assume
there is an easier way; however it is not clear to me.

Any help would be greatly appreciated.

Thank you,
*
*   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/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index