Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


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

Re: st: post-regression diagnostics for LPM


From   Diego Navarro <[email protected]>
To   [email protected]
Subject   Re: st: post-regression diagnostics for LPM
Date   Fri, 8 Apr 2011 11:29:17 -0300

This may be already be outside the scope of your question, but since
probabilities of independent factors multiply, a linear model may work
best with the logarithms, or even better, with log-odds (i.e.
log(p/(1-p)).

This is different from logistic regression and closer to LPM in spirit
because the _dependent variable_ is still raw, needs to be tested for
outside-range values, etc.
*
*   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 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index