Stata The Stata listserver
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

st: (No Subject)

From   "tom blade" <[email protected]>
To   [email protected]
Subject   st: (No Subject)
Date   Sun, 06 Apr 2003 14:15:34 -0400

Dear all,

In STB-53 (clogit, pp.22-23)it is said that conditional logit seeks to fit a model that
explains "why observation 1 had a positive outcome in
group 1 conditional on ONE of the observations in the
group having a positive outcome". However, in clogit
help, it is said that in the case of k(1i):k(2i)
matching, clogit uses a recursive algorithm to
compute the likelihood (so it can solve models which
are not restricted on only ONE positive outcome per

1) Am I right in saying that clogit (or xtlogit, fe) can estimate a model where there are SEVERAL ones and zeros for the same group (not just conditioning in
only ONE positive result in each group)?

2) It is only the predicted probability which is
conditional on there being only ONE outcome per group?

Thanks to all in advance!


Need a new email address that people can remember
Check out the new EudoraMail at
*   For searches and help try:

© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index