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Re: st: Convergence time of logit with fixed effect
I don't know if anyone has yet replied, but there are a couple of
solutions that may improve performance:
(1) This is not a sign that it will not converge -- you only see up to 2
decimals (the numbers are not the same, and my guess is that the
maximization routine will quit when the gradient is small).
(2) You are allowed to choose maximize options. If you want, you can
set the tolerance. You can also set the max number of iterations to 100
or something, and see what you end up with.
(3) You should not use xi with logit. One reason that stata has an
xtlogit and not an xtprobit, is that you can remove fixed effects in a
logit with preprocessing, much as you remove the FE in a regression my
de-meaning the data by groups. Regression on dummies does not take
advantage of this. Try:
. xtlogit y x1 x2, fe i(x3)
(4) Breaking the process right now will do nothing (you will get no
result). However, you're probably better off breaking it now and trying
other approaches (IMO, but it comes with no warranty.)
Glenn Goldsmith wrote:
Hi Anupit,
This doesn't really answer any of your specific questions, but -help clogit-
might be useful to you as an alternative way of fitting your model.
Glenn.
"Supnithadnaporn, Anupit" <[email protected]> writes:
Dear all,
I run the logit model with some fixed effect using
xi:logit y x1 x2 i.x3
My data is quite large around 686,000 observations.
And x3 has around 700 categories. I use Stata MP on
the server and it has been running for 2 days until now.
The current iteration is 402 but the log pseudolikelihood
does not change from the iteration 31.
Iteration 31: log pseudolikelihood = -149641.22
...
Iteration 402: log pseudolikelihood = -149641.22
Would anybody please advise?
1) Is this a sign that it will not converge?
2) Should I keep waiting? How long should I wait?
3) If I interrupt, will I get any result at all?
Thank you very much,
Anupit
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--
Kyle Hood
Department of Economics
Yale University
New Haven, CT
website: http://www.econ.yale.edu/~kkh25
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