Jeph said
Using -xtmixed- to fit a simple random-intercept model (however
on >1million obs) I get:
_xtm_mixed_ll_uu(): 3900 unable to allocate real <tmp>[1569048,51]
_xtm_mixed_ll_u(): - function returned error
_xtm_em_iter_u(): - function returned error
_xtm_em_iter(): - function returned error
<istmt>: - function returned error
r(3900);
I understand that this means Mata ran out of memory, but I'm a bit
puzzled by the explanation of r(3900) that there is nothing I can do-
it's between Mata and the OS (xp, 4gb). Usually when Stata reports
out of memory, I know what I can do (drop variables, compress them,
allocate more). Is it the case here that my model simply requires
a certain matrix of a certain size, and Mata cannot allocate it
because of hardware limitations? Or can I find Mata some more
memory by reducing what Stata needs otherwise? Any insight appreciated.
You're trying to allocate a 1.5 million row x 51 column matrix-- about 80 million elements--which given Mata's 8-bit floating point data type requires about 625 Mb all by itself. Applying this estimator involves, apparently,. a 51 column matyrix, and unless you have that kind of free memory to spare, you can't do it. I imagine in the 32-but XP context that is a hardware constraint that could only be relaxed by moving to a 64-bit OS that knows how to allocate memory.
Kit
Kit Baum, Boston College Economics
http://ideas.repec.org/e/pba1.html
An Introduction to Modern Econometrics with Stata:
http://stata-press.com/books/imeus.html
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