On Thu, Jul 24, 2025 at 4:31 PM Sven Schreiber
<sven.schreiber(a)fu-berlin.de> wrote:
with a recent snapshot I'm seeing weird behavior when playing around
with the relatively new auto-omit option through BIC. Sorry, I cannot
provide a self-contained example with public data yet. This is with
7-days-daily data.
First, what I'm seeing is that with --auto=BIC the constant term is
eliminated. It doesn't do that with --auto=0.05 and in this data it
doesn't seem to make sense. I thought that the constant is always kept,
at least per default?
Along the elimination sequence I'm seeing: " Drop const BIC = 1.#QNAN"
... this already looks fishy, something going wrong here? There are more
lines with the BIC = 1.#QNAN value.
And then at the end gretl tells me:
"Test statistic: F(30, 128) = 157.789, p-value 5.72395e-087
Omitting variables improved 0 of 3 information criteria."
Needless to say, the resulting model is very dubious.
Maybe this information already helps a little to diagnose the problem.
Not much, I'm afraid. If you can't share the data, please at least
show the specification and output from the original regression, and
the full output from "omit". Thanks.
Allin