Am 02.12.2020 um 17:04 schrieb Brian Revell:
Hi Sven
progress - I have managed to get the Script to run with *time *as
indep var
Yes, previously you said you had created the variable "Year",
but it was
unknown to gretl so I'm not sure what you did. In a time-series dataset
you can use the generic predefined special variable "time" as you did,
or if you want to really aim for the year for example also in a
quarterly or monthly dataset you could grab the series dollar-style
accessor "$obsmajor" (see the function reference for the dollar accessors).
So is there a way to increase the max no. of iterations in the MLE
routine?
In principle you can manipulate that via a line such as "set
bfgs_maxiter 1000". See the doc for the "set" command. The background is
that MLE in gretl uses the BFGS optimizer (don't know right now if this
is mentioned in the guide, but it is in the "set" help).
However...
Full data range: 2002 - 2024 (n = 23)
Current sample: 2002 - 2019 (n = 18)
you have a pretty small sample. This is probably not large enough to
work with time-varying stuff and expect reasonably identified results.
This could also explain the convergence problems (among other reasons).
So I wouldn't be surprised if increasing the iterations doesn't help.
But you might as well try.
cheers
sven