Re: [Gretl-users] model selection criteria
Sven & Allin,
Thanks for the clarification!
Maybe it's because I'm primarily a time series guy, but my impression is that the
info criteria are primarily used in time series -- before this semester (tomorrow,
actually), I'd never taught them in a cross-section or panel context. Of course
there's no reason not to...
At any rate, I think it'd be better to either a) eliminate that message or b) report
the changes in all the relevant stats (adj-R^2, log-likelihood, & info criteria,
assuming this is feasible). Option a has the advantage (imho) of forcing the user to
confront issues of model specification directly, rather than relying on his/her software
to make the decision. Of course there's always c) go back to referring to
"information criteria" explicitly.
FWIW,
PS
Sent from my iPad
On Sep 29, 2014, at 6:49 PM, Allin Cottrell <cottrell(a)wfu.edu>
wrote:
> On Mon, 29 Sep 2014, Sven Schreiber wrote:
>
>> Am 29.09.2014 um 16:24 schrieb Summers, Peter:
>> Folks,
>>
>> What are the 3 “model selection statistics” that Gretl mentions when
>> doing tests omitting variables? I’m guessing adj. R-squared,
>> log-likelihood & AIC, but what about SC & HQ? Or is she referring to the
>> 3 info criteria?
>
> Yes I would think the latter, AIC and SC and HQ. But I'm not 100% "in
> the know".
Yes, it's the information criteria. But maybe this should be revisited, in terms of
what exact statement is offered and/or which criteria are included (or whether the
statement should just be dropped).
At one time (long ago, and before we calculated the HQC) the Akaike and Schwartz criteria
were explicitly labeled as "Model selection criteria". Now, as Peter's
question implies, it's not so clear what we're talking about in that message.
Allin Cottrell
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