As mentioned in the long discussion of feature request #100 (https://sourceforge.net/p/gretl/feature-requests/100/?page=1), we shall not forget to document / explain why and how the unbalanced Nerlove RE method is calculated as the original paper only treats the balanced version. SAS seems to implement an unbalanced version of it too, but it seems a little unclear whether one takes the mean or weighted mean of the fixed effects.
KTTK, would it perhaps be possible for you to write one or two paragraphs about this for inclusion in the docs? I could eventually look for the right place in the guide and maybe make the final edits, but some input would be very useful.
thanks,
sven
Sven, I don't really feel qualified for this. What I think should be covered about Nerlove's method is:
1) original paper only treats the balanced case
2) gretl implements "something" for the unbalanced case: document what it does (mean or weighted mean) and - if possible - why (natural extension? additional Monte Carlo simulations?).
3) mention that the unbalanced case is not in the literature (AFAIK)
4) maybe as a footenote: SAS also implements the unbalanced case (in the same way? their documentation, albeit giving formulae, is often wrong).
Last edit: KTTK 2017-11-06
Could somebody confirm (or contradict) that it would basically be enough to mention Allin's gretl WP about that issue? (https://econpapers.repec.org/paper/ancwgretl/4.htm)
If so, a footnote in the docs would be enough.
thanks,
sven
Well, citing the paper and saying what gretl does and why (because neither the original paper nor the literatur provide an unbalanced version of Nerlove's method (best to my knowledge)). A sentence or a footnote will do.
Am 21.05.2018 um 13:20 schrieb KTTK:
thanks,
sven
The paper contains all information. However, I would love to see an informative sentence and then a footnote to the paper. How about:
"As neither the original paper by Nerlove (1971) nor general literature treat Nerlove's method in the unbalanced case, gretl uses the weighted average of the fixed effects as a natural extension of the method in case of an unbalanced data set." Footnote: ´"For details see [Allin's WP]."
[I had already replied from the mail program, but this time the quote formatting apparently wasn't recognized by sourceforge's tracker system, so it never appeared here. I wrote:]
Thanks a lot for this constructive suggestion! I will integrate it soon. (Anybody who thinks the sentence is misleading, please speak up.)
cheers,
sven
Closing this as the documentation had already been added end of May.
Really? I can't seem to find it. Maybe I am looking at the wrong file? Is this the path to the latest version of the manual? https://sourceforge.net/projects/gretl/files/manual/gretl-guide.pdf/download
Can you check, please?
Am 28.07.2018 um 15:01 schrieb KTTK:
cheers,
sven
Sven,
That paragraph just speaks to the unbalanced version of the Swarmy-Arora estimator. It does not cover how gretl extended the original Nerlove estimator to the case of unbalanced panels. (This is probably why this ticket was not closed end of May?)
So my suggestion is to place the paragraph that is currently there directly under formula (20.17), then continue with the text for the Nerlove estimator which is already there ("Alternatively, ...") and then plug in my sentence from this ticket (or some similar sentence).
Last edit: KTTK 2018-07-29
Am 29.07.2018 um 16:21 schrieb KTTK:
Am 01.08.2018 um 11:31 schrieb Sven S.:
I have just pushed to git the following amendment, just in time for
release I guess:
"Unbalancedness also affects the \cite{nerlove71} estimator, but the
econometric literature offers no guidance on the details. Gretl
uses the weighted average of the fixed effects as a natural extension
of the original method. Again, see \cite{cottrell17} for further details."
Hope that settles things.
thanks,
sven