Am 25.03.2021 um 01:47 schrieb Reynaldo Senra:
Dear professor Schreiber,
As may you already saw, my message with the picture made the mail list
far later because as you suspected, the image was more than 100kb.
Right, I was able to take a look in the meantime.
My main interest is the long run and the loading coefficients because
I
am investigating mainly long run causality. However, most papers
applying PMG report the mean group short run coefficients. In fact, I
don't remember any in my field not reporting the mean group short run
coefficients. In addition, I may get some relevant outcomes which can
improve a little bit the quality of the papers as well.
OK, interesting observation that most papers still report the short-run
MG results. Although of course my guess is that they do that because
easy implementations like Eviews print them out and people are simply
afraid to _not_ report them, without any deep reason.
Of course, I can do it in eviews, but I would be very happy if I can
migrate from Eviews. Indeed, as I mentioned some weeks ago, the PMG
package has the very desirable Hausman test and the MG alternative for
the long run coefficients.
Well, to sum up the discussion between Jack and me, for now you should
get the desired results by doing:
meanr(b.fullcoeffs)
(where the "b" name is arbitrary and determined by you as the script
author)
And for the standard errors try this:
sdc(b.fullcoeffs', b.N * (b.N - 1))'
Some zeros will appear there in those places where the homogeneous
long-run coefficients are given. Ignore those.
Hope this works
Sven