I would like to better understand the rational for using the following formula for determining the denominator degrees of freedom for the F-test: n(t-1)-(k-1); where n is the number of regions, t the number of years, k the number of parameters, including the constant. I thought that the use of the de-meaned data approach compared to LSDV approach for the fixed effects model would lead to a higher number of denominator degrees of freedom, as suggested in the Gretl Guide, with the following formula: nt-k.
I would greatly appreciate if someone could shed some light on the matter.
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Having installed Gretl 2016c I notice that the User Guide is dated March
2016, as is the Command Reference, Hansl Primer and Package Function Guide.
Are the latest versions not automatically installed on a Gretl upodate?
you were looking for a screencasting tool.
I came across ActivePresenter as screencasting tool. It's free as long as you only output video and it's highly professional.
I used it for a couple of screencasts and it is really comfortable. You can split your video, make certain screens appear longer, highlight and do voice recording afterwards and during capture, as you wish.
Here is the link: http://atomisystems.com/
For anyone interested in working with state space modela via gretl:
please note that we have now replaced the documentation in chapter 30
of the Gretl User's Guide with an account of the new (bundle-style)
interface. We think the new code is now ready to roll, but if anyone
is able to do some testing before the next release -- which should be
in a week or so -- we'd be grateful.
The old Kalman interface is still available for now (but will likely
be removed in the release following the next one). And you can find
the old doc at
In my recent posting at
I wasn't precise enough about the handling of the --band option when
the data are supplied in the form of a matrix or matrices.
In fact, this differs depending on whether you are using the
traditional "gnuplot" command or the new(ish) "plot" block. That's
because in the first case the supplied matrix is treated as a mini
dataset (and you index into it for the columns you want), while with
"plot" an initial matrix argument is taken as the data to plot (no
indexing required, or even permitted).
Anyway, here's an illustrative script (based on one devised by Jack
to point out the problem in my exposition, for which thanks):
scalar n = 20
scalar x = 7.5
matrix A = x ~ seq(1,n)' # the data to plot
matrix B = x ~ sqrt(seq(3,n+2)') # the band information
# block style: you need two matrices with --band
end plot --output=display
# traditional style: you select columns of a single matrix
matrix C = A ~ sqrt(seq(3,n+2)')
gnuplot 1 2 --matrix=C --output=display --band=1,3
The two plots should be identical, but they require slightly
different routes for their production.
Hi everyone. I was wondering if anybody has coded a routine to estimate conditional logits in Gretl. I teach an introductory course one Econometrics and Gretl works perfectly for everything except this. I don't want to use R (again :-)