Sven
PS -perhaps it might be possible (if I knew where the forecast data table
was stored, ) to delate the first Y value in each panel for the purpose of
inserting a blank ie discontinuity/break in what the graphics function
interprets as a continuous series instead of 10 time series of the same
same variable relating to different panel units..
Brian
Professor Emeritus (Agricultural Economics)
Harper Adams University UK
Current Chair of Defra Economic ADvisory Panel
Former President Agricultural Economics Society
Tel: home 01952 728153 Mobile 07976 538712
Address: Orchard Croft,
On Wed, 28 Feb 2024 at 13:50, Sven Schreiber <sven.schreiber(a)fu-berlin.de>
wrote:
Am 28.02.2024 um 09:37 schrieb Brian Revell:
There is an irritation in using the Forecast Function in Analysis in that
it treats Panel data as a continuum between adjacent panel units in
plotting by observation number sequence. So as illustrated below, there are
21 annual observations in Panel 1 ending in 2021. However the forecast
funtion treats this as as a observation continuum from 1:21 to 2:01(year
2001) and plots an irritaing line between1:21 and 2:01......and similarly
between all the adjacent 10 Panel Units. Is there anyway to suppress this
joining line, as the forecast graph plots beautiful CI shaded areas.
The workaround is to transfer the data to Excel -but that does not
provided a shaded 95% CI -which is clearly more elegan -only the ability to
plot the Upper and lower CI bounds as lines..
Hi Brian,
I tried to run a forecast on the grunfeld example panel dataset shipped
with gretl. I restricted the sample to leave out the last two time periods,
to save them for forecasting, and then estimated a trivial
dynamic/reduced-form fixed-effects regression with "invest" as the dep.
variable. (Let's ignore the Nickell bias issues for this example.) No
contemporaneous variables, but in the model window under the Analysis menu
the "Forecasts..." entry was still greyed out, so I couldn't cross-check
what you described.
So, it would be helpful if you could describe how exactly and with what
data you produced your forecasts.
thanks
sven
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