1) I agree in that firstobs() and lastobs() may restrict their checks to
the current sample range.
2) With respect to comments from Jack and Sven, I agree with Sven in
that normally if you work with time series
you will have contiguous data. There is no need to check for missing
data inside your current sample, because what if you have any?
gretl will manage this observation as an NA and you will see the effect
in your results, or maybe you will obtain an error in your subsequent
calculations and you will have the oportunity to have that into account.
3) But I think we should have a lot of care with backward incompatible
changes. I found in some cases that my old (working) scripts does not
work now, and in such a case you have to loose a lot of time making them
to work.
4) I have been using lately cross section data (which by the way is very
rare on me), and I admit the relevant command in this case is
"smpl --no-missing"
in my case, using the option "smpl --no-missing list_of variables" was very
useful.
--
Ignacio Diaz-Emparanza
DEPARTAMENTO DE ECONOMÍA APLICADA III (ECONOMETRÍA Y ESTADÍSTICA)
UPV/EHU Avda. Lehendakari Aguirre, 83 | 48015 BILBAO
T.: +34 946013732 | F.: +34 946013754
www.ea3.ehu.es