[Gretl-users] Re: dbnomics without getting all the metadata?
No I did not see your follow-up til yet, Allin!
That`s realy great that you found a way to increase the speed of the
planned version of dbnomics 0.41. I will be very curious to run it!
Concerning the raised issue of data ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z
I reconized that I wrote the sequence of the opening comands totaly
wrong. See my comment below.
But funny it works fine with dbnomics 0.2 in gretl 2018c. ...Good for
someone like me who has almost no knowledge in computer programming anymore.
Klaus
Am 30.03.2021 um 17:07 schrieb Allin Cottrell:
On Tue, 30 Mar 2021, klaus.hasenbach(a)web.de wrote:
> Thank`s Allin!
>
> Now it is obvious that the slow speed of dbnomics 0.4 with or without
> metadata is related to the fact that both are using same new API of
> dbnomics. [...]
Klaus, did you see my follow-up? The dbnomics API is not the primary
issue with the speed problem, which I think is now solved.
> Same problem with the failed statement of a single request as I just
> figured out: The installed version of dbnomics 0.4 needs a correct
> stated dataset. Monthly data like ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z
> runs only with a monthly dataset and not with a quaterly dataset. My
> installed version of dbnomics 0.2 in gretl 2018c runs with both datasets
> without an error.
Not sure I'm understanding the problem. Below are three variants of
loading the series ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z, all working
here with gretl's dbnomics 0.41.
# (1) let the dbnomics import create a monthly dataset
clear
open dbnomics
data ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z
smpl
# gives: 1993:01 - 2021:02 (n = 338)
# (2) start with a correctly sized monthly dataset
clear
nulldata 338
setobs 12 1993:01
open dbnomics
data ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z
start with a quarterly dataset (automatic compaction)
clear
nulldata 112
setobs 4 1993:1
open dbnomics
data ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z
smpl
# gives: 1993:1 - 2020:4 (n = 112)
# Allin, put "open dbnomics" to the top and don`t use
"clear" then it
will produce the mentioned error in dbnomics 0.4 with gretl 2021a, not
so in 0.2 with 2018c (it is not because the wrong frequecy as I
thought before) !!!
open dbnomics
nulldata 112
setobs 4 1993.1
data ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z
Allin
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