Am 12.01.2022 um 17:33 schrieb Sven Schreiber: > Hi, > I'm looking at the Bundesbank (BUBA) datasets through gretl's DB.NOMICS > addon. (Snapshot from two weeks ago.) Another remark on what this snapshot report, although not related to dbnomics: It says under Help/Look for Updates "the newest available version is 2021b" ?!

On 12/01/2022 17:33, Sven Schreiber wrote: > Hi, > I'm looking at the Bundesbank (BUBA) datasets through gretl's DB.NOMICS > addon. (Snapshot from two weeks ago.) Hi Sven, this should be ok, because the BBK01 is a generic prefix used for various different time series across multiple statistics. Using the key from dbnomics, you should be able to find the same time series key also in the Bundesbank time series database. For example: https://db.nomics.world/BUBA/BBK01/AU1734 should be equivalent to this series https://www.bundesbank.de/dynamic/action/en/statistics/time-series-databa... Currently, when creating new time series codes, we (the Bundesbank) normally follows the SDMX standard. If you find that some of the data is not available, please just get back to me.

Am 12.01.2022 um 19:08 schrieb Johannes Lips:2 > this should be ok, because the BBK01 is a generic prefix used for > various different time series across multiple statistics. > Using the key from dbnomics, you should be able to find the same time > series key also in the Bundesbank time series database. > For example: > https://db.nomics.world/BUBA/BBK01/AU1734 > should be equivalent to this series > https://www.bundesbank.de/dynamic/action/en/statistics/time-series-databa... > > > > Currently, when creating new time series codes, we (the Bundesbank) > normally follows the SDMX standard. > > If you find that some of the data is not available, please just get back > to me. > Thanks Johannes, let me also give an example, but where the problem is the other way around apparently (i.e., gretl is on the working end of affairs). Specifically, I'm talking about net financial wealth (Nettogeldvermögen) of (German) private households in the old ESA95 system. Here's the place on the Bundesbank website to where I have clicked my way through the database jungle: https://www.bundesbank.de/dynamic/action/de/statistiken/zeitreihen-datenb... The funny thing is, I get no data displayed and an error saying "Die Zeitreihe ist nicht gültig oder nicht verfügbar." (Invalid or not available.) However, now with the updated dbnomics 0.43 in gretl I am able to access BUBA/BBK01/CE3K0I alright, with data from 1991Q1 through 2014Q4, as it should. What's the point here? Well, two things: - The Bundesbank dataset Finanzierungsrechnung (financial flows) does not seem to live in dbnomics directly (or does it?). Instead one has to go to the catch-all BBK01 and know the code from other sources. Then it works fine, though.

- The Bundesbank web page data access has some gaps which do not seem intended. thanks sven _______________________________________________ Gretl-devel mailing list -- gretl-devel(a)gretlml.univpm.it To unsubscribe send an email to gretl-devel-leave(a)gretlml.univpm.it Website: https://gretlml.univpm.it/postorius/lists/gretl-devel.gretlml.univpm.it/

Hi, I'm looking at the Bundesbank (BUBA) datasets through gretl's DB.NOMICS addon. (Snapshot from two weeks ago.) I'm noticing that some datasets are apparently duplicated or even quadrupled: - BBK01: appears 4 times - BBNZ1 (National Accounts...): appears twice Is this expected?

On Wed, 12 Jan 2022, Sven Schreiber wrote:

> I'm noticing that some datasets are apparently duplicated or even > quadrupled: > - BBK01: appears 4 times > - BBNZ1 (National Accounts...): appears twice This is a quirk of the Bundesbank provider. There's no bug in this respect on the gretl end. The error on trying to access the list of series under BUBA/BBK01 was due to another Bundesbank quirk, namely that the series under BBK01 (and maybe others, I don't know) do not have a "series_name" recorded in the JSON from dbnomics. That's handled in version 0.43 of the gretl dbnomics addon: if there's no series_name we'll use the series_code instead.

Let me add: in my opinion the dbnomics label "series_name" is misleading. When this element is present (almost always, except for BUBA, so far as I can tell) it's not what I would think of as a name, but rather a (typically quite verbose) description. Here's an example from a BDF (Banque de France) series, misspelling and all: "series_code" : "SC1.M.FR.1000.F51100.M.X.EUR.E.S", "series_name" : "Net issues of quoted shares (including contributions in kind), ESA 95 valuation, Seasonnally adjusted"