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Professional user requirements of statistical dissemination

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Title: Professional user requirements of statistical dissemination


1
Professional user requirements of statistical
dissemination
  • Comments on the papers to Session 1 of the 91st
    DGINS Conference, Copenhagen, 26 to 27 May 2005
    Heinrich Brüngger, UNECE

2
Professional Users
  • In what way is dissemination to professional
    users different from the dissemination to
    non-professional users?
  • Less or no metadata? (Nødgaard metadata are
    equally important for professional users)
  • Advance release? (not in line with fundamental
    principles)
  • Dissemination through on-line accessible
    databases intended only for professional users?
    (less and less the case)
  • Tailor-made (user-defined) statistical services
    provided in addition to access to official
    results only for professional (government) users?

3
Professional Users (ctd.)
  • Professional users are consulted more regularly
    and more systematically about decisions to be
    taken by statisticians concerning
  • Statistical programmes in terms of coverage,
    breakdown and periodicity
  • New series (incl. provisional results)
    discontinuation of old series
  • Timeliness
  • Reconstruction of long series after
    methodological changes
  • Products to be disseminated and user-friendliness
    of dissemination/access

4
Professional Users (ctd.)
  • How do we organise the communication with
    professional users to get a good feed-back
  • At national level statistical committees and
    similar groups, for the whole system and by
    subject area, as well as many direct contacts
  • At European level internal users, or users that
    at the same time producers, are clearly
    privileged in terms of possibilities of regular
    feed-back

5
Professional Users (ctd.)
  • What type of questions do we ask them, so as to
    get useful answers (especially by avoiding a
     free-lunch  attitude)?
  • Statistical offices/services have to filter and
    bundle user needs, both at national and
    international level, and to balance with response
    burden. Less evidence of this function taking
    place at international level

6
Multiple series
  • Also professional users are confused
  • Official statistics is about producing
    authoritative, impartial information for many
    users simloutaneously. Implication if
    conflicting information about the same issue is
    produced by official statistics,
    authoritativeness asks for some kind of hierarchy
    (tier system)
  • Official vs. non-official statistics (from
    private sources, or from research institutes)
    need for  branding  of official statistics

7
Problems of International Databases
  • How can incentives be created or reinforced for
    data work to be treated in a more sustained way
    by international organisations?
  • External users expect the same degree of
    reliablity and comparability as from NSOs, and
    guarantees for the continuation of production
    over time independently of changes of internal
    priorities within IOs
  • The use by internal users may not always be
    regular, stable over time, and analytical
  • Data work is not spectacular enough compared to
    other activities of international statistical
    services

8
International databases (ctd.)
  • Ensuring comparability (between countries and
    over time) requires more data, metadata and
    analytical work than at national level
  • Countries may not always make available the
    necessary data or metadata in time, sometimes
    even in spite of legal obligations
  • NSOs have no incentive to follow regularly the
    dissemination activities of international
    statistical producers, unless they make headlines
    in national media, or are used for  operational
    purposes  (eligibility for funds, membership
    fees etc.) that are crucial for selected national
    users

9
International Statistics
  • One effect of globalisation is that there is a
    growing community of users of international
    statistics other than the internal users within
    IOs, and a growing media attention for
    international statistical results
  • The environment in which international official
    statistics is produced has to become more like
    the best national ones, and the quality of
    outputs more similar, since users see national
    and international official statistics as two
    sides of the same medal
  • Bad quality international official statistics may
    undermine the reputation of good national
    official statistics

10
International Statistics (ctd.)
  • Should we introduce a comparability scale for
    intercountry comparisons to guide users?
  • Should we have more external assessment of data
    work in international organisations, and more
    benchmark exercises?
  • How can we stabilise the production and
    dissemination of international official
    statistics?
  • How can we increase the authoritativeness of
    international statistics, given that the variety
    of different series and results, and the number
    of actors, is much greater than at national
    level?

11
International statistics (ctd.)
  • The  Europe first  dilemma
  • Is it possible at all to produce a supra- or
    international aggregate as a sum/average of
    statistics compiled by national statistical
    systems, with the same quality, timeliness and
    comparability as experienced from good national
    statistical systems? Would this require a
    different way of organising data collection,
    processing and dissemination?

12
Data Sharing between IOs
  • Not the same definition of  statistical use 
    (ECB includes use for prudential supervision)
  • Transmission of confidential data between
    national and international statistical
    authorities, and between IOs, requires consensus
    about what is statistical use  (6th UN
    fundamental principle to be used exclusively for
    statistical purposes promise to all respondents)
  • At international level, the distinction between
    who is a producer or a user of statistics is
    often blurred
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