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The Future in Research for Official Statistics: Building on previous experiences

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... the functioning of every form of democratic society with a free market economy. ... 3. Lessons learned. Draw backs. Insufficient orientation capacity (focus) ... – PowerPoint PPT presentation

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Title: The Future in Research for Official Statistics: Building on previous experiences


1
NTTS 2009 ConferenceBrussels 18-20 February 2009
  • The Future in Research for Official Statistics
    Building on previous experiences

Prof. Photis NANOPOULOS Fr. Director EUROSTAT
2
1. Introduction
  • 1.1. Statistics for democracy and governance
  • Official statistics is an indispensable
    ingredient for the functioning of every form of
    democratic society with a free market economy.
  • Official statistics are usually intended as
    statistical information produced by government
    agencies to
  • shed light on economic and social conditions
  • develop, implement and monitor policies
  • inform decision-making, debate and discussion
    both within government and the wider community

2
3
1. Introduction
  • 1.2. Principles that should govern RD in OS in
    Europe
  • Article 338 (ex Article 285 TEC)
  • 2. The establishment of the statistics is done
    in the respect of the impartiality, reliability,
    objectivity, scientific independence, the
    effectiveness in comparison of the cost and the
    confidentiality of the statistical data it
    should not involve excessive loads for the
    economic operators.
  • European Statistical System Code of Practice
  • The UN fundamental principles of official
    statistics
  • (Decision 47/1992 of the UN Economic Commission
    for Europe)

3
4
1. Introduction
  • 1.2. Orientation of RD in Official Statistics
  • Policy orientation at EU level, in order to focus
    on EU policy priorities, and policy support for
    financing its activities.
  • Operational orientation is required in order to
    specify those components of the statistical
    production process that need most RD for
    improvement.
  • Orientation for meeting Quality objectives is
    needed to specify levels of quality measurements
    and assessment of results.
  • Science and Technology orientation in order to
    focus on the most appropriate methods and tools
    to be developed in conjunction with the policy,
    efficiency and quality orientations

4
5
1. Introduction
  • 1.4.Driving forces
  • Research in Official Statistics is driven by
  • Changes in users needs with measurement
    challenges
  • New statistical coverage with measurement
    challenges
  • Previously NEW ECONOMY
  • Currently, KNOWLEDGE SOCIETY
  • Observing the Economic crisis (Why not to have
    predicted it?)
  • Scientific innovations
  • Innovative applications of data analysis methods
  • New applications of existing methods
  • New methods
  • Scientific and technological progress.
  • New techniques and tools
  • Software developments encapsulating innovations

5
6
2. Some history of EU RD programs in OS
  • DOSES(4) a happy good start.few results
  • DOSIS(22) difficult but successful.
  • SUPCOM(20) Introversion..very targeted
  • EPROS (48) CPA4 !!!..............36(!) big
    projects
  • The five key elements of EPROS were
  • a) research and development into generic
    statistical tools,
  • b) techniques, methodologies and technologies
  • c) statistical applications
  • d) statistical indicators for the new economy
    (SINE)
  • e) transfer of technology and know-how (TTK) and
    supporting activities
  • NORIS, the nomenclature of Research in official
    Statistics
  • See publication of Eurostat presenting EPROS
    projects

6
7
3. Lessons learned
  • Positive lessons
  • Creation of a peoples network for RD in OS
  • Through promoting activities project consortia
  • Important innovations
  • Many new ideas, methods (e,g. SODAS)
  • Enhancing and enlarging existing tools
  • Existing tools in NSIs found a new development
    (e.g CASC).
  • Development of generic tools for statistical
    production
  • Several components (eg. EUREDIT) of the
    Statistical Production System were offered
    generic tools

7
8
Attracting-Networking-Supporting RD People.
  1. A series of conferences in statistical
    confidentiality .
  2. NTTS conference in 1992 and 1995 in Bonn, 1998 in
    Sorrento and 2001 in Crete,
  3. A specific conference dedicated to the
    Cooperation between Academic and Official
    Statisticians (CAOS) in 1998 in Bucharest.
  4. Support to innovative scientific societies
    (ISI-IASC-ISBA).
  5. International Cooperation (Agreement between
    Eurostat and the USA White House OBM .
  6. Publication of the ROS Journal.
  7. The VIROS site that has been developed offering
    full information to all our projects and
    activities.
  8. The TTK (Transfer of Technology and Know-how)
    programme in association with the JRC, was felt
    as a priority for making results accessible to
    users.

8
9
3. Lessons learned
  • Draw backs
  • Insufficient orientation capacity (focus)
  • Caused by IST domains dominant non statistical
    criteria
  • No opportunity for SPC to provide orientation
  • Effectiveness
  • lack of balance between the objectives of
    proposals and users' needs.
  • Efficiency
  • several other projects were stopped after the end
    of EU financing

9
10
3. Lessons learned
  • 3. Causes
  • Consortia partners parallel motivations
  • Academics looking for papers to publish
  • Administrations looking for budget to solve
    current problems
  • Private companies looking for turn over and
    benefits!!!
  • Consortia partners profiles and qualifications
    (misfits)
  • Small companies
  • No permanent RD activities
  • Ansence of RD capacity within NSIs.

10
11
4. Approach for the future
  • Create a Virtual Programme (Vi.E.P.R.O.S) in
    order to better focus on important priorities of
    the ESS and provide maximum orientation
  • Communicate and explain the programme
  • Increase NSIs involvement in RD projects
  • Use coarse system of criteria
  • Private sector partners value
  • Clear long-term involvement in official
    statistics
  • Capacity to continue after the project (RD
    activities)
  • Project value
  • Specific priority domains
  • Quality improvement
  • Statistical Production Process components
    improvement
  • Technological innovation benefits
  • Integrated innovative solutions
  • Encapsulate new scientific knowledge

11
12
5. Partners roles
  • EUROSTAT and SPC
  • Provide a forum for discussion and communication
  • Elaborate and maintain ViEPROS
  • Support dissemination of results and knowledge
  • Start an RD activity within its premises.
  • NSIs
  • Support and contribute to Eurostat initiatives
  • Develop some RD activities in house
  • Create clusters of NSI and academic around
    projects
  • Take an active role in the dissemination of
    results and knowledge at national level

12
13
5. Partners roles
  • Scientific community
  • Central role in statistical education and
    research in relation to official statistics. Use
    ViEPROS as a support.
  • Develop cooperation with NSI and other National
    statistical authorities
  • Have a long term strategy for RD in the
    improvement and use of official statistics.
  • Private companies
  • Develop their capacity for RD and benefit from
    partnerships with NSIs and scientists
  • Give better orientation to the development of
    their products and services in meeting customer
    needs and expectations.
  • Develop statistical software industry in Europe.

13
14
6. Concluding remarks
  • There exists a real need for RD in Official
    Statistics in Europe as support for facing the
    21st century challenges.
  • There exists in Europe a strong community of
    partners capable of undertaking a large programme
    of RD in Official Statistics
  • This RD force should be driven by a specific
    (even virtual) programme which orient the
    efforts.
  • The European Commission must obtain political
    support and facilitate the implementation of this
    programme
  • EUROSTAT and the NSIs should provide the
    guarantees of excellence and efficiency of the
    programme.

14
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