United Nations Statistics Division/DESA

1
Workshop series on manufacturing statistics

• United Nations Statistics Division/DESA

2
Results of first workshop

• Principal agreement agreed on
• Usefulness of comparable statistics for the
  region
• Set of common goals as in IRIS 2008 or beyond
• Need for specific assistance in most countries
• Agreement at working level

3
Results of first workshop

• Other factors
• Resource requirements (internal and external)
• Coordination among countries
• These create need for officially recognized
  programme
• Proposal
• Develop outline at working level
• Submit to Conference of Statisticians of the
  Americas

4
Objective

• improve the production, dissemination,
  comparability and quality of manufacturing
  statistics (and by consequence national accounts
  data) at the country and regional level in a
  sustainable manner
• promoting regional coordination among development
  and financing partners active in statistical
  capacity building
• reviewing current country practices with a view
  to regional harmonization, where appropriate,
  particularly in the areas of new industrial
  statistics challenges like outsourcing
• implementing updated international
  recommendations/standards (e.g. International
  Recommendations on Industrial Statistics (IRIS)
  2008, ISIC Rev4, CPC Ver2, and the International
  recommendations on the Index of Industrial
  Production (IIP)) and
• implementing regional programmes, guidelines and
  procedures.

5
Key deliverables

• Data that meets the requirements set out in the
  International Recommendations for Industrial
  Statistics (IRIS) 2008
• A minimum set of regional data items to be
  determined and agreed to by countries in the
  region (at a more detailed level than that
  required for international reporting)
• Implementation of recently revised international
  classifications
• ISIC Rev.4, CPC Ver.2
• Implementation of the International
  Recommendations relating to the Index Numbers of
  Industrial Production.

6
Major components

• Regional workshops following the Statistical
  Production Process Framework
• Associated country assistance
• Monitoring through assessment framework

7
Governance structure

• Programme running under the auspices of the
  Conference of Statisticians of the Americas
• Member country acting as secretariat
• Support provided by other partners

8
Way forward

• Development of a timetable to carry out the
  entire production process quality assessment of
  countries in the region
• Coordinate and implement the country quality
  assessment of manufacturing statistics
• Determine priority areas for action based on the
  quality assessment
• Outline milestones and benchmarks that countries
  need to achieve and a timetable for measuring
  progress
• Identify funding options and resource
  requirements to carry out the Manufacturing
  Statistics Work Programme
• Identify consultants/experts to undertake
  specific country assistance and
• Submit the necessary status reports to the
  Statistical Conference of the Americas.

9
Way forward elements

• Quality assessment of current state in
  participating countries
• Conduct of a regional workshop, using the quality
  assessment information to focus on specific
  problems
• Discussion and agreement among participating
  countries to reach common programme goals
• Agreement on possible exceptions for individual
  countries.
• Identification of specific needs for assistance
• Coordination of country assistance through
  network of consultants and
• Periodic progress review, based on the quality
  assessment framework.

10

• Statistical Production Process framework

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What is the statistical production process
framework?

• The statistical production process framework
  provides a structured and standardised view for
  the way statistics are produced.

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What is the statistical production process
framework? - cont

• The foundation block comprises the institutional
  setting, containing the administrative and legal
  framework, staff, technology, and financial
  resources.
• The first block comprises the registers and
  frames of statistical units from which
  administrative and survey source data are
  collected.
• The second block (surveys) comprises
  administrative and statistical surveys (forms
  design, dispatch and collection control, Micro
  editing, etc).
• The third block comprises the integration
  frameworks, organizing and summarizing the source
  data into statistical indicators focused on user
  needs.
• The fourth block is the dissemination of the
  statistical indicators to users.

13
Use of the statistical production process
framework by UNSD

• Two of the UNSDs main roles are to
• Develop methodological standards (e.g. ISIC Rev4,
  IRIS 2008) and
• Provide technical assistance.
• The statistical production process framework will
  allow for a structured approach to the provision
  of technical assistance so countries can achieve
  the necessary methodological standards.
• To achieve this, we need to determine the current
  status of countries and then assist countries to
  move towards the new standards.

14
What is the statistical production process
framework? - cont

• All future technical and managerial assistance
  and training in the context of the Statistical
  Production Process framework.
• What are the benefits of using this framework?
• development of common training programs (i.e. the
  construction of a central knowledge platform)
  and
• development of common approaches to
  implementation of best practice methods, systems
  and tools.

15
Use of the statistical production process
framework by UNSD - cont

• UNSD has commenced using this statistical
  production process framework in the area of
  economic statistics in two main areas
• (1) Development of an UNSD knowledge platform
• (2) Development of quality assessment framework
  for industrial statistics

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Use of the statistical production process
framework by UNSD - cont

• The framework is the basis for the manufacturing
  statistics workshops
• The questionnaire you completed prior to the
  workshop is an example of how the statistical
  production process framework and the quality
  assessment framework are used in practice.
• The questionnaire assisted the development of
  some of the sessions in this workshop as well as
  to determine the current status of countries and
  areas of focus in the future.

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• Quality assessment framework for industrial
  statistics

18
Existing quality assessment frameworks

• In recent years a number of quality assessment
  frameworks have been developed and used by
  different agencies
• IMF - DQAF
• Eurostat DESAP
• National quality assessments
• Some operate at generic, aggregated level
• Others are for specific programmes

19
Existing quality assessment frameworks

• Framework can be used in a variety of contexts,
  including
• reviews performed in the context of country work,
  e.g., technical assistance
• self-assessments performed by national
  statistical offices and other data producing
  agencies and
• assessments by other groups of data users.

20
Quality assessment framework for industrial
statistics

• Based on existing frameworks, a structure has
  been discussed that would focus on industrial
  statistics only
• More detailed versions have been prepared to
  cover specifically business registers and surveys
• Additional level has been added to the framework
  to accommodate qustions related to the detailed
  areas

21
Structure of the framework

• Both frameworks use agreed components of data
  quality
• Dimensions of quality
• Integrity
• Methodological soundness
• Accuracy and reliability
• Serviceability
• Accessibility

22
Structure of the framework

• These dimensions have been further subdivided
  into elements and indicators
• More detailed focal issues address issues
  specific to compilation of industrial statistics
• Key points identify qualifying features for each
  focal issue

23
Structure of the framework

• In the framework for industrial statistics

24
Structure of the framework

• Hierarchical structure in different format

25
Structure of the framework

• Expanded to focus on business registers and
  surveys