1. United Nations Statistics Division
Workshop series on manufacturing statistics
United Nations Statistics Division

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 (IRIIP)); 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 for the Index of Industrial Production (IRIIP) 2010

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
Support provided by other partners

8. Statistical Production Process framework

9. What is the statistical production process framework?
The statistical production process framework provides a structured and standardized view for the way statistics are produced.
Registers and frames (R&F)
Surveys (S)
Integration frameworks (IF)
Dissemination (D)
Institutional setting
ICT
Management and internal policy
Institutional arrangements

10. What is the statistical production process framework?
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.

11. What is the statistical production process framework?
All future technical and managerial assistance and training are expected to be done 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.

13. Use of the statistical production process framework by UNSD
Two of the UNSD’s main roles are to:
Develop methodological standards (e.g. ISIC Rev4, IRIS 2008, IRIIP 2010); 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. Use of the statistical production process framework by UNSD
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 assists to determine the current status of countries and determine areas of focus for future work.
The questionnaire also assists in the development of some of the sessions in this workshop.

15. Quality assessment framework for industrial statistics

16. 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

17. 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.

18. 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 the individual steps of the statistical production process framework, e.g. on business registers and surveys
Additional level has been added to the framework to accommodate questions related to the detailed areas

19. Structure of the framework
Both frameworks use agreed components of data quality:
Dimensions of quality
Integrity
Methodological soundness
Accuracy and reliability
Serviceability
Accessibility

20. 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

21. Structure of the framework
In the framework for industrial statistics

22. Structure of the framework
Hierarchical structure in different format

23. Structure of the framework
Expanded to focus on individual steps (e.g. BR)

24. Way forward
Coordinate and implement the country quality assessment for 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;
Submit the necessary status reports to the Statistical Conference of the Americas;
Periodic progress review, based on the quality assessment framework

25. Focus of this workshop We have covered before:
Business registers / sources
Surveys
Now: Third block of the Statistical Production process frame work
Processing data received from surveys or other sources
Data validation / editing and imputation
Producing new indicators (e.g. IIP)
Additional data manipulation
Seasonal adjustment
Benchmarking
Backcasting

26. Focus of this workshop Sharing of country experiences
Strict recommendations do not always exist for detailed processing steps
Most international recommendations are output-oriented
Review of current country procedures can reveal best practices