United Nations Statistics Division/DESA Workshop series on manufacturing statistics.

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Presentation transcript:

United Nations Statistics Division/DESA Workshop series on manufacturing statistics

2 Results of first workshop Principal agreement agreed on:Principal agreement agreed on: Usefulness of comparable statistics for the regionUsefulness of comparable statistics for the region Set of common goals as in IRIS 2008 or beyondSet of common goals as in IRIS 2008 or beyond Need for specific assistance in most countriesNeed for specific assistance in most countries Agreement at working levelAgreement at working level

3 Results of first workshop Other factors:Other factors: Resource requirements (internal and external)Resource requirements (internal and external) Coordination among countriesCoordination among countries These create need for officially recognized programmeThese create need for officially recognized programme Proposal:Proposal: Develop outline at working levelDevelop outline at working level Submit to Conference of Statisticians of the AmericasSubmit 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 mannerimprove 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;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;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)); andimplementing 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.implementing regional programmes, guidelines and procedures.

5 Key deliverables Data that meets the requirements set out in the International Recommendations for Industrial Statistics (IRIS) 2008Data 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)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:Implementation of recently revised international classifications: ISIC Rev.4, CPC Ver.2ISIC Rev.4, CPC Ver.2 Implementation of the International Recommendations relating to the Index Numbers of Industrial Production.Implementation of the International Recommendations relating to the Index Numbers of Industrial Production.

6 Major components Regional workshops following the Statistical Production Process FrameworkRegional workshops following the Statistical Production Process Framework Associated country assistanceAssociated country assistance Monitoring through assessment frameworkMonitoring through assessment framework

7 Governance structure Programme running under the auspices of the Conference of Statisticians of the AmericasProgramme running under the auspices of the Conference of Statisticians of the Americas Member country acting as secretariatMember country acting as secretariat Support provided by other partnersSupport 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;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;Coordinate and implement the country quality assessment of manufacturing statistics; Determine priority areas for action based on the quality assessment;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;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 funding options and resource requirements to carry out the Manufacturing Statistics Work Programme; Identify consultants/experts to undertake specific country assistance; andIdentify consultants/experts to undertake specific country assistance; and Submit the necessary status reports to the Statistical Conference of the Americas.Submit the necessary status reports to the Statistical Conference of the Americas.

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

10 Statistical Production Process framework

11 What is the statistical production process framework? The statistical production process framework provides a structured and standardised view for the way statistics are produced.The statistical production process framework provides a structured and standardised 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

12 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 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 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 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 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.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 UNSD’s main roles are to:Two of the UNSD’s main roles are to: Develop methodological standards (e.g. ISIC Rev4, IRIS 2008); andDevelop methodological standards (e.g. ISIC Rev4, IRIS 2008); and Provide technical assistance.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.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.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.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?What are the benefits of using this framework? development of common training programs (i.e. the construction of a central knowledge platform); anddevelopment 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.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: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(1) Development of an UNSD knowledge platform (2) Development of quality assessment framework for industrial statistics(2) Development of quality assessment framework for industrial statistics

16 Use of the statistical production process framework by UNSD - cont The framework is the basis for the manufacturing statistics workshopsThe 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 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.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.

17 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 agenciesIn recent years a number of quality assessment frameworks have been developed and used by different agencies IMF - DQAFIMF - DQAF Eurostat – DESAPEurostat – DESAP National quality assessmentsNational quality assessments Some operate at generic, aggregated levelSome operate at generic, aggregated level Others are for specific programmesOthers are for specific programmes

19 Existing quality assessment frameworks Framework can be used in a variety of contexts, including:Framework can be used in a variety of contexts, including: reviews performed in the context of country work, e.g., technical assistance;reviews performed in the context of country work, e.g., technical assistance; self-assessments performed by national statistical offices and other data producing agencies; andself-assessments performed by national statistical offices and other data producing agencies; and assessments by other groups of data users.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 onlyBased 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 surveysMore 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 areasAdditional 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:Both frameworks use agreed components of data quality: Dimensions of qualityDimensions of quality IntegrityIntegrity Methodological soundnessMethodological soundness Accuracy and reliabilityAccuracy and reliability ServiceabilityServiceability AccessibilityAccessibility

22 Structure of the framework These dimensions have been further subdivided into elements and indicatorsThese dimensions have been further subdivided into elements and indicators More detailed focal issues address issues specific to compilation of industrial statisticsMore detailed focal issues address issues specific to compilation of industrial statistics Key points identify qualifying features for each focal issueKey points identify qualifying features for each focal issue

23 Structure of the framework In the framework for industrial statisticsIn the framework for industrial statistics

24 Structure of the framework Hierarchical structure in different formatHierarchical structure in different format

25 Structure of the framework Expanded to focus on business registers and surveysExpanded to focus on business registers and surveys