Copyright 2010, The World Bank Group. All Rights Reserved. The Statistical System Features and characteristics of statistical systems Part 2 Strengthening.

Slides:



Advertisements
Similar presentations
Financing of OAS Activities Sources of cooperation Cooperation modalities Cooperation actors Specific Funds management models and resources mobilization.
Advertisements

Statistical infrastructure Task Force recommendations Leo Kolttola Second meeting on climate change related statistics for producers and users 8 – 9 October,
Workshop on Energy Statistics, China September 2012 Institutional Arrangements and Legal Framework 1.
Copyright 2010, The World Bank Group. All Rights Reserved. Statistical organization Principles and models Part 1 Strengthening Statistics Produced in Collaboration.
HRD as a Tool for Good Governance in Cooperatives
Chapter 2 - Legal foundation and institutional arrangements 8 th Meeting Baku, Azerbaijan September 2013 Drafting process of the Energy Statistics.
Enhancing Data Quality of Distributive Trade Statistics Workshop for African countries on the Implementation of International Recommendations for Distributive.
1 Human resources management in NSOs Training workshop for SADC member states. Luanda, 2-6 Dec 2006 Olav Ljones, Deputy Director General, Statistics Norway.
Institutional arrangements and legal framework for energy statistics United Nations Statistics Division International Workshop on Energy Statistics
Sub-session 1B: General Overview of CRVS systems.
INTOSAI Public Debt Working Group Updating of the Strategic Plan Richard Domingue Office of the Auditor General of Canada June 14, 2010.
Copyright 2010, The World Bank Group. All Rights Reserved. 1 GOVERNMENT FINANCE STATISTICS COVERAGE OF THE GFS SYSTEM Part 1 This lecture defines the concept.
Copyright 2010, The World Bank Group. All Rights Reserved. Planning and programming Planning and prioritizing Part 1 Strengthening Statistics Produced.
Copyright 2010, The World Bank Group. All Rights Reserved. Planning and programming Planning and prioritizing Part 2 Strengthening Statistics Produced.
Identifying Data Needs: Workshop on Household Surveys and Measurement of Labour Force with Focus on Informal Economy Maseru, Lesotho, April 2008.
Copyright 2010, The World Bank Group. All Rights Reserved. The Statistical System Features and characteristics of statistical systems Part 1 Strengthening.
World Bank and Statistical Capacity Building PARIS21 Task Team Meeting Washington, DC September 10, 2001.
Copyright 2010, The World Bank Group. All Rights Reserved. Sources of Agricultural Data Section A 1.
process information Coordination of National Statistical Systems Seminar on the Implementation of Fundamental Principles Konrad Pesendorfer.
Use of Administrative Data Seminar on Developing a Programme on Integrated Statistics in support of the Implementation of the SNA for CARICOM countries.
Looking Forward the Post-2015 Sustainable Development Goals (SDGs) UNSD-DFID Project on National Development Indicators: Country Director's Meeting, New.
New sources – administrative registers Genovefa RUŽIĆ.
1 1 Statistical Legislation and Positioning of NSO in Government Olav Ljones, Deputy Director General, Head of Department of Economic Statistics, Statistics.
Legal and institutional foundation of economic statistics Overview of international experience Regional Workshop for African Countries on Compilation of.
Autonomy of National Statistical Offices Presentation by: V.K. Bajaj Dy. Director General Ministry of Statistics & PI Government of India.
Workshop on MDG Monitoring Kampala, Uganda 5-8 May 2008 National Statistical System: Coordination United Nations Statistics Division.
Assessing the effectiveness of national statistical systems Some issues and challenges Mohamed TAAMOUTI Director of Statistics, Morocco 1.
1 IMPLEMENTATION STRATEGY for the 2008 SNA OECD National Accounts Working Party Paris, France 4 to 6 November 2009 Herman Smith UNSD.
Copyright 2010, The World Bank Group. All Rights Reserved. Principles, criteria and methods Part 2 Quality management Produced in Collaboration between.
Implementation of the European Statistics Code of Practice Yalta September 2009 Pieter Everaers, Eurostat.
Copyright 2010, The World Bank Group. All Rights Reserved. Types of use by different user categories Part 2 Uses and users of statistics Produced in Collaboration.
Eurostat/UNSD Conference on International Outreach and Coordination in National Accounts for Sustainable Development and Growth 6-8 May, Luxembourg These.
MONGOLIA COUNTRY CONTRIBUTION PAPER “The Availability, Timeliness, and Quality of Rapid Estimates in Case of Mongolia” Presenter: G. Gerelt-Od, First Vice-Chairman,
Beverly Harris Collaboration in Statistics: The Case of St. Kitts and Nevis NSDS Workshop Anguilla November 9 th
Institutional and legal framework of the national statistical system: the national system of official statistics Management seminar on global assessment.
Workshop on Household Surveys and Measurement of Labour Force with Focus on Informal Economy Maseru, Lesotho, April 2008 National Statistical System:
United Nations Workshop on Principles and Recommendations for a Vital Statistics System, Revision 3, for African English-speaking countries Addis Ababa,
Copyright 2010, The World Bank Group. All Rights Reserved. Business registration, part 1 Administrative and statistical business registers 1 Business statistics.
Copyright 2010, The World Bank Group. All Rights Reserved. Managing processes Core business of the NSO Part 1 Strengthening Statistics Produced in Collaboration.
Hallgrímur Snorrason National Statistical Committee of the Kyrgyz Republic The 7 th SPECA Project Group on Statistics Improving the Coherence of Economic.
Outsourcing of Census Operations United Nations Statistics Division UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary.
Copyright 2010, The World Bank Group. All Rights Reserved. QUALITY ASSURANCE AND EVALUATION Part 1: Quality Assurance 1.
Outsourcing of Census Operations United Nations Statistics Division Regional Workshop on the 2010 World Programme on Population and Housing Censuses: International.
Questions for practitionaires Clementina Ivan-Ungureanu Training: Essential SNA: Building the basics Addis Ababa, February 2012.
Copyright 2010, The World Bank Group. All Rights Reserved. Principles, criteria and methods Part 1 Quality management Produced in Collaboration between.
Modernizing Official Statistics 1. PURPOSE OF OFFICIAL STATISTICS The purpose of official statistics is to produce and disseminate authoritative results.
United Nations Economic Commission for Europe Statistical Division WHAT MAKES AN EFFECTIVE AND EFFICIENT STATISTICAL SYSTEM Lidia Bratanova, Statistical.
1 European Statistics Code of Practice. I.Institutional Environment Principle II.Statistical processes Principle III.Statistical Output Principle.
Administrative Data and Official Statistics Administrative Data and Official Statistics Principles and good practices Quality in Statistics: Administrative.
The statistical act, its application and challenges BY ABERASH TARIKU ABAYE NATIONAL STATISTICAL DATA QUALITY AND STANDARDS COORDINATION DIRECTORATE DIRECTOR.
African Centre for Statistics Economic Commission for Africa.
Hallgrímur Snorrason Management seminar on global assessment Session 6: Institutional and legal framework of the national statistical system Yalta
United Nations Statistics Division and the Fundamental Principles of Official Statistics Stefan Schweinfest United Nations Statistics Division Workshop.
Data Accessibility, Confidentiality and Copyright United Nations Statistics Division Demographic Statistics Section.
INTER-AMERICAN DEVELOPMENT BANK CAPACITY BUILDING AND TRAINING.
Session 2: Institutional arrangements for energy statistics
Quality assurance in official statistics
OECD Chief Statistician and Director, Statistics Directorate
Sabrina Iavarone Senior User Services Officer
Institutional Framework, Resources and Management
International Statistical Conference: INDEC's 50th Anniversary
Quality, efficiency and productivity: a challenge for official statistics EFTA/CROSTAT/EUROSTAT Strategic Management Seminar, Split, November 2007.
On data accessibility and confidentiality……..
Maldives Review of the Statistical System of Maldives and the Statistics Development Plan Fifth Project Support Meeting Bangkok, Thailand | 9 May 2018.
Heinrich Brüngger, Director
Jan Byfuglien Statistics Norway
Statistical Office of the Republic of Slovenia and microdata for research Tomaž Smrekar.
International Standards for Compilation of Statistics: The Gap between Standards Adoption and Standards Implementation Katherine K. Wallman Chief Statistician.
Functioning of the vital statistics system
Presentation transcript:

Copyright 2010, The World Bank Group. All Rights Reserved. The Statistical System Features and characteristics of statistical systems Part 2 Strengthening Statistics Produced in Collaboration between World Bank Institute and the Development Data Group (DECDG)

Copyright 2010, The World Bank Group. All Rights Reserved. User and producer councils Official statistics serve many different purposes Users include governments, researchers, journalists and the media, businesses, educational institutions and the general public User councils, with producers participating, are important to maintain relevance User councils should represent all main user groups Membership should be 10 as a minimum 2

Copyright 2010, The World Bank Group. All Rights Reserved. Characteristics of credibility Statistics must be ‘fit for purpose’ Therefore a balance must be struck between accuracy and timeliness; very accurate statistics that are published with long delays have little value for most users Impartiality is crucial to remaining credible; NSOs must avoid to be perceived as politically biased Freedom from political control is another important condition for credibility Protection of confidentiality is part of the ‘contract’ between the respondent and the statistical agency Minimizing the reporting burden for data providers is another aspect of the same ‘contract’ The management of the organization and the quality of the staff have a high influence on the perceived credibility by others (users and donors). 3

Copyright 2010, The World Bank Group. All Rights Reserved. Confidentiality Relations with respondents must be based on respect Without cooperation of respondents statistics cannot be compiled Even when the law makes response to data collections mandatory, statistical surveys are largely a voluntary process When the survey is mandatory, the NSO still has an obligation to treat respondents in an ethical manner (sensitive to their needs and situation) This means minimizing the burden on their time, and maintaining the confidentiality of their information Respect for privacy is based on the fact that individuals ‘own’ the information about themselves This concept also applies to legal entities such as corporations Ensuring confidentiality means honoring the ‘contract’ between the respondent and the agency 4

Copyright 2010, The World Bank Group. All Rights Reserved. Reporting burden The purpose of the data collection must be made clear, particularly to small businesses It is best to take samples no greater than what is strictly necessary to yield aggregate totals quickly and accurately The statistical agency must accommodate respondents, e.g. by accepting legitimate substitutes for a traditional questionnaire The statistical agency ought to request no more information than is necessary and only after it has determined the least burdensome way of acquiring the information The statistical agency will approach a respondent with a request for data only as a last resort, all alternative avenues (e.g. administrative registers) having been reviewed and found insufficient. On the other hand: it needs to be realized that the direct information from respondents have the highest quality. 5

Copyright 2010, The World Bank Group. All Rights Reserved. Micro-data access Statistical offices collect data that are a potential rich source for social and economic research Researchers are keen on re-using micro-data for their own research purposes Micro-data are un-aggregated original sample data that contains (anonymously) every individual record in the sample Disclosure protection is easy for household data For enterprise data additional efforts need to be made Many countries have made arrangements to make micro-data available for research by third parties The best organizational arrangements are dependent on the national situation. The World Bank is involved in the Accelerated Data Project which helps developing countries to make their micro data available to users for research. 6

Copyright 2010, The World Bank Group. All Rights Reserved. Other elements of the status of the NSO Role of the NSO to coordinate the NSS Access to administrative data/registers: use of administrative data enhances efficiency and quality As administrative registers are gaining importance as data sources for statistics, the Statistics Act should guarantee access of the NSO to such registers Promoting processional standards: the NSO should have a role in enhancing professionalism throughout the NSS by setting standards, oversee career development, organize training etc. This demands from the national statistical office that they invest in knowledge and the updating and organization of statistical knowledge. 7

Copyright 2010, The World Bank Group. All Rights Reserved. Coordination - 1 Three main components of statistical coordination may be distinguished: Technical coordination, involving definitions, nomenclatures and classifications to be used throughout the NSS Operational coordination, involving approving surveys, questionnaires, methodology and statistical budgets Institutional coordination, involving issues of how the various entities that are part of the NSS cooperate 8

Copyright 2010, The World Bank Group. All Rights Reserved. Coordination - 2 In general, the more decentralized the NSS is, the more difficult coordination is The NSO should ideally play a key role Important condition: the NSO must be qualified to have coordination authority Hard vs. soft coordination Hard coordination: the NSO is entitled to set rules Soft coordination: coordination based on exchanging views and trying to reach consensus Soft coordination works well in many countries 9

Copyright 2010, The World Bank Group. All Rights Reserved. Coordination - 3 Institutional coordination implies that the various producers of official statistics make a collaborative effort This means that: They respect technical coordination rules They respect operational coordination by avoiding duplication of effort and meeting certain quality standards for their operations – surveys, questionnaires etc. The have created the regular framework for coordination like laws, formal arrangements, MOUs They have regular meetings in working groups and committees to discuss coordination issues 10

Copyright 2010, The World Bank Group. All Rights Reserved. Coordination problems Everyone agrees on the need for coordination but almost no one likes to be coordinated Bureaucratic resistance against coordination can be captured by statements like: ‘Only our Ministry is capable of understanding the user needs’ Performance-based resistance is about real concerns that the NSO is unable to do the job properly Incentives for coordination may be: getting better access to statistical expertise, synergies from access to information that is otherwise not readily available, departmental influence on national statistical initiatives 11

Copyright 2010, The World Bank Group. All Rights Reserved. Access to administrative data Use of administrative data is nearly always good for efficiency and quality Using administrative data reduces the reporting burden (in theory) In particular, using tax data may reduce the reporting burden for small businesses Combination of administrative data and survey data enhances the quality of statistics The NSO should engage in a dialogue with custodians of administrative data in order to enhance the usefulness of these data for statistical purposes 12