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European Conference on Quality in Official Statistics (Q2014) - June 5 th 2014 Carlo Cafiero, Pietro Gennari and Steve Katz FAO Statistics Division.

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Presentation on theme: "European Conference on Quality in Official Statistics (Q2014) - June 5 th 2014 Carlo Cafiero, Pietro Gennari and Steve Katz FAO Statistics Division."— Presentation transcript:

1 European Conference on Quality in Official Statistics (Q2014) - June 5 th 2014 Carlo Cafiero, Pietro Gennari and Steve Katz FAO Statistics Division

2  Background and Context  Role of IOs as Producers of Official Stats  Why and When to use Non-Official Sources  FAO Examples  “Voices of the Hungry” Project as Case-Study  Reflections and Conclusions 2

3  Tension between NSOs and IOs due to data discrepancies and use of non-official sources (Human Dev. Report, MDG database, Big Data)  Resulting in specific UNSC recommendations: ◦ 37 th Session (2006) – IOs should avoid imputation unless specific country data are available & following consultations ◦ 42 nd Session (2011) – On enhanced coordination of statistics within the UN system  CCSA discussions on imputation practices and use of non-official sources ◦ 2006, 2009, 2010, 2011, 2012 ◦ 2013: adoption of “Recommended Practices on the Use of non-Official Sources in International Statistics” 3

4  Clear role of national governments for official statistics; Role of IOs more controversial  Widespread view: limited to compiling existing governmental statistics  SDMX guidelines: official statistics also apply to Intergovernmental Organizations  Assumes Member States endorse statistical programmes of IOs, which is not always the case  Added value: transformation of national data into international “Global Public Goods”, standardized and comparable across countries  Requires: dedicated attention to quality and good governance 4

5  IOs normally use official sources ◦ Mandate and membership of IOs ◦ NSS data usually produced according to the highest professional standards  In certain cases IOs cannot rely on official sources: ◦ National standards different from international standards ◦ Official sources in politically sensitive areas may be biased ◦ Missing data ◦ Confidentiality issues ◦ Difficulty of the NSS to keep up with the increasing demand for real-time data and new indicators  But ONLY when all possibilities of using national data have been exhausted 5

6 Traditional use  To ensure data harmonization and comparability across countries and regions  To validate official data, to increase their accuracy and comprehensiveness  To fill missing values/overcome confidentiality issues Non-traditional use  To produce indicators not yet covered by official statistics (direct data collection) 6

7  Fertilizer Production, Trade and Consumption ◦ Main source is official statistics from countries, but additional data from the International Fertilizer Association (MoU) ◦ Specific problem: data confidentiality  Early Warning and Emergency Preparedness Needs ◦ Real-time data not available from official sources ◦ Developing countries affected by emergencies lack the expertise needed ◦ Sources: News agencies, Extension services, Satellite images, Crowdsourcing  Voices of the Hungry Project as a Case Study 7

8 Issue being Addressed  Monitoring Food Insecurity is crucial to fight hunger  Post 2015 Development Agenda requires creation of new indicators for global and national monitoring (food access)  Global Monitoring cannot be based on national sources in the short-term  Voices of the Hungry Project addresses this information gap 8

9 Methodology and Benefits ◦ Direct measure of people’s food insecurity in a timely and cost-effective way ◦ Short questionnaire as integral part of annual survey conducted by Gallup Inc. in 150 countries worldwide ◦ Based on nationally representative samples ◦ Can help in assessing emergency needs after famine or natural disasters ◦ Recommended as a key indicator for the monitoring framework of the Post 2015 Development Agenda ◦ Governments to adopt the indictor for targeted intervention, and monitoring/measuring impact of policies/programmes 9

10 Quality Assurance Mechanisms 1 ◦ Rigorous UN Procurement Rules adopted for the selection of data supplier ◦ Methodology Field-Tested: initially in 4 African countries ◦ Validation Studies: before adoption of a universal Scale of measurement ◦ Quality Stamp: FAO responsible for integrity and comparability of the different questionnaire language versions 10

11 Quality Assurance Mechanisms 2 ◦ Sustainability: Long-term contract with Gallup Inc.; World Bank and WHO have similar project arrangements ◦ External Review: All micro-data and methodology for its analysis will be publicly available ◦ Capacity Development: FAO to assist countries to include the Scale in future national household surveys; countries to eventually to take over data collection function 11

12  IOs add value to national data as provider of internationally comparable Global Public Goods  IOs normally rely on national official data  Use of non-official data only for very compelling reasons, including to fill information gaps or meet emerging needs  Ultimate goal of providing higher quality and wider scope of global monitoring service  Be combined with capacity development work for eventual national handover and sustainability 12

13  Use of non-official sources may create tension between IOs and NSOs  Instruments needed to mitigate this tension: ◦ Full disclosure of methods/sources ◦ Adoption of quality assurance frameworks ◦ Stronger country involvement  Particularly, strengthened statistics governance systems where Members endorse the statistical programmes of IOs and peer-review data  FAO: new QAF adopted; Global Commission on Statistics to be established in 2015 13

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