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Carlo o Cafiero ro, , Pietro tro Gennari nari and Steve ve Katz - PowerPoint PPT Presentation

Carlo o Cafiero ro, , Pietro tro Gennari nari and Steve ve Katz tz FAO O Stati tistics stics Divi vision sion European ean Conference ference on Qual ality ty in Offici cial al Statistic tics (Q2014) 2014) - June ne 5 th th


  1. Carlo o Cafiero ro, , Pietro tro Gennari nari and Steve ve Katz tz FAO O Stati tistics stics Divi vision sion European ean Conference ference on Qual ality ty in Offici cial al Statistic tics (Q2014) 2014) - June ne 5 th th 2014 14

  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

  3.  Te Tensio sion n bet etween ween NSO SOs s and d IOs s due e to data a discrepan crepancies es and d use e of non-of offi fici cial al sources rces (HDR, MDG database, Big Data)  Result ulting ing in specifi ecific UNSC recommenda mendations: ions: 37 th Session (2006) – On imputation and SCB ◦ 42 nd Session (2011) – On enhanced coordination of ◦ statistics within the UN system  CCSA SA discussions cussions on imputatio utation n practic ctices es and use e of non-of offic ficial al sources rces 2006, 2009, 2010, 2011, 2012 ◦ 2013 : adoption of “Recommended Practices on the Use ◦ of non- Official Sources in International Statistics”

  4.  Clear role of national governments for official statistics; Ro Role of IOs more co contro troversi rsial al  Widespread view: limite ited d to co comp mpiling ling existi sting ng gover vernm nmental ntal stati tistics stics  SDMX guidelines: official icial stat atis istics tics al also o ap apply y to Inte tergover rgovernm nmental ntal Organizations nizations  Assumes Member ber States s endorse rse stati tistica stical l progr gram ammes mes of IOs, which is not always the case  Added d value ue: transformation of national data into international “Global Public Goods”, standardized and comparable across countries  Requires: dedicated attention to quality ity and good d gover verna nanc nce

  5.  To ensure data harmonization and comparability across countries and regions  To validate official data, to increase their accuracy and comprehensiveness ◦ Politically sensitive data may affect availability/quality of some official sources  To fill missing values/overcome confidentiality issues  To produce indicators not covered by official statistics: ◦ Difficulty of the NSS to address new demands (real-time data, new thematic areas)  But ON ONLY LY when all possibilities of using national data have been exhausted

  6.  Fertilizer tilizer Production, oduction, Trad ade e and nd Consu nsumpt ption ion ◦ Main source is official statistics from countries, but additional data from the International Fertilizer Association (MoU)  Early rly Warni rning ng and d Emergen ergency y Preparedne eparedness ss Ne Needs ds Real-time data not available from official sources ◦ Developing countries affected by emergencies lack the ◦ expertise needed Data from news agencies, extension services, satellite ◦ images; Crowdsourcing: Price data tool collects price information ◦ for food products on retail/wholesale markets  Voices es of the Hu Hung ngry ry Pr Projec ject t as a Case e Stud udy

  7. Iss ssue ue being ing Addres dressed sed  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 gap

  8. Methodol hodology gy and d Be Benefi efits ts ◦ 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. Quality ity Assura rance nce Mechanisms isms ◦ Ri Rigoro gorous us UN Procu ocureme ement nt Rul Rules s adopted for the selection of data supplier ◦ Methodology hodology Field eld-Tested: Tested: initially in 4 African countries ◦ Vali alidation tion St Studies udies: before adoption of a universal Scale of measurement ◦ Quality ality St Stamp: mp: FAO responsible for integrity and comparability of the different questionnaire language versions ◦ Su Sustainabi tainabilit lity: y: Long-term contract with Gallup Inc.; World Bank and WHO have similar project arrangements ◦ Capa paci city ty Deve velopmen lopment: t: FAO to assist countries to include the Scale in future national household surveys; countries to eventually to take over data collection function ◦ Extern ernal al Review: view: All micro-data and methodology for its analysis will be publicly available

  10.  IOs add value as provider of internationally comparable data as Global Public Goods  Use of non-official data with the ultimate goal of providing higher quality and wider scope of service  Various compelling reasons, including to fill gaps or meet emerging needs  Choice of official or non-official sources to be based purely on professional considerations  Be combined with capacity development work for eventual national handover and sustainability

  11.  Use of non-official sources may create tension between IOs and NSOs  Instruments needed to mitigate this tension: ◦ Full disclosure of methods/sources ◦ 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

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