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

European ean Conference ference on Qual ality ty in Offici cial al Statistic tics (Q2014) 2014) - June ne 5th

th 2014

14

Carlo

• Cafiero

ro, , Pietro tro Gennari nari and Steve ve Katz tz FAO O Stati tistics stics Divi vision sion

 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

 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

• ffi

fici cial al sources rces

(HDR, MDG database, Big Data)

 Result

ulting ing in specifi ecific UNSC recommenda mendations: ions:

• 37th Session (2006) – On imputation and SCB
• 42nd 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

• ffic

ficial al sources rces

• 2006, 2009, 2010, 2011, 2012
• 2013: adoption of “Recommended Practices on the Use
• f non-Official Sources in International Statistics”

 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

• 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

 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
• fficial 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

 Fertilizer

tilizer Production,

• duction, 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

Iss ssue ue being ing Addres dressed sed

 Monitoring Food Insecurity is crucial to fight

hunger

 Post 2015 Development Agenda requires creation

• f 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

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
• r 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

Quality ity Assura rance nce Mechanisms isms

• Ri

Rigoro gorous us UN Procu

• cureme

ement nt Rul Rules s adopted for the selection

• f 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

 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

• r 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

 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