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African Centre for Statistics
United Nations Economic Commission for AfricaUnited Nations Economic Commission for Africa
Addressing Data Addressing Data Discrepancies in MDG Discrepancies in MDG
Monitoring: The Role of UN Monitoring: The Role of UN Regional CommissionsRegional Commissions
Workshop on MDG Monitoring 5-8 May 2008, Kampala, Uganda
Ben Kiregyera, Ph.D.Ben Kiregyera, Ph.D.DirectorDirector
African Centre for African Centre for StatisticsStatistics
Outline Background
Data discrepancies: potential role for the UN Regional Commissions
Meeting data challenges: National Strategies for the Development of Statistics (NSDS)
The way forward 2
Background
3
MDG monitoringThe Millennium Declaration (2000)Mechanisms in place to monitor and
evaluate the MDGs include the establishment of the IAEG on MDGs Indicators
Coordination among international agencies and an attempt to fully use available data at international level
There are still a number of challenges hampering the smooth monitoring of MDGs
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Concerns with the reporting mechanism (1) Report of the Friends of the Chair of
the UN Statistical Commission on MDG indicators (2006) identified following challenges: inadequate mechanisms for
reporting to international agencieslack of coordination among data
sources within countriesinternational agencies visit countries
to collect data rather than build capacity 5
indicators in countries often differ between countries and agencies because of country priorities
for most goals, more data available at national level & used in national MDG reports than used at international level
poor metadata for some indicators
use of imputation to fill data gaps at international level
data discrepancies between national and international sources
Concerns with the reporting mechanism (2)
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Concerns with the reporting mechanism (3)
Not all available data are used by agencies responsible for providing the MDG indicators
In many cases population estimates used to produce MDG indicators are not the same
Inadequate coordination within the country and between the country and international organizations in charge of reporting on given indicators 7
Data discrepancies: potential role of UN
Regional Commissions
8
Strengthening the role of UN RCs in MDG
monitoring Several calls for UN RCs to be
involved in reconciling discrepancies between national and international data on MDGs:Report of the Friends of the Chair on
the MDG indicators (E/CN.3/2006/15)Report to the Secretary General on
Indicators for monitoring the MDGs (E/CN.3/2007/13)
IAEG meeting on MDG Indicators (Paris, November 2007)
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Rationale behind the UN RCs involvement
UN RCs: not directly responsible for collecting data on the MDGs
Play a pivotal role and serve as a useful bridge between countries and international agencies
Strong knowledge of country statistical systems
Close collaboration with countries in their respective regions
Potential to play an important role to address the issue of MDG data discrepancies between national and international estimates
10
What the UN RCs have been doing
Providing technical assistance to countries: Statistical advocacy Assessments Development Account Project on MDGs in
Africa (ECOWAS, SADC)
Regional databases and reports Establish and/or improve coordination
mechanisms at country and regional levels through various initiatives (capacity building initiatives)
UNECA’s role in the MDG Africa Working Group (established 2007) 11
Cascading framework for meeting data challenges
in Africa
MAPS
RRSF
International
Regional
NSDSNational
African Charter for Statistics
Sub regional
Meeting data challenges: Designing
National Strategies for the Development of Statistics (NSDS)
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National Strategy for the Development of Statistics
Coordination is paramount in the delivery of coherent information for MDG monitoring
Designing NSDS is overarching action point of MAPS & headline strategy of the RRSF
NSDS: Assists to mainstream statistics in national
development policies, processes & budgetsA plan aimed at strengthening statistical capacity
across the entire NSSComprehensive and coherent framework: cover entire
NSS & all sectorsFramework for mobilizing, prioritizing use of
resources & coordinating donor assistance to countries
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Types of coordination Coordination between data producers and
users Inter-institutional (horizontal & vertical –
sub-national) coordination among data producers
Technical coordination of data sources: standardization of concepts, definitions, classification
Coordination between data producers and research and training institutions (academic statisticians/official statisticians)
Coordination of partners at country level 15
Partially coordinated NSS
Labour
Education
Transport
etc
Agriculture
Health
NSO
16
Fully coordinated NSS
Labour
Education
Transport
etc
Agriculture
Health
NSO
17
NSDS
SSPS(Health)
SSPS – Sector Strategic Plan for Statistics
Approach gives greater meaning to concept of National Statistical System
(liberating effect)
SSPS(NSO)
SSPS(Edn. )
Bottom-up approach
SSPS(Agric)
NSDS process
Rationale for integration of sectors
A lot of development data are collected, compiled by sectors:
Agriculture, Health, Education, Labour, etc
Need for voice in sectors and NSS Need to reinforce the capacity of
sectors to produce reliable information
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Scope of the NSDS1. Organizational development
(statistical awareness, coordination, networking, information sharing, statistical legislation – official statistics, professional autonomy, data
access)
2. Institutional development (Management Information Systems, Capacity
building - human resources, staff motivation, etc)
3. Infrastructure development and equipment (offices, survey infrastructure, IT infrastructure
including databases, library, etc.) 20
4. Data development (enhancing data quality, improving censuses and surveys, improving administrative data, civil/vital
registration system, new statistical products – poverty maps)
5. Data management (data archiving, integration, analysis and mining,
storage and security, databases, reporting including to agencies, dissemination, access &
use)
6. Implementation, monitoring, evaluation and reporting (action plan, policies, performance
indicators, targets, benchmarking, reporting system)
7. Proposed budget and financing (recurrent and development budget, investment plan - basket funding, sustainability)
21
The way forward
22
RC’s assessment of data discrepancies: a first step Examination of current data sources:
census, survey or administrative system Review national agencies responsible
for data collection and coordination mechanisms
Sustainability of data production: periodicity of censuses, surveys
Examination of data quality issues: coverage, consistency, reliability, timeliness and disaggregatability
The feasibility of using estimation or imputation methodologies
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Sharing the outcomes of the assessment
Present the results of the assessment to the November 2008 IAEG
Consolidation of assessments from all UN RCs
Organize regional workshops to discuss existing discrepancies and remedial measures, involving all stakeholders 24
Follow up actions Develop subsequent, targeted
capacity building activities:TrainingTechnical or financial support
Promote and strengthen the coordination at the national level within NSDS
Strengthen the coordination between national and international agencies to improve data availability and consistency 25
Thank Thank you!you!
African Centre for Statistics
Visit us at http://www.uneca.org/statistics/
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