Transcript P8.5.

WG ON DATA TEMPLATE AND
ANALYTICAL INDICATORS
3 MAIN GOALS
 to seek agreement for an international data template
consisting of High Frequency Indicators for the purpose
of early warning on economic and financial
vulnerabilities and detection of turning points in business
cycles along with the metadata;
 to review the availability and adequacy/relevance of
statistical methodologies and best practises for each
of the indicators in the data template taking into account
the components of the statistical production process;
 to explore the feasibility of centralized hubs at country
level led by country coordinators to ensure unified
dissemination practises of country data to regional and
international databases
DATA TEMPLATE - CRITERIA
 relevant indicators: to meet analytical and policy needs,
 reflect availability and quality of indicators and relevance
for individual countries,
 coordinate with other international initiatives,
 not to increase the reporting burden
DATA TEMPLATE - PROPOSAL
 traditional high frequency statistics, basis in system of NA,
illustrate main dimensions of economic developments
 3 tiers structure: tier 1 coordinate with PGI, tier 2 depends on
availability, more detail, tier 3 important for given country
 Possibility of future extension of the set of indicators – other
structural economic statistics, agricultural and rural statistics,
sustainable development indicators, etc.
 Examples of other sets of indicators: ESCAP - economic
statistics for Asia and Pacific, UNIDO – strategic indicators for
industrial statistics, Bureau of Economic Analysis, USA template of analytical indicators, PEEIs…
REFERENCE METADATA
 importance of reference metadata: for assessment of
the data, tool for further international harmonization of
compilation of statistics
 different types of metadata – short description, detailed
standardized description, quality profiles
 should have standardized format SDDS, SDMX
METHODOLOGICAL GUIDANCE
 facilitates compilation of good quality internationally
comparable statistics
 first inventory of existing guidance and best practices:
Knowledge base of Economic statistics (UNSD and National
institute of statistics and geography of Mexico) – identification
of gaps or outdated guidance (construction statistics, statistics
on new orders,services)
 Diagnostic tool – Diagnostic framework for NA and
supporting economic statistics – develops information
structure for planning, monitoring and evaluating
implementation of SNA – could be used also for the template
data
SINGLE ACCESS POINTS - DATA HUBS
 Existing situation – different institutions compile,
production might not be harmonized, overlaps
 Data hub which adheres to international statistical and
dissemination standards will lead to more harmonized
collection and dissemination of data
 Examples Europe – NSI, Eurostat
 Steps in designing national data hub –
1 decide on the scope of the data (e.g. data template)
2 develop metadata for indicators (structural and
reference metadata)
3 procedures for collection of data for the hub and for
dissemination of data have to be established
NEXT STEPS
Finalize the proposal of the contents of the data template
together with corresponding reference metadata.
Promote the compilation and dissemination of the
statistics and of the metadata by the countries.
Initiate the development of methodological guidance in
areas relevant for the data template where such guidance
is missing or is outdated.
Assess the situation in countries with regard to single
access point to statistics related to the data template.
POSSIBLE LONGER TERM STEPS
 Analyse the possibility of supplementing the data
template by indicators illustrating the developments of
countries in more complexity - structural economic
statistics, agricultural and rural statistics, sociodemographic, environmental and other statistics
showing the different aspects of sustainable
development
 Promote the use of standardized diagnostic tool for
assessment of the strengths and weaknesses of the
statistical production processes in the countries