ESTAT/EFTA/UNECE high level seminar on streamlining statistical production, 7-8 July 2011 The European Statistical System’s Vision Claudia Junker, Tomasz Urbanski Unit D1 “Statistical cooperation.

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Transcript ESTAT/EFTA/UNECE high level seminar on streamlining statistical production, 7-8 July 2011 The European Statistical System’s Vision Claudia Junker, Tomasz Urbanski Unit D1 “Statistical cooperation.

ESTAT/EFTA/UNECE high level seminar on streamlining statistical
production, 7-8 July 2011
The European Statistical System’s Vision
Claudia Junker, Tomasz Urbanski
Unit D1 “Statistical cooperation with European and Mediterranean countries”
Agenda
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Background of the vision
Current situation
Weaknesses of the current situation
Future business model
ESS strategy
Current state-of-play (vision implementation projects)
Example of a VIP - Eurogroup register
2
Background of the vision – why?
 Strategic discussions in 2008-2009
– Who
– How
– What
 New statistical law
– ESS defined
– European systems method – European approach to statistics
 Drivers for change:
– New emerging needs – available resources
– Need to reduce burden
– IT development
 Vision – ESS strategy
3
Current situation – “Stovepipe approach”
.
Weaknesses
Current situation
Weakness
User needs are defined in
an isolated manner
no cross-checks for synergies;
inconsistencies
As a result, data collections Single-purpose use of the data,
are isolated as well
inconsistencies
Regulations are made
separately by statistical
domain
Differences in concepts,
breakdowns, ref. periods…
Separate data
transmissions from NSIs to
Eurostat
Different channels and formats,
difficult follow-up, inconsistencies in
metadata
Variety of tools for data
validation and analysis
Inefficiency, lack of interoperability,
difficult quality control
Future business model (1)
.
Future business model (2)
.
ESS strategy (1)
Joint ESS strategy for the implementation of the
Commission Communication on the production
method for EU statistics”
10 principles of the joint ESS strategy
ESS strategy (2)
1. User needs
2. The “how” = the Vision
The “what” (priorities, programmes, products,
services) = separate strategic approach
3. Long-term approach
4. Implementation of strategy in annual and
multiannual programmes
5. Subsidiarity
ESS strategy (3)
6. Partnership in all forms
7. Modernisation through integration, standardisation,
“generic” ICT tools and methods
8. Vision principles as part of regular ESS dialogues
at domain level
9. Output-oriented framework legislation
10.Human resources development in the ESS is
strategy oriented
Current state-of-play
 VIP
–
–
–
–
–
–
Eurogroup register
Census hub
Common validation tools
NAPS to be extended
Data linking
Secure and easy access to confidential data
 ESSnets
 Sponsorship groups
 Reporting
VIP example - EGR
What is the EuroGroups Register
Central register kept at Eurostat in combination with national registers in each Member State,
altogether forming a network of registers on multinational enterprise groups and their constituent units.
EGR Central
system
Information stored in the EGR (v.1.0)
Starting with a population
of 5000 EU MNEs
Legal Unit
Enlarge to
10.000 EU MNEs
Enterprise
Global Group Head
(GGH)
ID information
Control
relationship
Ownership shares
Multinational
Groups
Economic
characteristics
(Employment,
Turnover, NACE
Rev. 2, etc.)
Ultimate
Institutional Unit
(UCI)
Reporting Unit
(RU)
Nationality
Example of Multinational Enterprise Group (MNE)
1. NL
(Antilles)
2. NL
3. CZ
4. AT
6. CZ
10. CZ
7. CZ
11. CZ
9. CZ
15
EGR ambitions
 to become the platform that supports the production of micro
based statistics on globalisation in Europe
 by offering statistical compilers access to integrated and upto-date register data on multinational enterprise groups
 by way of collecting, comparing and selecting information from
different commercial and institutional sources
 the EGR provides a set of pooled information that allows
statistical compilers to organise the data collection and to
produce statistics on the basis of shared and coordinated
information basis.
Who are these compilers, in the first place
 Inward FATS needs:
– list of resident enterprises controlled by a foreign enterprise
– the country of the decision center of the ultimate controling
institution (UCI) for those foreign controlled enterprises
 Outward FATS needs:
– list of resident UCIs who control foreign enterprises
– Information on foreign enterprises controlled by an resident UCI
 FDI needs:
– Identification of the Ultimate Investing Country/Controlling Parent
– Identification of the Special Purpose Entities
– Identification of FDI relations
Legal frame for Data Exchanges
REGULATION (CE) N. 177/2008
OF THE PARLIAMENT AND THE COUNCIL
20 February 2008
Art. 11
Data Exchange b/w
Commission (Eurostat)
and
National Statistical
Institute
Implementing
Regulation
N. 192/2009
11 March 2009
Art. 12
Data Exchange b/w
Commission (Eurostat)
and
 National Central Banks
Implementing
Regulation
N. 1097/2010
Esperienze tematiche in
corso in Istat in ambito
SDMX: l’EuroGroups
Register
Data flows (according to implementing regulations)
 Central EuroGroup Register (EUROSTAT)
EUROPEAN
CENTRAL BANK
National
Central Banks
National
Statistical
Institutes
EGR version1.0
EGR Project: Actors & Roles
Eurostat:
EGR
Manage
Programme
contracts
Manager
BvD &
Duns
Bradstreet
Commercia
lData
Sources
IT
company
IT development of
the Central system
EGR Central
System
operations
Coordinatio
n of
stakeholder
s
National
Central
Banks
National
Statistical
Institutes
Data
providers
to NSI
EGR
national
registers
operations
EGR
Users/
stakeholder
s
EGR users/
stakeholder
s
EGR
Steering
Group
Working
Group BR
&
Statistical
Units
Supervise
ESSnet
ESSnet
METHODOLOGY
TECHNICAL
SPECIFICATION
DATA QUALITY
MANAGEMENT
NETWORK EGR
DISSEMINATION
Future cycles
 The 3rd EGR cycle started in 2011 and will be finished
in December 2011. The number of MNEs has been
increased to 10 000
 From 2012 and on: EGR v2.0
EGR version2.0
Some future challenges of the EGR
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Provide EGR users with remote online access to micro data in
addition to currently used data transmission methods.

Develop further the EGR processes through an enhanced EGR
business model taking into account the interactions between the
central EGR and the national register environment.

Preparing the exchange of EGR data with central banks (approval of
implementing provision, authorisation of National Statistical
Institutes are needed).

Reviewing the current acquisition strategy for data from commercial
sources.
To know more about the EGR
 Access to the EGR web site: http://egr.istat.it