HoU meeting 14 Nov

Download Report

Transcript HoU meeting 14 Nov

2.3
Implementation of
the European Statistics Code of Practice
Yalta
September 2009
Pieter Everaers, Eurostat
Implementation of the Code of Practice
1. The European Statistics Code of Practice
2. Eurostat implementation strategy
3. Monitoring and Reporting
4. Quality label for European official statistics
7/17/2015
2
The European Statistics Code of Practice (1)
Example of indicators:
I. Where
European
Statistics are
Example
of indicators:
on administrative data, the
3 headings – 15 principles – 77 indicators based
definitions
and the
concepts
used for
I. Timeliness
meets
Example
of highest
indicators:
the administrative
purpose must be
European
and international
a(…)
good approximation
dissemination
standards. to those
• Institutional environment
required
for statistical
purposes.
Professional independence, Mandate for data
collection,
V. Statistical
release dates
and times
II. A standard
daily
time
is
set
for
the
are pre-announced.
Adequacy of Resources, Quality commitment,
Statistical
II.of
InEuropean
case of statistical
release
Statistics.surveys,
confidentiality, Impartiality and objectivityquestionnaires
areequal
systematically
VI. All users have
access to
tested
prior
to
the
data
collection.
III. Periodicity
of
European
Statistics
statistical releases at the same time
takes
intoany
account
user requirements
and
privileged
pre-release
• Statistical processes
III.
Survey
designs,
sample
as much
as
possible.
access
to any outside
user is
Sound methodology, Appropriate statistical
procedures,
Nonselections,
and
sample
weights areIn
limited, controlled and publicised.
well
basedthat
andfrom
regularly
reviewed,
IV. Any
the
excessive burden on respondents, Cost
effectiveness
thedivergence
event
leaks
occur,
prerevised
or
updated
as
required.
dissemination
time
schedule
is
release arrangements should be
publicised
in advance,
explained
and a
revised
so as to ensure
impartiality.
• Statistical output
IV.
operations,
data entry, and
new release
date
set.
(…) Field
Relevance, Accuracy and reliability, Timeliness
punctuality,
coding and
are routinely
monitored and
revised
asresults
required.
V. Preliminary
of acceptable
Coherence and comparability, Accessibility
and clarity
(…)
aggregate quality can be disseminated
Revisionsuseful.
follow standard, wellwhenVI.
considered
established and transparent
procedures.
3
The European Statistics Code of Practice (2)
addresses
•Users:
•to show that statistics are trustworthy, objective and reliable.
•Governance authorities (Government, Ministries):
•to ensure that statistical services are professionally organised and
resourced, promote independence.
•Respondents:
•to show that confidentiality is protected and response load controlled.
•Statistical authorities:
•to provide benchmarks and values that should be adopted to produce
and disseminate high quality statistics; to serve the organisation’s public
image.
•Staff:
•to provide guidelines for managers and staff that promote sharing of
values and contributes to the integration of new colleagues, help to create
a high quality workplace and a climate of integrity and excellence.
7/17/2015
4
The European Statistics Code of Practice (3)
The Code of Practice and the UN Fundamental Principles
Statistical processes
Statistical output
UN
Fundamental Principles
3
UN
Fundamental Principles
5, 9, 10
Code
of
Practice
Institutional environment
UN
Fundamental Principles
1, 2, 4, 6, 7
8
5
Implementation of the Code of Practice in the ESS
1. The European Statistics Code of Practice
2. Eurostat Implementation strategy
3. Monitoring and Reporting
4. Quality label for European official statistics
7/17/2015
6
ESS Implementation strategies (1)
• 2005 Self-assessments by all NSIs based on a common
questionnaire
7.
For how many surveys do you assess the response burden?
> 75%
25-75%
< 25%
none
Share of surveys ....................................................................................................
8.
Does your organisation have a definition of response burden …
Yes
No
…. for individual respondents?
… for institutional respondents (e.g. enterprises)?
Detailed questions for each indicator, strength/weaknesses, improvement actions
• Protocols on selected issues
• Extension to other data providers at national level
• ESS good practices
7
8
Implementation of the Code of Practice in the ESS
1. The European Statistics Code of Practice
2. Eurostat Implementation strategy
3. Monitoring and Reporting
4. Quality label for European official statistics
7/17/2015
9
Monitoring and Reporting (1)
• Surveillance
 ESS-wide peer reviews during 2006-07
 Regular reporting & monitoring of improvement actions
 European Statistical Governance Advisory Board
• Transparency
 2006 Report to the EFC on self-assessments
 Publication of peer review reports
 Eurostat quality website
 2008 Report to EP and Council
10
Monitoring and Reporting (5)
ESS peer reviews
 Objectives
–
–
–
–
monitoring of the implementation of the Code of Practice
to boost quality, to enhance credibility
identification of ESS benchmarks and common difficulties
sharing of ESS best practices and knowledge transfer
 Scope
– 27 EU MS + 4 EFTA MS + Eurostat
– institutional environment and dissemination practices
– co-ordination role of NSI
 Mechanics
– common guidelines and assessment basis
fully met /largely met/ partly met /not met
– 2 ½ days, 3 peers, information package, various interlocutors
7/17/2015
11
Results of the ESS peer reviews
High overall ESS compliance levels
Number of instances (indicator x statistical authority)
12%
1%
Fully met
Largely met
Partly met
25%
62%
Not met
12
Results of the ESS peer reviews: Strengths
Strong in practice,
legislation to be
supplemented in some
SAs to reinforce
independence
Professional Independence
4
Accessibility and clarity
High diversity
across ESS;
lack of
transparency in
some Impartiality
cases and objectivity
Strong legal basis,
impressive
Statistical confidentiality
safeguards across
the ESS; excellent
practices in microdata access
3
2
sufficient legal
mandate for NSI,
practical difficulties
to
ESS average
use admin. data
Mandate for data collection
1
0
Adequacy of resources
Quality commitment
13
Results of the ESS peer reviews:
Areas for improvement
ESS average
Professional Independence
High service
4
orientation;
Broadly
modern
satisfactory
3
Accessibility and clarity
Mandate for data
collection some
dissemination
resources,
2
channels;
severe
1
some SAs need
exceptions and
to improve
risks for
0
metadata and
Impartiality and objectivity
Adequacy of meeting
resources future
accessibility
demands
Statistical confidentiality
Lowest compliance
levels
compared to other
Quality
commitment
principles,
improvements needed
on the ESS- wide scale
14
15
ESS best practices:
Compliance with the Code of Practice
by other national producers of European Statistics
(not the NSI)
 Statistical law covering all actors at national level
 delineation of the statistics function
 co-ordinated community (recruitment, training, ethical standards)
 common dissemination platform
 labelling/certification mechanism
16
Implementation of the Code of Practice in the ESS
1. The European Statistics Code of Practice
2. Eurostat Implementation strategy
3. Monitoring and Reporting
4. Quality label for European official statistics
7/17/2015
17
Quality label for European official statistics (1)
Objectives
 Guidance for users
 Campaign for the Code
 Positioning of official statistics in the information market
 Improving quality
 Improving quality reporting
 Strengthening the co-ordination of production of statistics at
European level
7/17/2015
18
Quality label for European official statistics (2)
Compliance with Code
Labelling of European official
statistics signalling compliance
with the Code to users
time
19
Thank you for your
attention!
http://ec.europa.eu/eurostat/quality
20