Statstical Quality Control The experience of the Banco de

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Statistical Quality Control
The experience of the Banco de Portugal
António Agostinho
Maria José Valério
Banco de Portugal
Statistics Department
Statistics Audit Unit
Q 2008 - European Conference on Quality, Rome July 2008
Statistics Quality Control: the experience of the Banco de Portugal
Outline
1. The Statistics Department
2. Quality Control Procedures
3. Statistics Audit
4. Institutional Cooperation
5. Conclusions and Prospects Ahead
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Statistics Quality Control: the experience of the Banco de Portugal
1. Statistics Department
 Created in 1997 to cope with rising statistical requirements (in
particular in the framework of the Monetary Union)
 Centralized statistical function allowing:
 The concentration of the available statistical skills;
 The increase of capacity to face the challenges resulting from
building up the European System of Central Banks;
 The improvement of efficiency gains and the enhancing of
statistical quality control at all levels of the statistical process
(collection, processing, analysis and dissemination);
 The adoption of consistent methodological approaches; and,
 An easier data sharing and coordination among all the staff in
charge of statistical production.
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Statistics Quality Control: the experience of the Banco de Portugal
1. Statistics Department
 Organization Chart
Executive Management
Statistics Dissemination Unit
Total: 10 (Univ. Deg. 8)
Total:2 (Univ. Deg. 2)
Central Credit Register
Information Unit
Total: 14 (Univ. Deg. 3)
Statistics Audit Unit
Total: 3 (Univ. Deg. 3)
Staff Support Unit
Total: 13 (Univ. Deg. 3)
Methodological
Developments Unit
Total: 3 (Univ. Deg. 3)
National Financial Accounts and
Securities Statistics Division
Total: 23 (Univ. Deg. 17)
Balance of Payments and Int.
Invest. Position Statistics Division
Total: 37 (Univ. Deg. 15)
Employees with university degree
88 ( 56% )
Other employees
69 ( 44% )
Total
Monetary and Financial
Statistics and Central Credit
Register Division
Total: 20 (Univ. Deg. 11)
157
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Central Balance-Sheet
Division
Total: 32 (Univ. Deg. 23)
December 2007
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Statistics Quality Control: the experience of the Banco de Portugal
1. Statistics Department
 Four Divisions
Four different areas of statistical
production
 Vertical organization in each Division
 Regular hierarchical statistical production meetings (on a
monthly basis)
 Internal technical task forces to deal with transversal issues
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures
 Quality control procedures along all the phases of statistical
production process:
 Data collecting
 Data processing and analysis
 Statistics dissemination
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures

Data Collecting - 1
 Data collecting is based on legal provisions
 Involvement of the reporting institutions is pursued
 For more complex changes in collection systems working groups are
created
 Detailed reporting instructions and handbooks are delivered to the
reporting institutions
 Appointment of contact persons – respondents for each specific
statistical data submission (training sessions and regular meetings)
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures

Data Collecting - 2

Specific designed software is made available to the reporting
institutions - IT tests and consistency tests on elementary data

BP net – a secure electronic communication system between
the Banco de Portugal and the other financial institutions

Feedback to reporters – the CCR and CBS experiences

Statistical reporting indicators
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures

Data Collecting - 3
Quality Assessment Reports – Major Financial Groups
 Cross-checking data reported by MFIs:
 MFIs’ report to money and banking statistics (MBS) versus
accounting data
 MFIs’ report to MBS versus report for Central Credit Register
 MFIs’ report to MBS versus data collected/reported for
securities statistics
 Securities portfolios versus securities issues
 MFIs’ report to MBS versus report for BoP statistics (external
assets and liabilities)
 High level periodical statistical meetings
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures

Data processing and analysis - 1

Full compliance with the international methodological
framework:


concepts and definitions

scope of statistics

classification and sectorization systems

valuation rules

recording principles
Adjustments and/or appropriate substitute measures are
developed when the source data are not in accordance with
the standards
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures

Data processing and analysis - 2

Validation tests performed on individual and/or aggregated
data and also at different phases of data processing – source
data, intermediate data and final statistical data:


internal consistency

temporal consistency

cross-check control
Additional control in the framework of Financial Accounts
compilation
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures


Statistical Dissemination - 1
Meeting the users’ needs and the statistical reporting requirements of
International Organizations


Main features of the statistics dissemination:

Release in time according to a pre-announced schedule

Clear and understandable presentation

Workshops with media and media references monitoring

Monthly, free of charge, to all users at the same time, in the
BdP website:
• Statistical Bulletin (also available in paper and CD-ROM)
• BP stat – allows online access to the interactive database of
BdP
Assistance to users – contact points in BdP website and in the
Statistical Bulletin
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures

Statistical Dissemination - 2
 BP stat | Statistics online | facilities:
 Portuguese and English versions;
 Data under two formats: time series and multidimensional
analysis;
 Data in hierarchical structure – tree of statistical domains;
 Data and metadata may be accessed, downloaded or printed;
 Internet links to the relevant metadata references;
 Predefined and/or personalised tables (“Favourites” option);
 “Alert” messages by email to the users; and,
 Glossary, search, calendar and help options are available.
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Statistics Quality Control: the experience of the Banco de Portugal
2. Quality Control Procedures

Quality Control Matrix
 Appointment of contact persons
 Detailed reporting instructions and handbooks
 Regular meetings with the reporting institutions
Outside the
production
cycle
 Training sessions
 Feedback information to the reporters
 "Quality Assessment Reports“
 High level periodical statistical meetings
 Internal technical task forces
BP net – electronic
communication system
During the
production
cycle
Specific designed
software - IT tests -
 Validation tests:
 internal consistency
 temporal consistency
 cross-check control
 Regular statistical production meetings
Consistency tests on
elementary data
 Additional control in the framework of Financial
Accounts
Totally automated
Judgment needed
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Main purposes (1)
 Analyse and evaluate the different phases of statistical
production procedures in place, from source data
collection up to final statistics compilation and
dissemination
 Analyse the organizational and functioning aspects, in
particular evaluate the burden and the share of functions
and responsibilities in the statistical production process
 Evaluate the efficiency of the procedures in place,
identifying the good practices as well as improvement
needs
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Main purposes (2)
 Contribute to enhance methods and applied techniques
and to improve the statistical production quality by
issuing, when it applies, suggestions/ recommendations on
current practices or by suggesting new procedures and/or
organizational arrangements
 Encourage and promote the share and comparison of
good practices and procedures among the different areas
of the Statistics Department
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Methodological approach – AK list (1)
A.
Initial appointment with the responsible of the unit in
charge of the statistics under audit
B.
Collect, organize and analyse the documentation made
available by the unit
C.
Submission of the “Self Assessment Questionnaire”
D.
Fieldwork
E.
Definition of a flow chart on the information circuit
F.
Preparation of the Check List of procedures
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Methodological approach – AK list (2)
G.
H.
I.
J.
K.
Joint analysis with the unit’s manager of the Self
Assessment Questionnaire
Graphical assessment of the statistical production system
(radar chart)
Report on the statistical audit process (1st draft) –
submission to the unit under audit
Joint evaluation of the comments from the unit under
audit
Final report on the statistical audit process – submission
to the Head of the Statistics Department
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Self Assessment Diagram (1)
 The self assessment questionnaire is the basis for the
presentation of the radar chart
 Two sets of answers to the questionnaire – one, in the
beginning of the audit process, from the unit under audit
and another, at the end, from the Statistics Audit Unit – are
contrasted graphically in a statistical production
assessment diagram
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Self Assessment Diagram (2)
Self Assessment Diagram
(Securities Issues Unit (SIET)
Accessibility
Relevance
Staff Functions Share
5
Metadata Accessibility
System Adequacy
4
Dissemination Clearness and Coverage
User Satisfaction
3
2
Consistency with other Statistics
Overall Relevance
1
Serviceability
0
Temporal Consistency
Transparency Degree
Dissemination Punctuality
Integrity
Overall Coverage
Methodological Soundness
Intermediary and Final Data Validation
Reporting Compliance
Methodological Soundness Degree
Elementary Data Quality
SIET Unit
Accuracy and Reliability
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1 - Very low
2 - Low
3 - Medium
4 - High
5 - Very high
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Self Assessment Diagram (3)
Self Assessment Diagram
(Securities Issues Unit (SIET) versus Statistics Audit Unit (NAE))
Accessibility
Relevance
Staff Functions Share
5
Metadata Accessibility
System Adequacy
4
Dissemination Clearness and Coverage
User Satisfaction
3
2
Consistency with other Statistics
Overall Relevance
1
Serviceability
0
Temporal Consistency
Transparency Degree
Dissemination Punctuality
Integrity
Overall Coverage
Methodological Soundness
Intermediary and Final Data Validation
Reporting Compliance
Methodological Soundness Degree
Elementary Data Quality
SIET Unit
NAE
Accuracy and Reliability
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1 - Very low
2 - Low
3 - Medium
4 - High
5 - Very high
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Overall assessment of the statistical audit operations (1)
The overall assessment is quite significant:
1.
The deep interest and good collaboration revealed by
those intervening in the statistical production systems
audited
2.
These operations allow a detailed assessment on the
current features of the statistical systems in place
3.
The possibility of conveying upwards the desires and
aspirations as well as the shortcomings faced by the
responsibles of the units under auditing, which,
otherwise, might encounter more constraints before
being acknowledged
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Statistics Quality Control: the experience of the Banco de Portugal
3.Statistics Audit

Overall assessment of the statistical audit operations (2)
4.
The share in all Department of procedures and good
practices in place
5.
Most of the suggestions/ recommendations raised by the
statistical auditors and accepted by the units under audit
are already being implemented or are included in the
unit’s planning for the years ahead
6.
The relevance of the follow-up of the implementation of
suggestions/ recommendations
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Statistics Quality Control: the experience of the Banco de Portugal
4.Institutional Cooperation
More efficient statistical production processes:

Facilitates data sharing and good practices’ diffusion;

Promotes the use of harmonized statistical
methodologies - thus improving statistical data
comparability;

Helps reducing reporting burden and data redundancy;
and,

Enhances the clarification of responsibilities and areas of
competence of the parties involved.
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Statistics Quality Control: the experience of the Banco de Portugal
4.Institutional Cooperation
New Statistical National Law (May 2008)
Some highlights:
 Banco de Portugal became a national statistical authority
in the same level playing field as Statistics Portugal,
without prejudice of their independence;
 This new law emphasizes the importance of ensuring an
efficient cooperation and the need for them to develop
models of cooperation considered as adequate to fulfil
their role in the NSS; and,
 The principles of the European Statistics Code of Practice
are also formally adopted in this new legal framework.
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Statistics Quality Control: the experience of the Banco de Portugal
4.Institutional Cooperation
In national terms (1)
-
In the framework of the High Council of Statistics (HCS) – the body on
top of the Portuguese NSS;
-
Other bilateral/multilateral initiatives:
1) 1998 - Protocol with Statistics Portugal (SP) and Ministry of Finance
(MF) in the field of IMF Special Data Dissemination Standard (SDDS);
2) 1998 - Protocol on the compilation of Portuguese National Accounts shared responsibility between SP (non financial accounts) and BdP
(financial accounts) – updated in 2001 and 2007;
3) 1999 – Protocol with SP for the joint conduction from 2000 onwards, in
partnership, of a Quarterly Survey on non Financial Corporations;
4) 2004 – Two protocols in the field of Balance of Payments, with SP and
General Directorate of Tourism, focusing on a survey of cross-border
movement of travellers and a survey on international tourist
expenditure (the last was conducted in 2007);
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Statistics Quality Control: the experience of the Banco de Portugal
4.Institutional Cooperation
In national terms (2)
5) 2006 - Protocol with SP, (the first was signed in 2000) for the
conduction of a Survey to the Households Indebtedness and Wealth;
6) 2006 – Protocol with SP and MF, on the compilation of General
Government Statistics, Public Debt Statistics and analysis of
Excessive Deficit Report;
7) 2006 – Joint work with SP for the development of a unique File of
Statistical Units for the whole NSS;
8) 2006 – Protocol with SP, MF and Ministry of Justice to define a single
electronic data submission with data from the financial statements of
non financial corporations – IES (formally created by Decree-Law n.
8/2007 of 17th January).
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Statistics Quality Control: the experience of the Banco de Portugal
4.Institutional Cooperation
At international level
-
-
With ECB and the other EU national central banks in the
framework of ESCB;
With Eurostat and the EU national statistical offices under the
umbrella of the Memorandum of Understanding (MoU);
In the framework of CMFB (currently the Head of the BdP
Statistics Department is also part of the CMFB Executive Body);
With other international organizations namely IMF, BIS, World
Bank and OECD;
Technical assistance – several activities in particular, but not
exclusively, with the national central banks ant the national
statistical offices of the Portuguese-speaking Countries.
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Statistics Quality Control: the experience of the Banco de Portugal
5.Conclusions and Prospects Ahead
The appraisal on the work developed so far is quite significant.
Further improvements:
 Define a set of structured quality indicators, to be compiled
on a regular basis, on the quality of the statistical production;
 Improve the already existing quality manuals, exploring further
these documents both in a user’s oriented perspective and in a
statistical quality control framing;
 Enlarge the feedback information currently produced and
returned to the reporting institutions;
 Define mechanisms to have an adequate feedback from
statistics’ users (on statistical data already currently available
and on the users’ future needs).
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Statistics Quality Control: the experience of the Banco de Portugal
Thank You
for your Attention
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