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Title: Overview%20of%20European%20Data%20from%20Official%20Statistics


1
Overview of European Data from Official
Statistics
  • Roxane Silberman
  • CNRS/Réseau Quetelet and DwB coordinator
  • With the support of Cyril Jayet, Marie Cros,
    Raphaëlle Fleureux, Alexandre Kych, Benoît
    Tudoux (CNRS-RQ)
  • DwB WP3 and WP5 - CESSDA PPP WP10
  • DwB training course Working with data from
    Official Statistics particularly the European
    Labour Force Survey

Bucharest, 2nd DwB Training Course, February
13-15, 2013
2
Introduction
  • Main course on SILC, Eurostat microdata
  • Yet it is important to have a larger overview of
    official microdata in Europe
  • European integrated microdata (Eurostat) come
    from national microdata that are quite diverse
  • Raises a lot of methodological issues about
    comparability ex. SILC
  • May be complemented
  • by related microdata available at national level
    more detailed, other variables, and sometimes on
    a longer period
  • by other microdata available at European and
    national levels
  • Provide a short and comprehensive overview of the
    rich resources of official microdata in Europe
  • What is available at national and European level
  • Relations between the different levels
  • How and where to access these microdata
  • While helping locating in this landscape the
    SILC, related national microdata and
    complementary sources on similar topics

3
Outline
  • Historical background for national and European
    microdata and consequences
  • Overview of official microdata in Europe
  • Integrated European microdata (Eurostat)
  • SILC
  • Other European microdata
  • National microdata collected and harmonized in
    European databases
  • Related topics to SILC
  • Other national microdata
  • Related topics to SILC
  • How to to find information and metadata ?
  • How access microdata across borders ?
  • Eurostat access and other European microdata
    access
  • Transnational access to national microdata
  • Support by DwB
  • Transnational access calls
  • CIMES

4
I. Historical backgrounds for national and
European microdata and consequences
  • A vast, complex and moving perimeter
  • Historical backgrounds for national microdata
  • Historical backgrounds for European microdata
  • Some consequences for research

5
Official microdata a vast perimeter
  • Different words (official, government, national
    etc..)
  • In any cases, statistics provided by government
    bodies
  • A larger perimeter than NSIs and Eurostat
  • Microdata provided by
  • National level
  • National Statistical Institute
  • National Statistical administrations coordinated
    by the NSI fiscal data
  • Central banks
  • Government agencies particularly those in charge
    of Social security, health, pensions
  • Local authorities
  • Number of government bodies producing and
    providing data vary according to the organization
    of the each statistical system and degree of
    centralization
  • European level
  • Eurostat
  • European Central Bank
  • European Commission and agencies
  • Databases held by universities

6
complex and moving
  • Perimeter may change according to the decision of
    governments/NSIs
  • See France
  • Customs statistical department went out and in
  • Fiscal data recently included as a Statistical
    department coordinated by INSEE
  • Cereq microdata on transition from school to work
    went out
  • Household finance and consumption surveys (HFCS)
    move to central banks coordinated by the BCE
  • Mixed status for some government agencies (social
    security, unemployment )
  • What about data to be certified by NSIs ?
  • Under different legal framework (surveys,
    administrative data, business data, fiscal data,
    health data, financial data ) with consequences
    for access
  • Perimeter does not necessarily cover similar data
    in the different countries depending on role of
    other producers (universities ) and historical
    changes (Eastern countries recently joining the
    EU)

7
Different types of microdata
  • Censuses or registers longitudinal samples from
    censuses
  • Individual and households surveys birth
    cohorts and panels
  • Business surveys
  • Administrative data (frequently longitudinal
    databases)
  • Combined datasets
  • Administrative datasets
  • More common in countries based on registers
  • Now increasingly the case in all countries (yet
    requiring a common identifier)
  • Administrative data and surveys

8
Historical backgrounds for national microdata
  • Statistical systems initially built at national
    level
  • From diverse sources and bodies, piece by piece,
  • Toward an increasing coordination role of the NSI
  • Yet keeping traces from the construction even in
    centralized statistical system where some bodies
    still remain apart.
  • Important differences
  • Surveys and registers countries
  • Centralized vs decentralized/coordinated
  • Political systems
  • Regional autonomy (Spain)
  • Federal system (Germany and the landers)
  • UK and Scotland
  • France and overseas departments
  • National and local authorities gaining importance

9
Main topics
  • Similarities
  • Households Demography, migration ,family,
    employment, education, budget and income
  • More variety
  • Housing, transportation, health, social networks,
    opinions, social mobility
  • Business
  • Wages, work organization, innovation
  • Increasing number of administrative data combined
    to lower the respondent burden (firms more
    reluctant to answer)
  • Number of official datasets may vary depending
    on
  • Registers or surveys systems
  • Degree of centralisation
  • Political changes Eastern countries
  • Role of the universities (France vs Germany)
  • Examples from first results of DwB WP5 short
    list in Eastern countries in line with Eurostat
    microdata, longer list in France, medium in
    Germany

10
Historical background European level
  • Increasing harmonization process at international
    level since WW2 led by international
    organisations (UN, OECD) mostly by encouragement
    and persuasion
  • European framework specific as there is a
    political and legal framework
  • European Statistical System development started
    with the CECA during the 50ies, progressively
    developed during 30 years, new start and
    developments since the 90ies towards more
    integration
  • Harmonization process for variables,
    classifications, methodology
  • Yet relying frequently on pre-existing national
    microdata and on the subsidiarity principle
  • As a consequence,
  • European integrated microdata are based on
    national microdata from various sources (surveys,
    registers, administrative basis) depending on
    countries
  • Methodological problems (see Training course part
    3 on SILC)
  • Dissemination under European bodies yet access to
    national part under decision of countries
  • Not all integrated microdata include all
    countries
  • Access still burdensome even if progress
    expected in the future
  • Level of anonymization high due to differences in
    countries size and in countries requirements
  • Yet access to national part may be possible at
    national level.
  • May be more detailed and accessible in some
    countries
  • May include other questions and variables
  • May offer a wider historical perspective if
    pre-existing in the countries (yet not for all
    countries)
  • Yet the harmonization process may impact the
    series and determine breaks in the series at
    national level

11
Some consequences for working with data
  • At European level
  • European microdata may gather data coming from
    surveys or from registers
  • Some harmonised databases may include
    government and non government microdata
  • At national level
  • Depending on the degree of centralisation for
    production and/or dissemination information and
    access are more or less fragmented and may have
    move from one body to another one
  • NSI unique or main provider (Netherlands) vs NSI
    and Statistical departments and other government
    bodies (France)
  • Recently the French Income survey moved from the
    NSI to the Central Bank
  • Depending on the legal status access may be more
    or less accessible for researchers
  • For comparative research projects requiring
    access to national microdata
  • Researchers face silos for information and
    access

12
II. European and national microdata
  • Three subsets from a European perspective
  • European integrated microdata
  • National microdata harmonized at European level
  • Other national microdata for comparative research

13
A. European integrated microdata
  • Produced and provided at national level and
    integrated and provided at European level by
    European government bodies
  • To remind national part may differ at national
    level and at European level
  • A part are pre-existing surveys integrating
    harmonization requirements
  • Eurostat
  • European Central Bank,
  • European Commission and other European government
    bodies
  • Others under EU regulations or recommendations of
    Eurostat

14
A.1 Eurostat microdata
  • Labour Force Survey (LFS)
  • European Community Household Panel (ECHP)
  • Statistics on Income and Living Conditions (SILC)
  • Adult Education Survey (AES)
  • Community Innovation Survey (CIS)
  • Structure of Earnings Survey (SES)

15
Related national microdata for LFS and SILC
  • LFS a wider historical perspective in some
    cases
  • SILC different sources
  • More variables in some cases
  • Surveys and registers

16
Labour Force Survey (LFS) at national level a
wider historical perspective
Countries Years CUF PUF SUF On-site access Remote Execution Remote Access
Czech 1995-2011
Estonia 1995-2011 X X X X
Finland 1969-2011 X X
France 1962-2010 X X X
Hungary 1992-2011 X X
Italy 2004-2011 X
Latvia 1996-2011 X
Lithuania 1998-2011 X X
Norway 1972-2011 X X
Poland 2000-2011
Portugal 1992-2011
Slovakia 2002-2011 X
Slovenia 1997-2011 X X
Spain 1964-2011 X X
Switzerland 1991-2011 X
UK 2002-2010 X X X X
17
SILC and the Estonian Social Survey
  • ESS is the Estonian branch of a pan-European
    survey of income and living conditions called the
    EU-SILC (). Statistics Estonia, however, has
    added questions, which are of interest to the
    domestic consumers of Estonia, to the
    EU-commissioned survey, and attempts to have the
    survey be a combination of Estonian and European
    data requirements.
  • In 2004, four modules were added (). They were
    all commissioned by Estonian domestic consumers.
    The topics of the four modules concerned social
    contacts family attitudes and political views
    crime, violence and feeling of security and
    ethnic integration.
  • In 2005, there were three modules in ESS one by
    order of Eurostat and the other two by domestic
    consumers. The topic of the Eurostat module was
    Social origin() Estonian domestic modules were
    entitled From school to work and Trade unions
    and collective agreements.

18
SILC and French EPCV and SRCV
  • SILC (SRCV) starts in 2004, but
  • Living conditions 1978-1979, 86-87 93-94
  • European Community Household Panel (1994-2001)
  • Permanent Living Conditions Survey EPCV
    (1996-2004)
  • The current French SRCV system took over from the
    former permanent survey of living conditions
    (EPCV) system in 2004 it reprises some questions
    from the EPCV to produce social indicators
    considered indispensable for the specific needs
    of the French statistical institute but not
    required within the European framework.

19
A diversity of situations
  • The Belgian datasets are much more detailed than
    the delivered files to Eurostat 
  • SILC datasets from Eurostat do not contain Swiss
    data (2007 - 2010).
  • The Great Britain component of the EU-SILC
    dataset is collected by the Office for National
    Statistics (ONS) as part of the General Lifestyle
    Survey (GLF) (held at the Archive under Special
    Licence access conditions - see GN 33403).
  • The Northern Ireland component is collected by
    the Northern Ireland Statistics and Research
    Agency (NISRA) as part of the Living Conditions
    Survey (LCS) (not currently held at the Archive).

20
A Danish example of register THE REGISTER FOR
HEALTH AND SOCIAL CONDITIONS
  • The purpose of the register is to provide
    Statistics Denmark, the Ministry of Health and
    the National Board of Health with readily
    available information from public registers on
    the state of health of the Danish population and
    relevant socio-economic background conditions.
    Another purpose is to provide data for research
    in social medicine.
  • The register was established in cooperation
    between the three authorities
  • The collection of data for the register began in
    1994, starting with data from registers with
    information available from 1977 onwards The
    National Register of Patients, the Register of
    Population Statistics and the Employment
    Classification Module.
  • This was followed in 1995 by the inclusion of
    data from the following registers
  • the Register of Causes of Death, the Register of
    Health Insurance Statistics and the Register of
    Coherent Social Statistics.
  • In 1997 a final agreement was made defining the
    contents of the register, including data from
    three more registers
  • The Integrated Database for Labour Market
    Research, the Educational Classification Module
    and the Register of Building and Dwelling
    Statistics.
  • At the time, specification was made for the
    future inclusion of data on medical births,
    voluntary abortions and deformations in birth.

21
A.2 European Central Bank microdata
  • Household Finance and Consumption Survey
  • Every 3 years
  • First deliverable in 2013
  • No pre-existing national survey in some countries
    while older waves in others
  • France
  • Every 6 years and oldest waves
  • Questionnaire 112 pages in France vs 65 pages for
    the European survey, yet some variables collected
    at European level not in the French survey
  • Adaptation of the survey was needed (break in the
    serie)
  • Moved from the NSI to the Central Bank (with
    consequence for researcher access)

22
A.3 Other European government microdata
  • The European Commission, the Directorate-General
    for Economic and Financial Affairs (DG ECFIN)
  • Business and Consumer Surveys
  • EUROFOUND
  • Surveys on working conditions

23
  • The Business and Consumer Surveys
  • The European Commission, the Directorate-General
    for Economic and Financial Affairs (DG ECFIN)
  • manages a network of national institutes to
    conduct a harmonised EU programme of 6 business
    and consumer tendency surveys
    (quarterly or monthly from 1985, 1995 for
    services).
  • Industry
  • Services
  • Consumers
  • Retail trade
  • Building
  • Investment
  • and some others

24
  • EUROFOUND and surveys on working conditions
  • The European Foundation for the Improvement of
    Living and Working Conditions
  • An autonomous EU agency
  • Set up by the Council Regulation (EEC) No.
    1365/75 of 26 May 1975
  • Contributes to the planning and design of better
    living and working conditions
  • Governing board
  • 3 representatives per country, for 28 countries
    (EU27 and Norway)
  • The ministry in charge of labour
  • The employers
  • The unions
  • 3 representatives for the European Commission
  • The DG Employment
  • The DG Health and consumer protection
  • The DG Research end innovation
  • Based in Dublin with a Brussels Liaison Office

25
  • 3 surveys combining companies and employees
    surveys
  • The European Working Conditions Survey (EWCS)
    1990, 1995, 2000, 2005, 2010
  • Working conditions and the quality of work and
    employment
  • The European Quality of Life Survey (EQLS)
    2003, 2007, 2010
  • A broad range of indicators of quality of life,
    both objective and subjective
  • The European Company Survey (ECS) 2004, 2009,
    2013
  • Workplace practices based on the views of both
    managers and employee representatives
  • The exemple of the EWCS surveys
  • Year 1990 1995 2000 2005 2010
  • Number of workers 12500 15800 21500 30000 44000
  • Number of countries EC12 EU15 EU1512 EU274 EU27
    7
  • A questionnaire development expert group
    Eurofound's Governing Board, other EU bodies (EU
    Commission, Eurostat, European Agency for Safety
    and Health at Work), international organisations
    (OECD, ILO), national statistical institutes and
    leading European experts in the field
  • Implemented by INRA Europe then Gallup Europe,
    with national fieldwork partners
  • Datasets available for download at the ESDS (UKDA)

26
A. 4 Others microdata under EU regulations or
Eurostat recommendations for harmonization
  • Household budget surveys (HBS)
  • Eurostat recommendations about methodology and
    harmonization
  • Information and Communication technologies
    surveys (TIC)
  • Regulation n808/2004 and updated regulation
    1006/2009 linked with the European roadmap for
    the TIC

27
B. National microdata harmonized at European
level
  • IECM (IPUMs international)
  • Censuses
  • MTUS
  • Time Use Survey
  • LIS (Luxembourg Income Study)
  • Household Budget Survey
  • Collected and a posteriori harmonized by
    Universities Archives (MTUS, LIS, IECM)
  • More detailed microdata often accessible at
    national level

28
B.1 IECM/IPUMS and national dissemination of
European censuses
29
  • More censuses microdata available at national
    level
  • The case of the 2001 census
  • The example of 2 European countries
  • United Kingdom
  • France (new census, yearly since 2006, the
    example of 2008)

30
  • United Kingdom
  • Samples of anonymized records (SARs)
  • The Individual Licensed SAR
  • 3  (1 800 000 people)
  • UK 9 government office regions for England, and
    Wales, Scotland and Northern Ireland
  • Available from CCSR (a charge may apply), also
    available from IPUMS
  • The Special Licence Household SAR (SL-HSAR)
  • 1  (245 000 households)
  • England and Wales
  • Available from the UK Data Archive
  • The Small Area Microdata (SAM)
  • 5  (2 900 000 people)
  • 500 Local authorities
  • Available from CCSR (a charge may apply)
  • The Controlled Access Microdata Sample(s) (CAMS)
  • Both the individual and household SARs files
  • Available in much greater detail

31
  • France Available as PUF from Insee website
  • The standard files (PUF)
  • The dwelling file
  • The individual file by regions
  • Available from IECM/IPUMS
  • The individual file by constituencies
  • The individual file by place of work
  • 3 standard (PUF) individual files for residential
    mobility
  • They differ for confidentiality reason,
  • Place of residence at the census time and
    previous residence (also abroad).
  • For departments, great communes or all communes
  • The individual file for travel to work mobility
  • From commune to commune)
  • The individual file for school mobility
  • From commune to commune

32
  • France Available for researchers via Data
    Archive
  • The SUF files
  • For the last Census available for the end of
    2012.
  • 2 to 3 files
  • An individual file with a complete set of
    variables, at the region level
  • A family file.
  • An individual file of the annual census survey,
    at the region level.
  • Available from the Réseau Quetelet
  • The Secure Access Center to Data (CASD, Centre
    dAccès Sécurisé aux Données, GENES-Réseau
    Quetelet)
  • All the microdata census files (and others )
  • Available in the most detailed form
  • Secure remote access

33
B.2 LIS is a cross-national data center, located
in Luxembourg. LIS is home to the Luxembourg
Income Study Database (LIS) and the Luxembourg
Wealth Study (LWS)Database.
Pays Enquête Année Income Unit Data Collection
Cyprus LWS 2001 Primary Economy Unit Central Bank of Cyprus and University of Cyprus
Finland LWS 1998 Household Wealth Survey Statistics Finland
Germany LWS 2001 German Socio Economic Panel German Institute for Economic Research, DIW
Italy LWS 2002 Survey of Household Income and Wealth Bank of Italy
UK LWS 2000 British Household Panel Survey cross national equivalent files Institute for Social and Economics Research
UK LIS 1999 Family Resource Survey Department for Work and Pension , ONS, National Centre for Social Research
34
Household Budget Survey
Countries Years CUF PUF SUF On-site access Remote Execution Remote Access
Czech 1999-2010          
Estonia 2000-2010 X        
France 1972-2006   X     x 
Hungary 1993-2011   X X    
Italy 1953-2011          
Latvia 1996-2011   X     X
Lithuania 2003-2008   X      
Norway 1988   X X    
Poland 1986-2010          
Slovakia 1994-2011   X      
Slovenia 2001-2012     X    
Spain 1998-2010 X   X    
Switzerland 2000-2005   X      
35
The Centre for Time Use Research collects Time
Use Surveys
France Time Use Survey INSEE
BELGIUM 1966 The Multinational Comparative Time-Budget Research Project Pierre Feldheim and Claude Javeau, Sociological Institute, Free University of Brussels
BULGARIA 1988 The 1988 Bulgarian National Time Use Survey Central Statistical Office, Institute of Sociology at the Bulgarian Academy of Sciences
FINLAND 1987-88 Time Use Survey Statistics Finland
HUNGARY 1965 The Multinational Comparative Time-Budget Research Project Sociological Research Group, Hungarian Academy of Sciences
ITALY 1979/80 Il Tempo della Citta. Una Ricerca Sull'uso del Tempo Quotidiano in una Metropoli University of Turin
UK 1961 The People's Activities BBC
UK 2005 Omnibus Survey, One Day Diary of Time Use Module The Office for National Statistics coordinated the study and collected the data. The Institute for Social and Economic Research at the University of Essex transferred the diaries into coded electronic data.
36
Time Use Survey
Countries Years CUF PUF SUF On-site access Remote Execution Remote Access
Estonia 1999-2010    X X
France  1966-1999   X   x
Italy  1988-2009   X X
Norway  1971-2010   X X
Portugal  1999      
Spain  2002-2009 X   X
37
Household Budget Surveys, Information and
Communication Technology Surveys and Time Use
Surveys
38
C. A lot of other national OS usable for
comparative research
  • Various surveys
  • Related surveys on living conditions (other than
    those related to the SILC)
  • Other examples
  • Social mobility
  • School leavers and transition from school to work
  • Administrative microdata increasingly combined
    and used by researchers
  • Examples
  • Employers and employees
  • Social security, pensions

39
Other national surveys on living conditions
conditions
Country
Denmark The register for health and social conditions 1977-2012
Denmark Family allowance and child benefits 1957-2012
Estonia Estonian Social Survey 2004-2010
Estonia Household Budget Survey 2010
France Living conditions 78-79 86-87 93-94
France Permanent Living Conditions Survey (EPCV) 1996-2004
France The Statistical survey on income and living conditions (SRCV) 2004-2009
France Survey of users of accommodation and hot meal distribution services (Homeless people) 2001
United Kingdom General Lifestyle Survey (GLF) 2000-2008
United Kingdom Living Standards During Unemployment 1983-1984
United Kingdom English Housing Survey 2008-2011
Norway Norwegian Level of Living Study 1973-2007
Norway Study on housing conditions among low-income families 1995
Norway Welfare and level of living among the very frail elderly 2000
40
Social mobility Richard Breen ed., 2004. Social
Mobility in Europe. Oxford University Press,
Oxford.
41
Country Sources of data Years for which data are included Data Producer
Germany Zumabus 1976-7, 1979(2), 1980, 1982 ZUMA-GESIS data come from collections firms that carry out most of the academic social research in Germany
Germany German socio-economic panel 1986, 1999 DIW, German Institute for Economic Research
France Formation qualification professionnelle Insee surveys 1970, 1977, 1985, 1993 INSEE
Italy National survey on social mobility 1985 Universities of Bologna, Trento, and Trieste
Italy Italian Houselhold longitudinal survey 1997 Universities of Trento, Milano, and Bologna, Istituto Trentino di Cultura, Istat
Great Britain General household survey 1973, 1975-6, 1979-84, 1987-92 ONS
Poland Slomczyski 1989 1988 Polish Academy of Sciences
Hungary Social mobility and life history survey 1973, 1983, 1992 Hungarian Central Statistical Office
Sources Richard Breen. 2004. Social Mobility in
Europe. Oxford University Press, Oxford.
42
Youth cohorts and transition from school to work
surveys
  • Numerous surveys conducted in European countries
  • Statistical Offices, France, Italy, Norway
  • Ministry of education, employment, statistical
    departments Denmark, Germany, France, Ireland,
    Scotland
  • Government agencies (Unemployment, others)
    Belgium, France
  • Universities, UK
  • Source CEDEFOP, Christine Mainguet, La transition
    du système éducatif vers la vie active (The
    transition from school to work) Exploitation des
    données statistiques nationales (Statistical
    sources).

43
Employers-Employees A guide to Linked
Employer-Employee Data Sources in the EU and
Beyond See Tanvi Desai, London School of
Economics, 2008
44
Linked Employer-Employee Data sources, examples
of national surveys
Country National surveys Data producer Access notes
Czech Republic Information System on Average Earnings (ISAE) The Czech Ministry of Labour commissions the private agency TREXIMA Direct access is only available on-site at TREXIMA The Structure of Earnings Survey for the Czech Republic is derived from the ISAE there is no access to the Czech SES data at the national level.
Spain INE does not provide access to any other linked employer-employee or firm panel data resources than SES. The Banco de España conducts an annual survey of non-financial firms, the Central Balance Sheet Data. However, the microdata for this survey are only available to researchers affiliated with the Banco de España
Germany LIAB (Linked Employer-Employee Data of the IAB) IAB (Establishment Panel ) Data access is possible via on-site use and afterwards via remote data access also. The LIAB data is a linked employer-employee dataset constructed from the IAB Establishment Panel and the Federal Employment Agencies employment statistics.
Germany LIAB (Linked Employer-Employee Data of the IAB) DESTATIS (employment statistics) Data access is possible via on-site use and afterwards via remote data access also. The LIAB data is a linked employer-employee dataset constructed from the IAB Establishment Panel and the Federal Employment Agencies employment statistics.
France REPONSE (Relations Professionnelles et Negociations dEntreprise) DARES DARES
France COI (Changement Organisationnels et lInformatisation) DARES Réseau Quételet ,(SUF) The COI is used for Frances contribution to Eurostats ICT survey
France Enquête Familles at Employeurs INED
France DADS INSEE Réseau Quételet, (SUF)
Labour cost and structure of earnings survey (Ecmoss) INSEE Réseau Quételet, (SUF) The Structure of Earning Survey for France is a part of this survey
45
The Impact of Social Security Contributions on
Earnings Evidence from administrative data in
France, Germany, Netherlands an UK. A. Bozio,
J. Grenet Research project 2011
46
Country Data sources Years Data collection Provider
France DADS 1993- Fiscal and social administration, INSEE Reseau Quételet (CMH, GENES)
Germany Sample of Integrated Labour Market Biographies (SIAB) 1975-2008 IAB IAB
Germany Lohn- und Einkommensteuerstatstik faktisch anonymisierte Daten (FAST) 1992-2004 Fiscal administration DESTATIS DESTATIS
Germany Verdienststrukturerhebung (VSE) 1990-2006 DESTATIS DESTATIS
United Kingdom New Earnings Survey (NES) 1975-2003 ONS Secure data service, UKDA
United Kingdom Annual Survey of Hours and Earnings (ASHE) 2004- ONS Secure data service, UKDA
Annual Business Inquiry ONS Secure data service, UKDA
Bozio Antoine. The Impact of Social Security
Contributions on Earnings Evidence from
administrative data in France, Germany,
Netherlands an UK. Research proposal submitted
in September 2011 to the Open Research Area (ORA)
call
47
V. National and European microdata where can I
find the information and metadata
  • Sources
  • National microdata dissemination
  • Nesstar
  • Microdata dissemination at European level

48
Sources
  • Sources of information NSI websites and
    CessdaPPP
  • 1 National Statistical Institute selected per
    country
  • These are general trends, there could be little
    variations due to lack of information available
    on the web or very recent changes

49
Metadata dissemination for national microdata
NSIs and Archives
50
Metadata dissemination at European level
  • Each European body
  • CESSDA only for some national microdata
    (depending on Archives members)
  • No single point of access even at national level
  • Some countries are opening portal for access to
    official data (open data initiatives) yet mostly
    for aggregate data
  • In some countries, archives gather metadata from
    different government producers (yet not all)

51
Looking for data Nesstar
  • Nesstar A widely used tool
  • Examples Australia, Canada, Denmark, Finland,
    France, Germany, Hungary, Ireland, Lithuania,
    Netherlands, Norway, Sweden, Slovenia,
    United-States, etc.
  • A unified way to look for data and metadata
    (documentation describing the data)
  • Allows to browse into variables (instead of
    looking into the questionnaire)

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VI. National microdata where and how can I
access the data
  • Access
  • Types of access
  • Data providers for official statistics in the
    European countries
  • Transnational access
  • Eurostat access and other European microdata
    access
  • Transnational access to national microdata

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Types of access
  • From highly anonymized to highly detailed
    microdata
  • Campus files
  • Public use files
  • Scientific Use files
  • Confidential, highly detailed, sensitive
    microdata
  • On site, remote execution, remote access
  • Terminology issues
  • Different types of accreditation procedures,
    application forms, criteria for each type and for
    each country/producer/provider
  • Transnational access not always possible due to
    differences in legal frameworks and/or
    interpretation of the laws

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Eurostat and other European bodies
  • Eurostat still burdensome
  • Yet now free of charge
  • Network contracts
  • New regulation expected for access to
    confidential microdata,
  • Yet new procedures for accreditation (2 steps)
  • Currently access on site
  • Remote access network in project (DARA ESSnet)
  • European Central Bank in progress
  • LIS remote execution
  • IPUMS and IECM free and easy, yet highly
    anonymized

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Transnational access to OS in Europe
  • Some European mapping about type of access
  • Transnational access for PUFs, SUFs, and
    confidential data available in safe centers
    and/or via remote access.
  • Sources of information NSI websites DwB
    Bucharest Eastern countries workshop
    information collected within DwB Wp3 and
    CessdaPPP)
  • 1 National Statistical Institute selected per
    country (does not include the NSAs and other
    government bodies)
  • These are general trends, there could be little
    variations due to lack of information available
    on the web or very recent changes

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Transnational access to Public Use Files
In some countries the number of PUF is (very)
limited.
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Transnational access to Scientific Use Files
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Data archives / dissemination
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Transnational access to confidential data
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Statistics on Income and Living Conditions (SILC)
Countries Years CUF PUF SUF On-site access Remote Execution Remote Access
Austria 2003-2007   X X X  
Czech 2005-2010          
Estonia 2004-2010 X X X   X
Finland 1967-2011   X X    
France 2004-2009   X     X 
Germany 2005-2008     X X  
Ireland          
Italy 2005-2010   X X    
Latvia 2005-2011   X     X
Lithuania 2005-2010 X X      
Poland 2005-2010          
Portugal 2004-2009          
Slovakia 2006-2011   X      
Slovenia     X    
Spain 2004-2011   X X    
Switzerland 2007-2009   X      
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Structure of Earning Survey, Eurostat access
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Structure of Earning Survey, National availability
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Structure of Earnings Survey (SES)
Countries Years CUF PUF SUF On-site access Remote Execution Remote Access
Finland 1995-2009     X X X  
France 1966-2006     X     X 
Germany 1990-2006 X X X X X  
Italy 2001-2009     X X    
Poland 1996-2010            
Slovenia       X    
Switzerland 1994-2008     X      
UK 1997-2011     X X    
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  • Combining datasets from different countries to
    perform micro-based cross-country statistical
    analysis is not currently possible (would require
    the different datasets to be stored in a single
    location and accessed within a common user
    interface).
  • Cross-country analysis can only be performed
    using cell aggregated values from the original
    datasets (e.g. by gender, year of birth, year of
    observation, etc.). The level of aggregation
    depends on each country's disclosure rules
  • International comparison projects have to be
    carefully planned
  • Currently, the researcher team should include
    researchers from each country covered by the
    study

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VII. Finding and accessing national microdata in
Europe DwB support
  • Support by DwB and future ESC

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DwB Future perspective and current activities
  • Future perspective
  • A European Service Centre for Official Statistics
    ESC-OS as a single point of access linked to the
    CESSDA Portal
  • That could offer a range of services metadata,
    training, support for accreditation
  • A pilot for a European Remote Access Network for
    access to confidential OS
  • A standard for a European research accreditation
  • Current activities
  • Support transnational access to highly detailed
    microdata
  • DwB regular calls)
  • CIMES Centralising and Integrating Metadata from
    European Statistics

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CIMES Centralising and Integrating Metadata from
European Statistics
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Thanks for Listening
  • Contact roxane.silberman_at_ens.fr
  • Website http//www.dwbproject.org/
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