German Administrative Data - CReAM · 2012-10-25 · UCL, Oct. 25th, 2012 Stefan Bender ... 01 Oct...
Transcript of German Administrative Data - CReAM · 2012-10-25 · UCL, Oct. 25th, 2012 Stefan Bender ... 01 Oct...
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German Administrative Data
UCL, Oct. 25th, 2012 Stefan Bender
Marion König
Stefanie Wolter
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1. The FDZ – Basic Facts
FDZ: The Research Data Centre of the German Federal EmploymentAgency, established in 2004
Main site located at the Institute for Employment Research (IAB) inNuremberg, Germany
Since 2011: Field Offices in four additional German locations (Berlin,Bremen, Dresden, Düsseldorf) and at UM’s Institute for Social Research(ISR) in Ann Arbor
Facilitates access to survey and administrative labour market data fornon-commercial empirical research
Decentralised system of offical statistics in Germany: scope of availablemicro data is spread over several data producers
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1. The FDZ – Self Conception
The FDZ actively pursues new developments on the infrastructure fordata analysis. This includes
data access
documentation
development of new and innovative data products
Conduct of own research on and with the data
Special focus on international cooperation and research
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Micro labor market data on individuals/households and establishments
2. Data
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Surveys
Data available at the FDZ
Administrative Data
SocialSecurity
Notifications
Process-generateddata of the
BA
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http://fdz.iab.de/en.aspx
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2. Micro data on individuals/households
Individual Admin Level Data:
Day-to-Day Employment and Wage Spells from 1975-present (over 80% ofthe German Labor Force)
This includes Unemployment Insurance Spells, Education, OccupationInformation, and Demographics
Detailed Information on Training Programs and Job Seeking since 2000
Detailed Social Security Benefit Information since 2005 (household)
(All) IAB Surveys can be linked
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2. Administrative Data
Social Security Notifications
Procedure
Employers notify to the social security system
For every employee and marginal worker covered by the socialsecurity system (notification requirement)
Annually. Or: Begin or end of employment, employmentinterruption, change of health insurance
Identification: social security number and establishment number
Intention of data collection
Calculation of social security contributions and (unemployment)benefits
Statistics
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Notification to the Social Security System:
Social Security Number
Establishment Number
Last Name
First Name
Address
Reason for Notification
Times of Employment (on a daily basis)
Nationality
School Education
Vocational Training
Type of Employment
Wages
Occupational Status
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2. Administrative Data
No information about civil servants, freelancers or self-employed
Internal processes of the Federal Employment Agency
Payment/Receipt of unemployment benefits
Participation in labour market programs
Registered job search
Exact start and end dates
Computer-aided processes
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2. How the data look like
begin endsourc
e reason empl occup position workplace industry firm sex birthdate nation educ residence
17 Jun 99 31 Dec 99 1 50 109 682 8 8415061 52431 1 2 15 Apr 81 0 7 9471117
01 Jan 00 28 Feb 00 1 30 109 682 8 8415061 52431 1 2 15 Apr 81 0 7 9471117
10 Apr 0 29 Jun 00 1 30 109 682 8 8415061 52431 1 2 15 Apr 81 0 7 9471117
14 Nov 0031 Dec 00 1 50 109 411 8 9461000 55301 2 2 15 Apr 81 0 3 9471117
01 Jan 01 31 Dec 01 1 50 109 411 8 9461000 55301 2 2 15 Apr 81 0 3 9471117
01 Jan 02 30 Apr 02 1 30 109 411 8 9461000 55301 2 2 15 Apr 81 0 3 9461000
01 Aug 0231 Dec 02 1 30 106 912 8 9461000 55303 3 2 15 Apr 81 0 7 9461000
10 Feb 03 31 Mar 03 1 31 109 781 8 9564000 74131 4 2 15 Apr 81 0 1 9461000
01 Jun 03 30 Jun 03 1 30 106 781 9 9564000 74131 4 2 15 Apr 81 0 1 9461000
01 Oct 05 31 Oct 05 1 30 106 912 8 9461000 55303 3 2 15 Apr 81 0 7 9461000
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3. Data available at the FDZ - SIAB
Sample of Integrated Labour Market Biographies (SIAB)
Approximately 2 % random sample drawn from the IntegratedEmployment Biographies of the IAB
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Period covered 1975 – 2008 (2009) (East-Germany since 1992)
Time reference Employment biographies on a day-to-day basis
Number of cases 1,659,024 individuals
Topics Socio-demographic characteristics (examples):
Gender, year of birth, nationality, marital status, number ofchildren, school leaving qualification, etc.
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3. Data available at the FDZ - SIAB
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Topics(continued)
Information on employment, benefit receipt, job search(examples):Begin and end of employment, benefit receipt and job search,daily wage, daily benefit rate, occupation, termination of lastjob, etc.
Information on location (examples):Place of residence, place of work (federal state, county,regional directorate, employment agency)
Information on establishments (examples):Branch of industry, total number of employees, median wageof the establishment , etc. Establishment History Panel
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3. Data available at the FDZ – PASS
Panel ‘Labour Market and Social Security’ (PASS)
Annual household survey started in 2006/2007: Labor market andpoverty situation in Germany
Situation of recipients of benefits in accordance with the German SocialCode Book II (recipients of Unemployment Benefit II (“Hartz IV”))
Two random samples from two partial populations:
Persons and households in receipt of Unemployment Benefit II
All persons and households registered as residents of Germany
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3. Data available at the FDZ – ALWA
Working and Learning in a Changing World (ALWA)
Survey which contains information about more than 10.400 life histories
Allows longitudinal analysis of
Schooling and training decisions
Labor market re-entries and labor market behavior
Processes of family formation
Regional mobility
Competence tests
Combined data: ALWA – administrative data
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Establishment-Level Data:
Daily Establishment-level employment and wage bill from 1975-present(detailed cross section and flows)
Extensive Establishment-level panel survey that can be merged
Establishment-level data can be merged to worker level data
Linked Employer Employee Data
4. Micro data on establishments
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4. Data available at the FDZ - BHP
Establishment History Panel (BHP)
Cross sectional dataset on all establishments in Germany with
at least one employee liable to social security (until 1998)
since 1999 also with at least one marginal worker
Aggregations of the individual administrative data by establishment ids
May be combined with SIAB
50% random sample or random sample stratified by 8 establishmentsizes
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4. Data available at the FDZ - BHP
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Period covered West-Germany: 1975 - 2008East-Germany: 1992 - 2008
Time reference June 30
Number of cases Between approx. 650,000 and 1.3 million establishments p.a.(in the samples)
Topics Establishment information (examples):•Total number of employees•Number of employees by main occupation•Employee age structure•Division of employees by educational and vocationalqualifications•Wage structure of full-time employees•Branch of industry•Number of inflows and outflows•Classification of establishment entry and exit•Etc.
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4. Data available at the FDZ – Establishment Panel
IAB Establishment Panel
Annual establishment survey West-Germany since 1993, East-Germany 1996
Representative on federal state level since 2001
Tries to follow establishments continuously over time
Sample, stratified according to establishment size, industry and federalstate weights
Annually repeated topics, special focus every year
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4. Data available at the FDZ – Establishment Panel
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Period covered West Germany: 1993 to 2010East Germany: 1996 to 2010
Time reference June 30
Number of cases Between 4,265 and approx. 16,000 establishments per year
Topics Annually repeated topics (examples):
•General company information•Development of employment,•Business policy and development,•Investments, in-house innovations,•Government subsidies,•Vocational training and apprenticeship places,•Recruitments and dismissals,•Wages,•Etc.
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4. Data available at the FDZ – LIAB
Linked-Employer-Employee Data (LIAB)
IAB Establishment Panel matched with individual data from theIntegrated Employment Biographies
Simultaneous analysis of the supply and demand sides of the Germanlabour market
May be combined with Establishment History Panel
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5. New Data Products: Geo-coded Data
Geo-coding of administrative data at the FDZ (total population)
Place of work and place of residence
Two cross-sections: 2008 and 2009 on June, 30th
Geo-codes are meter-perfect
Near future: go further back in time and add external geo-coded/adress
information to the admin data Give access to anonymized geo-code data (first steps with multiple
imputation)
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3. Example: Social Code II
23Georeferenzierung von Daten des IAB
# of People inSocial Code IISept., 30th 20091 km Grid
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5. New Data Products: Patent data
Patent data:
Data from the German Patent and Trade Mark Office (DPMA) linkedto administrative data of IAB
Name and address of inventors for all registered patents in 2002
More years will come
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5. Combined Patent/Admin Data
49,826 patents with a German address
39,075 patents are combined with 41,883 inventors from 7,720establishments
8.43% of the patents with a female, 7.5% with a foreign employee
Group size ranges from 1 (17,030) to 26
30,663 patents with the complete inventor group in admin data
Up to 20 patents per establishment
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5. International, Comparable Admin Data
Flow data – Lars Vilhuber (Cornell)
Migration/Commuter data of Austria/Germany – Andrea Weber(Mannheim)/ Rudolf Winter-Ebmer (Linz)
Combined social security data from Denmark, Germany, Netherlandsand Sweden (first NSI meeting wass in August)
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5. Bringing Admin Data to the 21th Century
Linkages of administrative data available at the FDZ to
Commercial business data (like Bureau van Dijke)
Internet data (like ImmoScout 24)
Patent and geo-coded Data
Increase of record linkage (German Record Linkage Center)
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6. Data Access
Off-Site Use On-Site Use
CD or Download(Scientific Use File)
Remote Execution Guest Stay
Factually anonymous Weakly anonymous (= confidential)
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IAB CD
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6. Data Access
Comparatively easy access rules: no background checks, noprior scientific evaluation of the project, etc.
Data access is free of charge
Discussion of researchers needs, flexible solutions
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6. Data Access
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Data Access
On-site Off-site via remote
Data use agreement
Confidentiality Agreement US: Pledge on Data Secrecy
Non-technical application
Approval of Federal Ministry ofSocial Affairs in Germany
US: Process for Human SubjectResearch Applications (IRB)
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6. Data Access: Near Future
At least two additional US sites (end 2012/2013) and one German site
Berkeley
Cornell (data host for SUFs, too)
Mannheim
Further European sites
Essex, Paris, The Hague (EU-project “Data without Boundaries)
More to come
Access Network
RDCs give access to data from other RDCs
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7. Other Services Provided by the FDZ
Remote Execution after on-site use
Documentation
Consultation and Assistance
Application Process/Proposal
Data issues
Preliminary Evaluations
Cooperation
Financial support – DwB money for transnational access
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http://fdz.iab.de
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The FDZ Network on Data Access (2012/03)
Nuremberg
Düsseldorf
Bremen
BerlinAnn Arbor, Mi
Dresden
Terminal Serverwith RDC Data
ManagementServerThin Client
ICA connection using a Citrix AccessGateway
Technical Implementation: Citrix thin client solution
MICDA Enclave at ISR
FDZ der Statistischen Ämter
Connection to Management Server
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7. Conclusion
Value of data work (discussion in Germany)
Should enrich CV
Persistent identifiers of data sets
Funding Challenges
Data development
Transnational activities
Research and Access
Stepping stone strategy: push the „not possible“ slightly in the direction of research
Benefit for data provider: some kind of unterstandable results, feedback
Discussion on possible harm of a single hypothetical breach vs. increase of overallknowledge due to broader access
Happy to come and to discuss your possible projects!!!
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Procedure of Social Security Notifications (simplified)
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Establishments/Employers
Receiving offices of thenotification procedure
(health insurancecompanies)
German FederalPension Fund
Federal EmploymentAgency
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3. Administrative Data
Federal Employment Agency transmits data to IAB
IAB merges social security notifications and BA data
(complete) individual employment biographies
Employment history covered by social security system (since 1975)
Unemployment benefit receipt (since 1975)
Registered job search (since 2000)
Participation in labor market programs (since 2000)
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apprenticeship pension
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IAB Establishment Panel
40
42
65
41
38
40
96
40
29
41
02
42
89
44
27 8
41
6
98
49
10
10
5
10
09
0
10
10
4
10
10
3
98
56
96
30
93
61
95
2543
13
47
48
49
05
53
35
55
15 56
88
53
03
57
67
55
85
57
18
55
93
60
14
60
95
59
98
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Number of interviewed EstablishmentsEast-GermanyWest-Germany
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IAB Establishment Panel
Special topics:
1994: Contact with the employment agency1997: Business start-ups; recruitment of skilled labour1998: Investments abroad1999: Progressive retirement and pre-retirement; share of turnover inenvironmentally protective goods; revision of the DM 630 job regulation2000: Skilled worker demand; elderly employees; financial incentives foremployees2001: Computer and Internet equipment; staff shares and profit-sharing2002: Elderly employees; health protection; equal opportunities; contact with theemployment agency2003: Operational flexibility2004: Personnel structure (senior management), working hours2005: Environmentally protective goods, personnel recruitment2006: Job security and locational security of industries2007: Future staffing for qualified employees2008: Job security and locational security of industries, equal opportunities2009: Types of employment, vocational training and apprenticeship
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Linked Employer-Employee Data (LIAB)
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LIAB cross-sectional model
IAB Establishment Panel: all establishments of the IAB EstablishmentPanel
Establishments: 4,114 to 16,280 per year, 46,182 in total
All observations on employment , benefit receipt and job search on thereference date June 30th,
Includes all individuals employed in an establishment of the IABEstablishment on that date
Individuals: 1,885,684 to 2,586,048 per year, 9,784,888 in total
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Linked Employer-Employee Data (LIAB)
Longitudinal Model 1
Observations of the IAB Establishment Panel that participated in thesurvey without gap from 1999 to 2001
Only those with good matching quality
2,100 establishments in East- and West-Germany respectively
All individuals who were employed in one of the selected establishmentsbetween 01.01.1996 and 31.12.2002 for at least one day
All observations on employment and benefit receipt from 1990 to 2006
Approximately 1,9 million individuals
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Linked Employer-Employee Data (LIAB)
Longnitudinal Model 1
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1999 20011996 20021990 2006
Establishments in the IABEstablishment Panel from
1999 to 2001Employees from 1996 to 2002
Employment histories from 1990 to 2006
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Linked Employer-Employee Data (LIAB)
Longitudinal Model 2
Observations of the IAB Establishment Panel that participated in thesurvey without gap from 2000 to 2002
Plus establishments already included in model 1
Only those with good matching quality
4,360 establishments in East- and 5,293 in West-Germany
All individuals who were employed in one of the selected establishmentsbetween 01.01.1997 and 31.12.2003 for at least one day
All observations on employment and benefit receipt from 1993 to 2006
Approximately 3,6 million individuals
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Linked Employer-Employee Data (LIAB)
Longnitudinal Model 2
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2000 20021997 20031993 2006
Establishments in the IABEstablishment Panel from
2000 to 2002
Employees from 1997 to 2003
Employment histories from 1993 to 2006
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Linked Employer-Employee Data (LIAB)
Longitudinal Model 3
Observations of the IAB Establishment Panel that participated in thesurvey without gap from 1996 to 2005
Only those with good matching quality
approximately 2,300 establishments
All individuals who were employed in one of the selected establishmentsbetween 01.01.1993 and 31.12.2006 for at least one day
All observations on employment and benefit receipt from 1993 to 2006
Approximately 1,8 million individuals
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Linked Employer-Employee Data (LIAB)
Longnitudinal Model 3
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19961993 2006
Establishments in the IAB EstablishmentPanel from 1996 to 2005
Employees from 1993 to 2006
Employment histories from 1993 to 2006
2005
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Panel Study „Labour Market and Social Security“
Wave 1:Recipients of Unemployment Benefit II in 7/2006:
Sample I: 9,386 individuals (living in 6,804 households)
Residents in Germany :
Sample II: 9,568 individuals (living in 5,990 households)
Wave 2:Sample I: 4,753 individuals (living in 3,491 households)Sample II: 6,392 individuals (living in 3,897 households)
Recipients and Residents in 7/2007 but without receipt in 7/2006 :Sample III: 1,342 individuals (living in 1,041 households)
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Panel Study „Labour Market and Social Security“
Wave 3:
Sample I: 4,913 individuals (living in 3,754 households)Sample II: 6,207 individuals (living in 3,901 households)Sample III: 898 individuals (living in 694 households)
Residents and recipients in 07/2008 but without receipt in 07/2006 and07/2007:
Sample IV: 1,421 individuals (living in 1,186 households)
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The Unemployment Insurance System in Germany
Until 1984:
Unemployment benefits (UB, „Arbeitslosengeld“):
Potential duration of UB: up to 12 months
Duration depends on the number of months worked in the base periodprior to unemployment (least 12 months in the previous 3 years)
68% of the last net wage, not means tested
After UB, unemployment assistance (UA, Arbeitslosenhilfe)
Unlimited duration
58% of the last net wage, other sources of income are substracted
Means tested, reviewed once a year
In case supplemented with social assistance (social welfare,“Sozialhilfe”)
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The Unemployment Insurance System in Germany
1984 to 1987
1984: replacement rates were lowered for individuals without children(UB: 68 – 63%, UA: 58 – 53%)
Expansion of UB durations for workers with higher experience levels age dependency
1988 to 1997
Fairly stable, only slight decrease in the replacement rate in 1994
1997 to 2004
potential UB durations were lowered for older individuals
Age requirements for higher UB durations increased by 3 years
Stricter sanction rules were introduced
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The Unemployment Insurance System in Germany
since 2005
Unemployment benefits (UB, “Arbeitslosengeld”) for the first 6 to 12months.
Duration depends on age and the number of months worked in a baseperiod prior to unemployment .
67 % of income prior to unemployment (60 % without children).
After UB has expired: Arbeitslosengeld II (UB II, “Hartz IV”).
Lump-sum, not earnings-based and means-tested.
Less generous than former social assistance (welfare).
Unlimited duration.
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