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ALWA-ADIAB: Outline

Content characteristics

Methodological characteristics

Data access

The detailed dataset description is available under 'working tools'.

Content characteristics

Categories Description

Topics

Survey data:
Sociodemographic characteristics, history of habitation, school education, vocational preparation, professional training, military service, employment, unemployment, histories of the partners living in household, children and time of parental leave, life-satisfaction, cultural capital, native language, mastery of foreign languages, religion, household, social background of the parents
Administrative individual data:
Individual characteristics: Gender, year of birth, nationality (detailed list/grouped), marital status, number of children, school leaving qualification, school education and vocational education, skills level, severe disability status, health impediments.
Information on Employment: Benefits Receipt and Job Search: Begin and end of employment, benefit receipt and job search, daily wage/daily benefit rate, transition zone, occupation, occupational status, employment status, employment status prior to job search, type of benefit, BA client group, type of termination of last job, willingness to seek employment throughout Germany, desired working hours of the job sought, duration of remaining entitlement to unemployment benefit, type of agency
Information on establishments: Branch of industry, year of first and last appearance in the data of the establishment, total number of employees, number of full-time employees, number of part-time employees, median wage
Information on location: Place of residence (federal state, district, regional directorate, employment agency), Place of work (federal state, district, regional directorate, employment agency)
Administrative establishment data:
Establishment characteristics, total number of employees, number of full-time employees, number of employees by main occupation, number of unpaid employees, number of female employees, employee age structure, division of employees by educational and vocational qualifications, division of employees by occupational status, division of employees by person group, wage structure of full-time employees
Extension file – worker flows:
Total number of inflows and outflows, number of female inflows and outflows, number of inflows and outflows from movers, number of inflows and outflows by age, number of inflows and outflows by occupational status, number of outflows by seniority

Data unit

Survey data:
People of the resident population of the Federal Republic of Germany
Administrative individual data:
Employees covered by social security (including marginal employment since 1999), benefit recipients, job-seekers, (participants in active labour market programmes)
Number of cases Survey data:
10,404 interviews, thereof
10,177 german-speaking interviews
227 foreign-language interviews
Administrative individual data:
8166 individuals, 261,857 observations
Period covered August 2007 to April 2008
Time reference Survey data:
Date of interview, spell data retrospective as from birth Administrative individual data:
employment biographies detailed to the day
Administrative establishment data:
30 June

Regional structure

Survey data:
German federal state (Bundesland)
Administrative data:
Place of work: federal states, districts, regional directorates of the Federal Employment Agency, employment agencies
Place of residence: federal states, districts, regional directorates of the Federal Employment Agency, employment agencies (not available for all data sources and time periods)

Methodological characteristics

Categories Description

Method of data collection

Survey data:
The random sample was drawn in two steps. First 281 sample points (250 communities) were taken from data provided by the Federal Statistical Office. Local residents' registration offices were asked to provide a systematic random sample (interval sampling) of addresses of people belonging to the birth cohorts of 1956-1988. Second, for the field work, 152 addresses per sample point were selected by simple random sampling, making a total of 42,712 addresses. For 22,656 addresses a valid telephone phone number could be determined.
Administrative data:
Identification of respondents in the Integrated Employment Biographies (IEB) of the IAB
Institutions involved Survey data:
Commissioned by: Institute for Employment Research (IAB), Nuremberg
Carried out by: infas - Institute for Applied Social Sciences, Bonn
Administrative data:
Social security agencies, Federal Employment Agency
Frequency of data collection Survey data:
Completed
Administrative data:
Permanent
File architecture Survey data:
cross section: ALWA1_QS
history of habitation: ALWA2_WG
education - schooling: ALWA3_AS
vocational preparation schemes: ALWA4_BV
education - vocational training: ALWA5_AB
military service: ALWA6_WD
employment: ALWA7_ET
unemployment: ALWA8_AL
partnerships: ALWA9_FP
children: ALWA10_KI
parental leave: ALWA10_EZ
gap episode: ALWA11_LUE
Administrative individual data:
Stored in one file only: alwa_a_7509_v1
Administrative establishment data:
Files with establishment-related characteristics drawn from BHP in long-format; can be merged with individual data by betnr and jahr.
File format STATA

Data access

Categories Description
Data access On-site use and subsequent remote data access
Degree of anonymisation weakly anonymous
Sensitive variables

Survey data:
None
Administrative individual data:
nationality (detailed list)
severe disability status
health impediments
5-digit branches of industry wz93, wz03, wz08 place of work: district (Kreis), employment agency (Arbeitsagentur)
place of residence: district (Kreis), employment agency (Arbeitsagentur)
Administrative establishment data:
district (Kreis), 5-digit classification of industries wz93; 5-digit classification of industries wz03; 5-digit classification of industries wz08

Selected establishment characteristics from the BHP as well as BHP extension files can be merged to the individual characteristics in the request form for on-site use. Please specify the sensitive variables, blocks of variables and extension files according to this list of BHP variables.

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