BIBB/BAuA-Employment Survey 2018
Hall, Anja (Bundesinstitut für Berufsbildung Bonn (BIBB), Bonn); Hünefeld, Lena (Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA)); Rohrbach-Schmidt, Daniela (Bundesinstitut für Berufsbildung Bonn (BIBB), Bonn)
The BIBB/BAuA Employment Survey 2018, conducted in cooperation with the Federal Institute for Occupational Safety and Health (BAuA), on the topics of "Work and Occupation in Transition" and "Acquisition and Utilisation of Vocational Qualifications" is a representative survey o...
published 2020-02-12, Version 1.0.0
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Employed persons aged 15 and over with a paid job of at least ten hours per week in Germany
Probability: Multistage; Sampling Procedure Comment: Combined landline and mobile phone sample (dual-frame approach in the ratio landline 70% : mobile 30%)
ZA-Classification (GESIS Data Catalogue)
AbstractThe BIBB/BAuA Employment Survey 2018, conducted in cooperation with the Federal Institute for Occupational Safety and Health (BAuA), on the topics of "Work and Occupation in Transition" and "Acquisition and Utilisation of Vocational Qualifications" is a representative survey of core workers in Germany. Core workers are people who are at least 15 years old and have a paid job of at least ten hours per week. The focus of the survey is on employment and the workplace at the time of the survey, such as activities performed and skills required, information on the job holders, for example their job satisfaction or their workloads, as well as longitudinal variables on the respondents´ educational and professional history. Data collection was conducted by Kantar Public between October 2017 and April 2018. Seven employment surveys have now been completed, covering a period from 1979 (via surveys in 1986, 1992, 1999, 2006, 2012) to 2018.
Table of ContentsThe data set includes information on the following topics: 1. Current occupation2. Working hours and place of work3. Activities performed (19 indicators), key qualifications (6 indicators)4. Occupational requirements (level of demands, over-demand, under-demand, professional skills (9 indicators), work requirements (13 indicators))5. Employment relationship (company characteristics)6. Physical working conditions and stresses (12 indicators)7. Psychological working conditions and stresses (11 indicators)8. Career and life goals (in ETB 2018: career orientation)9. Changes in the work environment in the last two years10. Highest general school leaving certificate11. Vocational training (in up to 5 loops)12. Connection between (last) education and current job13. Further training in the last 2 years14. First job held, career history (periods of interruption, unemployment, career advancement)15. Job satisfaction (11 indicators)16. Health complaints related to current work (24 indicators) Demography: sex; age (month and year of birth); highest general school-leaving qualification; German school-leaving qualification equivalent to foreign school-leaving qualification; marital status; living with a partner; partner´s occupation; children; number of children; children under 18 in the household; number of children under 18 in the household; age of the youngest child and the oldest child in the household if there are several children; trade-offs in reconciling family and work due to the children; trade-offs mainly in the occupational or private sphere; extent of trade-offs made; language(s) learned as mother tongue in childhood; nationality (migration background); living with father until age 15; occupation and occupational position of father and mother as respondents. Language(s) learned as mother tongue in childhood; nationality (migration background); living with father until age 15; occupation and occupational position of father and mother when respondent was 15 years old (social origin); number of employees for whom father or mother had a supervisory function; household size; number of employed persons aged 15 and over in the household; willingness to be interviewed again. In addition to the directly collected variables, a number of variables were additionally generated. These include automatically generated variables and weighting variables (Unique identification number (internally generated); year and month of interview (internally generated); mobile phone interview; occupational status; actual hours worked; secondary job; age of target person; state of residence (generated on the basis of telephone number, in mobile phone: by postcode, for this and other regional information); municipality code residence (generated on the basis of the telephone number, in mobile telephony: by postcode); district code residence (generated on the basis of the telephone number, in mobile telephony: by postcode); BIK municipality type 10 system; municipality code political; federal state establishment (postcode or place/ municipality code)), coding of open occupational and sectoral information in occupational and/or (The current occupation, the first occupation, the training occupations and the parents´ occupations were each coded with occupation codes for the two current classification systems and, in order to be able to conduct trend analyses with older employment surveys, also for the two old classification systems: Classification of Occupations 2010 (KldB 2010), Classification of Occupations 1992 (KldB 1992), International Standard Classification of Occupations 2008 (ISCO 08), International Standard Classification of Occupations 1988 (ISCO 88)), processed variables based on plausibility checks (adjusted variables on educational attainment, training loops and economic sector) and processed variables on income and regional information. In addition, a number of social science classifications were created using standardised syntax routines.
Rohrbach-Schmidt, Daniela; Hall, Anja: BIBB/BAuA-Erwerbstätigenbefragung 2018. Bonn: BIBB-FDZ Daten- und Methodenbericht 1/2020
Kantar Public: BIBB/BAuA-Erwerbstätigenbefragung 2018 - Methodenbericht. Forschungsprobjekt im Auftrag des Bundesinstituts für Berufsbildung (BIBB) und der Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA) München: Kantar Public 2018
Update Metadata: 2023-02-01 | Issue Number: 22 | Registration Date: 2020-02-12