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The Harmonised BIBB/BAuA Employment Survey 2006, 2012 and 2018 (H-ETB)

Author

Listed:
  • van Berk Beatrice

    (Department 1.5, Research Data Center, 120320 Federal Institute for Vocational Education and Training (Bundesinstitut für Berufsbildung, BIBB) , Friedrich-Ebert-Allee 114 – 116, 53113 Bonn, Germany)

  • Friedrich Anett

    (Department 1.5, Research Data Center, 120320 Federal Institute for Vocational Education and Training (Bundesinstitut für Berufsbildung, BIBB) , Friedrich-Ebert-Allee 114 – 116, 53113 Bonn, Germany)

Abstract

The BIBB/BAuA Employment Surveys 2006, 2012 and 2018 are large cross-sections of the working population on qualification and working conditions in Germany and many publications are based on them. The data covers a wide range of topics, including information on occupations, education, job tasks, working conditions, job satisfaction and health status. A new harmonised dataset now compiles these three surveys into one file. The harmonised BIBB/BAuA Employment Survey (H-ETB) simplifies the use of the surveys for analyses over time and analyses of the pooled data. The dataset includes 60,048 cases and all variables that were surveyed in each wave in a harmonised form. The paper outlines the subject and methodology of the BIBB/BAuA Employment Survey as well as the harmonisation.

Suggested Citation

  • van Berk Beatrice & Friedrich Anett, 2025. "The Harmonised BIBB/BAuA Employment Survey 2006, 2012 and 2018 (H-ETB)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 245(3), pages 351-361.
    • Handle: RePEc:jns:jbstat:v:245:y:2025:i:3:p:351-361:n:1004
    DOI: 10.1515/jbnst-2024-0048
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    References listed on IDEAS

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    1. Storm, Eduard, 2023. "On the measurement of tasks: does expert data get it right?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-6.
    2. Eduard Storm, 2023. "On the measurement of tasks: does expert data get it right?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-24, December.
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    More about this item

    Keywords

    occupation; employment; German labour market; working conditions; health;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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