BIBB has a strong tradition of survey-based research. It initiates and realises the collection of individual and firm-level data on crucial positions and transitions in the education and labour market system. The BIBB-FDZ covers a variety of data deploying different units of analysis and temporal designs and focusing on various thematic issues.
The following dataset have just some or no English documentation. If you are interested in analyzing any of BIBBs’ micro data, please do not hesitate to send your questions/requests directly to email@example.com.
BIBB School Graduate Surveys 2004, 2005, 2006, 2008, 2010 and 2012
The BIBB School Graduate Surveys are representative cross-sectional surveys of German school leavers' occupational prospects, preferences and choices.
BIBB Transition Survey 2006 and 2011
The BIBB Transition Surveys are representative German youth cross-section on educational and occupational attainment processes.
BIBB-Cost-Benefit-Survey 2000, 2007 and 2012
The BIBB-Cost-Benefit-Surveys are representative firm level cross-sections on costs and benefits of apprenticeship training in German firms.
BIBB company panel on qualification and competence development 2011–2016
The BIBB qualification panel is a representative annual survey among 3,500 firms issuing – beside others – the dynamics apprenticeship training, firm level competence development and further Training activities. A detailed description of the panel data give
Gerhards, Christian; Mohr, Sabine; Troltsch, Klaus (2012): The BIBB Training Panel. An Establishment Panel on Training and Competence Development. Schmollers Jahrbuch, 132(4), 635-652.
English website: https://www.bibb.de/en/1482.php
BIBB/BAuA Youth Employment Survey 2012
The BIBB/BAuA Youth Employment Survey 2012 is a representative Survey of young persons (between 15 and 24) on qualification and working conditions in Germany 2012. The questionnaire is almost identical to the BIBB/BAuA-Employment Survey 2012. Stata do-files are available for translating the value and variable labels of this data set in English language:
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