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Wie kann die durchschnittliche Ausbildungsquote in Deutschland korrekt gemessen werden?

Author

Listed:
  • Peter Jacobebbinghaus

    (Institut fuer Arbeitsmarkt und Berufsforschung, Nuernberg)

  • Jens Mohrenweiser

    (Department of Business Administration, University of Zurich)

  • Thomas Zwick

    (Zentrum fuer Europaeische Wirtschaftsforschung (ZEW) (Centre for European Economic Research))

Abstract

This paper demonstrates that the share of apprentices exhibits a relatively strong seasonal pattern. This means that statistics on the share of apprentices such as those presented in official publications differ substantially from the actual yearly mean if they are measured on a date close to the minimum (end of July) or the maximum (around the turn of the year). In addition the deviation from the yearly mean differs between occupations at certain measurement dates because occupations have different apprenticeship durations. This paper proposes to calculate the yearly average on the basis of daily shares instead of certain measurement dates. It also argues to use daily accurate employment data from the German social security system.

Suggested Citation

  • Peter Jacobebbinghaus & Jens Mohrenweiser & Thomas Zwick, 2008. "Wie kann die durchschnittliche Ausbildungsquote in Deutschland korrekt gemessen werden?," Economics of Education Working Paper Series 0034, University of Zurich, Department of Business Administration (IBW).
    • Handle: RePEc:iso:educat:0034
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    File URL: http://repec.business.uzh.ch/RePEc/iso/leadinghouse/0034_lhwpaper.pdf
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    Cited by:

    1. Brunello, Giorgio, 2009. "The Effect of Economic Downturns on Apprenticeships and Initial Workplace Training: A Review of the Evidence," IZA Discussion Papers 4326, IZA Network @ LISER.
    2. Mohrenweiser, Jens & Zwick, Thomas, 2009. "Why do firms train apprentices? The net cost puzzle reconsidered," Labour Economics, Elsevier, vol. 16(6), pages 631-637, December.
    3. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 1-3, March.

    More about this item

    Keywords

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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