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Wie kann die durchschnittliche Ausbildungsquote in Deutschland korrekt gemessen werden?

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  • Jacobebbinghaus, Peter
  • Mohrenweiser, Jens
  • Zwick, Thomas

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

  • Jacobebbinghaus, Peter & Mohrenweiser, Jens & Zwick, Thomas, 2008. "Wie kann die durchschnittliche Ausbildungsquote in Deutschland korrekt gemessen werden?," ZEW Discussion Papers 08-055, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  • Handle: RePEc:zbw:zewdip:7378
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    References listed on IDEAS

    as
    1. Michael Beckmann, 2002. "Firm‐sponsored Apprenticeship Training in Germany: Empirical Evidence from Establishment Data," LABOUR, CEIS, vol. 16(2), pages 287-310, June.
    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. Fischer, Gabriele & Janik, Florian & Müller, Dana & Schmucker, Alexandra, 2008. "Das IAB-Betriebspanel - von der Stichprobe über die Erhebung bis zur Hochrechnung," FDZ Methodenreport 200801_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Christian Dustmann & Uta Schönberg, 2009. "Training and Union Wages," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 363-376, May.
    5. Spengler, Anja, 2007. "Das Betriebs-Historik-Panel 1975-2005 : Handbuch-Version 2.0.0," FDZ Datenreport. Documentation on Labour Market Data 200704_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    Cited by:

    1. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 249-251, January.
    2. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 249-251, January.
    3. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 249-251, January.
    4. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 249-251, January.
    5. 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.
    6. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 249-251, January.
    7. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(2), pages 77-79, August.

    More about this item

    Keywords

    Apprenticeship training; measurement;

    JEL classification:

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

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