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WeLL – Unique Linked Employer-Employee Data on Further Training in Germany

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Listed:
  • Stefan Bender
  • Michael Fertig
  • Katja Görlitz
  • Martina Huber
  • Alexandra Schmucker

Abstract

This paper explains the main features of an innovative linked employer-employee data set with a particular focus on continuous training in Germany, called WeLL. The data set comprises establishment data that can be linked to longitudinal information on the associated employees. The employer survey and the first wave of the employee survey were conducted in 2007. Both surveys focus on the collection of training information together with a variety of employee and employer background characteristics. In addition, it is possible to link these data with other survey and administrative data for a large number of respondents.
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Suggested Citation

  • Stefan Bender & Michael Fertig & Katja Görlitz & Martina Huber & Alexandra Schmucker, 2009. "WeLL – Unique Linked Employer-Employee Data on Further Training in Germany," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 129(4), pages 637-643.
  • Handle: RePEc:aeq:aeqsjb:v129_y2009_i1_q1_p637-643
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    File URL: http://dx.doi.org/10.3790/schm.129.4.637
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    Cited by:

    1. repec:zbw:rwimat:061 is not listed on IDEAS
    2. Görlitz, Katja & Tamm, Marcus, 2011. "Revisiting the Complementarity between Education and Training – The Role of Personality, Working Tasks and Firm Effects," Ruhr Economic Papers 307, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Fertig, Michael & Görlitz, Katja, 2013. "Missing wages: How to test for biased estimates in wage functions?," Economics Letters, Elsevier, vol. 118(2), pages 269-271.
    4. Bender, Stefan & Fertig, Michael & Görlitz, Katja & Huber, Martina & Hummelsheim, Stefan & Knerr, Petra & Schmucker, Alexandra & Schröder, Helmut, 2010. "WeLL - Berufliche Weiterbildung als Bestandteil Lebenslangen Lernens : bisherige Arbeiten und Perspektiven," FDZ Methodenreport 201007_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Stefan Bender & Michael Fertig & Katja Görlitz & Martina Huber & Stefan Hummelsheim & Petra Knerr & Alexandra Schmucker & Helmut Schröder, 2010. "WeLL – Berufliche Weiterbildung als Bestandteil Lebenslangen Lernens – Bisherige Arbeiten und Perspektiven," RWI Materialien, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, pages 20, 08.
    6. Michael Fertig & Katja Görlitz, 2012. "Item Nonresponse in Wages: Testing for Biased Estimates in Wage Equations," Ruhr Economic Papers 0333, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    7. Görlitz, Katja, 2011. "Continuous training and wages: An empirical analysis using a comparison-group approach," Economics of Education Review, Elsevier, vol. 30(4), pages 691-701, August.
    8. Zwick, Thomas, 2011. "Why training older employees is less effective," ZEW Discussion Papers 11-046, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    9. repec:zbw:rwirep:0333 is not listed on IDEAS
    10. Huber, Martina & Schmucker, Alexandra, 2012. "Panel "WeLL" : Arbeitnehmerbefragung für das Projekt "Berufliche Weiterbildung als Bestandteil Lebenslangen Lernens". Dokumentation für die Originaldaten Wellen 1-4," FDZ Datenreport. Documentation on Labour Market Data 201203_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Fertig, Michael & Görlitz, Katja, 2012. "Item Nonresponse in Wages: Testing for Biased Estimates in Wage Equations," Ruhr Economic Papers 333, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Katja Görlitz, 2010. "Continuous Training and Wages – An Empirical Analysis Using a Comparison-group Approach," Ruhr Economic Papers 0197, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    13. repec:zbw:rwirep:0197 is not listed on IDEAS

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