IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp5257.html
   My bibliography  Save this paper

Determinants of Employer-Provided Further Training: A Multi-Level Approach

Author

Listed:
  • Bellmann, Lutz

    (Institute for Employment Research (IAB), Nuremberg)

  • Hohendanner, Christian

    (Institute for Employment Research (IAB), Nuremberg)

  • Hujer, Reinhard

    (Goethe University Frankfurt)

Abstract

We analyse the influence of regional determinants on the decision of employers to provide within-firm further training. We estimate the effects of the regional population density, the unemployment rate and the regional concentration of an industry against the background of several determinants of further training at the establishment level. To account for the clustered and longitudinal structure of our data – with annual observations of firms and firms nested within regions – we apply multi-level random effects logit models. Our empirical analysis is based on the IAB-Establishment Panel 2001 to 2007.

Suggested Citation

  • Bellmann, Lutz & Hohendanner, Christian & Hujer, Reinhard, 2010. "Determinants of Employer-Provided Further Training: A Multi-Level Approach," IZA Discussion Papers 5257, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp5257
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp5257.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pfeifer, Christian, 2013. "Intra-firm Wage Compression and Cost Coverage of Training: Evidence from Linked Employer-Employee Data," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80030, Verein für Socialpolitik / German Economic Association.
    2. Daniela Sonedda, 2020. "Same rules but different outcomes: regional disparities in permanent employment rates of a nation-wide reform of vocational apprenticeships," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 583-620, July.
    3. Philip Wotschack, 2020. "When Do Companies Train Low‐Skilled Workers? The Role of Institutional Arrangements at the Company and Sectoral Level," British Journal of Industrial Relations, London School of Economics, vol. 58(3), pages 587-616, September.
    4. Wotschack, Philip & Solga, Heike, 2013. "Voraussetzungen einer guten betrieblichen Weiterbildungspraxis: Ergebnisse aus zehn Fallstudien in 'Best-Practice'-Betrieben," Discussion Papers, Research Unit: Skill Formation and Labor Markets SP I 2013-503, WZB Berlin Social Science Center.
    5. D. Sonedda, 2019. "Regional disparities in the functioning of the labour markets," Working Paper CRENoS 201915, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    6. Horbach, Jens, 2013. "Do eco-innovations need specific regional characteristics? An econometric analysis for Germany," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79927, Verein für Socialpolitik / German Economic Association.

    More about this item

    Keywords

    regional labour markets; further training; human capital; multi-level panel analysis;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp5257. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.