Article Gold Open Access 2018

Another piece of the puzzle: Firms’ investment in training as production of optimal skills inventory

Empirical Research in Vocational Education and Training
Journal · Vol. 10 · Issue 1 · Art. 6
Abstract

Background: By applying the inventory theory to hiring skilled workers under uncertainty, the authors explain how firms decide on their optimum investment in an “inventory of skills.” This paper investigates the conditions under which firms are willing to make investments in a skilled workforce themselves rather than relying on skills produced within the education system or by other companies. By applying inventory theory to investments into apprenticeship training, the authors explain how firms decide on producing an optimum “inventory of skills” today to meet future demand. The authors derive hypotheses on how much firms are willing to invest in having a larger inventory of skilled workers depending on different types of inventory costs (overage costs, underage costs, demand structure). Methods: The authors use data from the BIBB Cost–Benefit-Survey 2012/2013, which comprises detailed information on different costs and benefits of training investments from the firm’s perspective. The study applies a negative binomial estimation model. Results: Results are threefold: firms are willing to invest in a larger inventory of skilled workers, i.e., to train more apprentices, first, if the costs of producing and retaining an excessive number of skilled workers (overage costs) are lower, second, if the costs of being short of skilled workers (underage costs) are higher, and third, given an identical cost structure, if it is more likely that the demand for skilled workers may be high in the future. Even more important is the relationship of the three: the combination of a firm’s critical ratio (underage costs in relation to overage costs) with its demand structure (industry volatility) is associated with a higher inventory of skills. Conclusion: The findings (particularly the relation of underage and overage costs, in combination with the demand structure) have important policy implications for firms’ incentives to invest in apprenticeship training. © 2018, The Author(s).

Keywords

Author Keywords

vocational education and training (VET) Demand structure Inventory decision Overage and underage costs

Index Keywords

Author Affiliations
Universität Zürich, Zurich, ZH, Switzerland
Federal Institute for Vocational Education and Training, Bonn, Germany
Funding & Acknowledgements
Scientific Education and Research Institute, SERI
Grant: 1315000868
Funding text 1: HP and UBG carried out the analysis and wrote the article. All authors read and approved the final manuscript. We thank Franziska Burkart for valuable research assistance. We thank Bernd Fitzenberger, Edward Lazear, Eric Bettinger, Felix Wenzelmann, Jens Mohrenweiser, Samuel Muehlemann, Simon Janssen, and seminar participants at the University of Zurich for their helpful comments and suggestions. We also thank Natalie Reid for language consultation. The authors declare that they have no competing interests. An earlier version of this paper was published as a Working Paper in ‘Economics of Education Working Paper Series’ by the Department of Business Administration (IBW) at the University of Zurich. The micro data used for the analysis is accessible for researchers at the Research Data Center of BIBB. The macro data is publicly available at the German Federal Statistical Office (DESTATIS) and the Federal Employment Agency. Not applicable. This study is partly funded by the Swiss State Secretariat for Education, Research, and Innovation (SERI) through its Leading House on the Economics of Education, Firm Behavior and Training Policies. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.; Funding text 2: This study is partly funded by the Swiss State Secretariat for Education, Research, and Innovation (SERI) through its Lead‑ ing House on the Economics of Education, Firm Behavior and Training Policies.
Singapore Eye Research Institute, SERI
Funding text 1: HP and UBG carried out the analysis and wrote the article. All authors read and approved the final manuscript. We thank Franziska Burkart for valuable research assistance. We thank Bernd Fitzenberger, Edward Lazear, Eric Bettinger, Felix Wenzelmann, Jens Mohrenweiser, Samuel Muehlemann, Simon Janssen, and seminar participants at the University of Zurich for their helpful comments and suggestions. We also thank Natalie Reid for language consultation. The authors declare that they have no competing interests. An earlier version of this paper was published as a Working Paper in ‘Economics of Education Working Paper Series’ by the Department of Business Administration (IBW) at the University of Zurich. The micro data used for the analysis is accessible for researchers at the Research Data Center of BIBB. The macro data is publicly available at the German Federal Statistical Office (DESTATIS) and the Federal Employment Agency. Not applicable. This study is partly funded by the Swiss State Secretariat for Education, Research, and Innovation (SERI) through its Leading House on the Economics of Education, Firm Behavior and Training Policies. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.; Funding text 2: This study is partly funded by the Swiss State Secretariat for Education, Research, and Innovation (SERI) through its Lead‑ ing House on the Economics of Education, Firm Behavior and Training Policies.
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