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Who should pay the bill for employee upskilling?

Author

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  • Radu Vranceanu

    (ESSEC Business School, THEMA - Théorie économique, modélisation et applications - CNRS - Centre National de la Recherche Scientifique - CY - CY Cergy Paris Université)

  • Angela Sutan

    (UBFC - Université Bourgogne Franche-Comté [COMUE])

Abstract

Upskilling is an investment in human capital that allows a worker to successfully undertake a new task or new project within his/her existing job. It involves costly effort on behalf of the employee to acquire new skills and new knowledge. A firm-financed training scheme allows to screen the applicants to the programme, but comes with the cost of hidden actions, as some employees train on their own yet keep on working on low-value projects. A laissez - faire policy relying on worker self-training and incentive compatible contracts allows to attract more workers to high-value projects, yet it must grant to flexible workers a positive informational rent. The profit comparison reveals a paradoxical situation where it might be in the interest of a company to rely on worker self-training rather than to provide a training programme.

Suggested Citation

  • Radu Vranceanu & Angela Sutan, 2021. "Who should pay the bill for employee upskilling?," Working Papers hal-02977891, HAL.
  • Handle: RePEc:hal:wpaper:hal-02977891
    Note: View the original document on HAL open archive server: https://essec.hal.science/hal-02977891v3
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    References listed on IDEAS

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    1. Jeremy Lise & Fabien Postel-Vinay, 2020. "Multidimensional Skills, Sorting, and Human Capital Accumulation," American Economic Review, American Economic Association, vol. 110(8), pages 2328-2376, August.
    2. Patrick Bolton & Mathias Dewatripont, 2005. "Contract Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262025760, April.
    3. Alicia Sasser Modestino & Daniel Shoag & Joshua Ballance, 2020. "Upskilling: Do Employers Demand Greater Skill When Workers Are Plentiful?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 793-805, October.
    4. Daniel Dietz & Thomas Zwick, 2016. "The retention effect of training – portability, visibility, and credibility," Economics of Education Working Paper Series 0113, University of Zurich, Department of Business Administration (IBW).
    5. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    6. Robert J. Gordon, 2000. "Does the "New Economy" Measure Up to the Great Inventions of the Past?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 49-74, Fall.
    7. Colleen Flaherty Manchester, 2010. "Investment in General Human Capital and Turnover Intention," American Economic Review, American Economic Association, vol. 100(2), pages 209-213, May.
    8. Erik Brynjolfsson & John J. Horton & Adam Ozimek & Daniel Rock & Garima Sharma & Hong-Yi TuYe, 2020. "COVID-19 and Remote Work: An Early Look at US Data," NBER Working Papers 27344, National Bureau of Economic Research, Inc.
    9. Robert J. Gordon, 2012. "Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds," NBER Working Papers 18315, National Bureau of Economic Research, Inc.
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    Keywords

    Contract theory; Upskilling; Screening; Training policy;
    All these keywords.

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