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Costs and Benefits of an Individual Learning Account (ILA): A Simulation Analysis for the Netherlands

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  • Bussink, Henri

    (SEO Amsterdam)

  • ter Weel, Bas

    (SEO Amsterdam)

Abstract

This study analyses costs and benefits of a public-private funded individual learning account (ILA) for the labour force in the Netherlands. We consider an ILA that is funded by subsidies targeted at low- and medium-educated workers and co-funded by training levies as a share of the wage bill. We simulate two alternative steady-state scenarios about the uptake of resources and increase in training activity, using a lifecycle model of human capital investments. We derive predictions for gross earnings, income inequality and costs (training subsidies and tax deductions) and benefits (tax revenues and fewer unemployment benefits). Our results show how the balance of costs and benefits depends on the interplay between take-up rates, returns to training and the deadweight loss of subsidizing an ILA for the whole labour force. Our model and results contribute to policy tradeoffs about the introduction of ILA’s to stimulate the resilience of the labour force.

Suggested Citation

  • Bussink, Henri & ter Weel, Bas, 2022. "Costs and Benefits of an Individual Learning Account (ILA): A Simulation Analysis for the Netherlands," IZA Discussion Papers 15649, IZA Network @ LISER.
  • Handle: RePEc:iza:izadps:dp15649
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    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Palacios, Miguel, 2003. "Options for financing lifelong learning," Policy Research Working Paper Series 2994, The World Bank.
    3. Wiji Arulampalam & Alison L. Booth, 1998. "Training and Labour Market Flexibility: Is There a Trade-off?," British Journal of Industrial Relations, London School of Economics, vol. 36(4), pages 521-536, December.
    4. David Card & Jochen Kluve & Andrea Weber, 2010. "Active Labour Market Policy Evaluations: A Meta-Analysis," Economic Journal, Royal Economic Society, vol. 120(548), pages 452-477, November.
    5. David Card & Jochen Kluve & Andrea Weber, 2018. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 894-931.
    6. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    7. Messer, Dolores & Wolter, Stefan C., 2009. "Money Matters: Evidence from a Large-Scale Randomized Field Experiment with Vouchers for Adult Training," IZA Discussion Papers 4017, IZA Network @ LISER.
    8. Joop Hartog & Sander Gerritsen, 2016. "Mincer Earnings Functions for the Netherlands 1962-2012," CESifo Working Paper Series 5719, CESifo.
    9. Wiljan van den Berge & Egbert Jongen & Karen van der Wiel, 2017. "Using Tax Deductions to Promote Lifelong Learning: Real and Shifting Responses," CPB Discussion Paper 353, CPB Netherlands Bureau for Economic Policy Analysis.
    10. Künn, Annemarie & Poulissen, Davey & van Eldert, Peter & Fouarge, Didier & de Grip, Andries, 2018. "Leren onder werkenden met een kwetsbare positie op de arbeidsmarkt," ROA Report 005, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    11. Thierry Magnac & Nicolas Pistolesi & Sébastien Roux, 2018. "Post-Schooling Human Capital Investments and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1219-1249.
    12. Yoram Ben-Porath, 1967. "The Production of Human Capital and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 75(4), pages 352-352.
    13. Gould, Eric D & Moav, Omer & Weinberg, Bruce A, 2001. "Precautionary Demand for Education, Inequality, and Technological Progress," Journal of Economic Growth, Springer, vol. 6(4), pages 285-315, December.
    14. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    15. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    16. Acemoglu, Daron & Pischke, Jorn-Steffen, 1999. "Beyond Becker: Training in Imperfect Labour Markets," Economic Journal, Royal Economic Society, vol. 109(453), pages 112-142, February.
    17. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    18. Gielen, Anne C. & Schils, Trudie, 2014. "Non-Standard Employment Patterns in the Netherlands," IZA Policy Papers 77, Institute of Labor Economics (IZA).
    19. McCall, B. & Smith, J. & Wunsch, C., 2016. "Government-Sponsored Vocational Education for Adults," Handbook of the Economics of Education,, Elsevier.
    20. Edwin Leuven, 2005. "The Economics of Private Sector Training: A Survey of the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 19(1), pages 91-111, February.
    21. Borghans, L. & Fouarge, D. & de Grip, A. & van Thor, J.A.F., 2014. "Werken en leren in Nederland," ROA Report 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    22. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post Schooling Human Capital Investments and the Life Cycle Variance of Earnings," IZA Discussion Papers 7407, IZA Network @ LISER.
    23. Bas Jacobs, 2018. "The marginal cost of public funds is one at the optimal tax system," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 25(4), pages 883-912, August.
    24. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    25. Van den Berge, Wiljan & Jongen, Egbert L. W. & van der Wiel, Karen, 2017. "Using Tax Deductions to Promote Lifelong Learning: Real and Shifting Responses," IZA Discussion Papers 10885, Institute of Labor Economics (IZA).
    26. Edwin Leuven & Hessel Oosterbeek, 2004. "Evaluating the Effect of Tax Deductions on Training," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 461-488, April.
    27. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    28. Lavecchia, A.M. & Liu, H. & Oreopoulos, P., 2016. "Behavioral Economics of Education," Handbook of the Economics of Education,, Elsevier.
    29. Joop Hartog & Sander Gerritsen, 2016. "Mincer Earnings Functions for the Netherlands 1962–2012," De Economist, Springer, vol. 164(3), pages 235-253, September.
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    Keywords

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    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods

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