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Employment polarization and the role of the apprenticeship system

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  • Michelle Rendall
  • Franziska J. Weiss

Abstract

This paper studies the effects of the apprenticeship system on innovation and labor market polarization. A stylized model with two key features is developed: (1) apprentices are more productive due to industry-specific training, but (2) from the firm’s perspective, when training apprentices, technological innovation is costly since training becomes obsolete. Thus, apprentices correlate with slower adoption of skillreplacing technologies, but also less employment polarization. We test this hypothesis on German regions given local variation in apprenticeship systems until 1976. The results shows no employment polarization related to apprentices, but similar displacement of non-apprentices as in the US.

Suggested Citation

  • Michelle Rendall & Franziska J. Weiss, 2014. "Employment polarization and the role of the apprenticeship system," ECON - Working Papers 141, Department of Economics - University of Zurich.
    • Handle: RePEc:zur:econwp:141
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    Cited by:

    1. Giorgio d'Agostino & Michele Raitano & Margherita Scarlato, 2022. "Job mobility and heterogeneous returns to apprenticeship training in Italy," British Journal of Industrial Relations, London School of Economics, vol. 60(2), pages 391-423, June.
    2. Werner Eichhorst & Ulf Rinne, 2017. "Digital Challenges for the Welfare State," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 18(04), pages 03-08, December.
    3. Fabio Cerina & Alessio Moro & Michelle Rendall, 2021. "The Role Of Gender In Employment Polarization," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(4), pages 1655-1691, November.
    4. Esther Mirjam Girsberger & Miriam Rinawi & Matthias Krapf, 2018. "Wages and employment: The role of occupational skills," Economics of Education Working Paper Series 0153, University of Zurich, Department of Business Administration (IBW).
    5. Michael Peneder & Julia Bock-Schappelwein & Matthias Firgo & Oliver Fritz & Gerhard Streicher, 2016. "Österreich im Wandel der Digitalisierung," WIFO Studies, WIFO, number 58979, February.
    6. Dauth, Wolfgang, 2014. "Job polarization on local labor markets," IAB-Discussion Paper 201418, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    8. Maoyong Fan & Anita Alves Pena, 2021. "Decomposing US Political Ideology: Local Labor Market Polarization and Race in the 2016 Presidential Election," Journal of Economics, Race, and Policy, Springer, vol. 4(1), pages 56-70, March.
    9. Ipsita Roy & Davide Consoli, 2018. "Employment Polarization in Germany: Role of Technology, Trade and Human Capital," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(2), pages 251-279, June.
    10. Maoyong Fan & Anita Alves Pena, 0. "Decomposing US Political Ideology: Local Labor Market Polarization and Race in the 2016 Presidential Election," Journal of Economics, Race, and Policy, Springer, vol. 0, pages 1-15.
    11. Andreas Beerli & Ronald Indergand & Johannes S. Kunz, 2023. "The supply of foreign talent: how skill-biased technology drives the location choice and skills of new immigrants," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 681-718, April.
    12. Filippo Pusterla & Ursula Renold, 2022. "Does ICT affect the demand for vocationally educated workers?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-22, December.
    13. Matthias Haslberger, 2021. "Routine-Biased Technological Change Does Not Always Lead to Polarisation: Evidence from 10 OECD Countries, 1995-2013," LIS Working papers 814, LIS Cross-National Data Center in Luxembourg.
    14. Esther Mirjam Girsberger & Miriam Rinawi & Matthias Krapf, 2018. "Wages and employment: The role of occupational skills," Economics of Education Working Paper Series 0153, University of Zurich, Department of Business Administration (IBW).
    15. Wolfgang Dauth & Johann Eppelsheimer, 2020. "Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis: a guide," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-14, December.

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    More about this item

    Keywords

    Apprentices; educational system; employment polarization; technology adoption;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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