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Productivity Gains from Worker Mobility and their Distribution between Workers and Firms

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  • Stoyanov, A.
  • Zubanov, N.V.

Abstract

Using data from the universe of Danish manufacturing firms and workers over the period 1995-2007, we estimate output gains linked to productivity spillovers through worker mobility, and calculate the shares in these gains accrued to firms, to the workers who bring spillovers, and to the rest of the workers. Applying our results to the manufacturing sector as a whole, the total output gains average at 0.16% per year, of which 80% is retained by the firms, 15% by the rest of the workers, and only 5% goes to the workers who bring spillovers. We therefore conclude that output gains through worker mobility are largely a positive externality for hiring firms.

Suggested Citation

  • Stoyanov, A. & Zubanov, N.V., 2012. "Productivity Gains from Worker Mobility and their Distribution between Workers and Firms," ERIM Report Series Research in Management ERS-2012-009-STR, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:32994
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    References listed on IDEAS

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    1. Ragnhild Balsvik, 2011. "Is Labor Mobility a Channel for Spillovers from Multinationals? Evidence from Norwegian Manufacturing," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 285-297, February.
    2. Smith, Jennifer C, 1996. "Wage Interactions: Comparisons or Fall-Back Options?," Economic Journal, Royal Economic Society, vol. 106(435), pages 495-506, March.
    3. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, January.
    4. Hanna Pesola, 2011. "Labour Mobility and Returns to Experience in Foreign Firms," Scandinavian Journal of Economics, Wiley Blackwell, vol. 113(3), pages 637-664, September.
    5. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    6. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    7. Markusen, James R. & Trofimenko, Natalia, 2009. "Teaching locals new tricks: Foreign experts as a channel of knowledge transfers," Journal of Development Economics, Elsevier, vol. 88(1), pages 120-131, January.
    8. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590, January.
    9. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    10. Jennifer P. Poole, 2013. "Knowledge Transfers from Multinational to Domestic Firms: Evidence from Worker Mobility," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 393-406, May.
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    Cited by:

    1. Köllö, János & Boza, István & Balázsi, László, 2021. "Wage gains from foreign ownership: evidence from linked employer-employee data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-3.

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    More about this item

    Keywords

    matched employer-employee data; productivity spillovers; wages; worker mobility;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

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