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Job rotation or specialization? A dynamic matching model analysis

Author

Listed:
  • Morimitsu Kurino

    (Faculty of Economics, Keio University)

  • Yoshinori Kurokawa

    (Faculty of Humanities and Social Sciences, University of Tsukuba)

Abstract

Which works better when making a job assignment in firms, rotation or specialization? To answer this question, we develop a dynamic firm model of matching workers with indivisible jobs as in an overlapping generations (OLG) matching model a la Kurino (2014). First, we build a simple benchmark model without OLG in which all workers are either under-training or fully trained in each period, and then we show that either the rotation or the specialization of jobs for a worker emerges from the firms' profit maximization. We extend the benchmark model to the OLG model in which workers under- and posttraining coexist in each period. We show that the profit-maximizing allocation is either a rotation or a specialization in this extended model as well. Hence, in both the benchmark and the extended models, the rotation and specialization schemes are the only variations that can be optimal in terms of profits. Moreover, the rotation scheme is better when the training cost is smaller, the uncertainty about job continuation in the future is larger, or the slope of seniority wages is larger.

Suggested Citation

  • Morimitsu Kurino & Yoshinori Kurokawa, 2020. "Job rotation or specialization? A dynamic matching model analysis," Keio-IES Discussion Paper Series 2020-026, Institute for Economics Studies, Keio University.
  • Handle: RePEc:keo:dpaper:2020-026
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    More about this item

    Keywords

    Job assignment; Overlapping generations; Rotation; Specialization;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • P51 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Analysis of Economic Systems

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