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Dynamics of probabilistic labor markets: statistical physics perspective

In: Managing Market Complexity

Author

Listed:
  • He Chen

    (Hokkaido University)

  • Jun-ichi Inoue

    (Hokkaido University)

Abstract

We introduce a toy probabilistic model to analyze job-matching processes in recent Japanese labor markets for university graduates by means of statistical physics. We show that the aggregation probability of each company is rewritten by means of non-linear map under several conditions. Mathematical treatment of the map enables us to discuss the condition on which the rankings of arbitrary two companies are reversed during the dynamics. The so-called ’mismatch’ between students and companies is discussed from both empirical and theoretical viewpoints.

Suggested Citation

  • He Chen & Jun-ichi Inoue, 2012. "Dynamics of probabilistic labor markets: statistical physics perspective," Lecture Notes in Economics and Mathematical Systems, in: Andrea Teglio & Simone Alfarano & Eva Camacho-Cuena & Miguel Ginés-Vilar (ed.), Managing Market Complexity, edition 127, chapter 0, pages 53-64, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-31301-1_5
    DOI: 10.1007/978-3-642-31301-1_5
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    Cited by:

    1. He Chen & Jun-ichi Inoue, 2013. "Learning curve for collective behavior of zero-intelligence agents in successive job-hunting processes with a diversity of Jaynes-Shannon's MaxEnt principle," Papers 1309.5053, arXiv.org.
    2. Takao Hishikawa & Jun-ichi Inoue, 2014. "Probabilistic flows of inhabitants in urban areas and self-organization in housing markets," Papers 1406.6100, arXiv.org.

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