Dynamics of probabilistic labor markets: statistical physics perspective
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.
|Date of creation:||Sep 2013|
|Publication status:||Published in Lecture Notes in Economics and Mathematical Systems, Vol. 662, pp. 53-64, "Managing Market Complexity", Springer (2012)|
|Contact details of provider:|| Web page: http://arxiv.org/|
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- Roberto Gabriele, 2002. "Labor Market Dynamics and Institutions: an Evolutionary Approach," LEM Papers Series 2002/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Casares, Miguel & Vázquez Pérez, Jesús & Moreno, Antonio, 2012.
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- Miguel Casares & Antonio Moreno & JesÃºs VÃ¡zquez, 2010. "An Estimated New-Keynesian Model with Unemployment as Excess Supply of Labor," Faculty Working Papers 09/10, School of Economics and Business Administration, University of Navarra.
- Miguel Casares & Antonio Moreno & JesÃºs VÃ¡zquez, 2012. "An Estimated New-Keynesian Model with Unemployment as Excess Supply of Labor," Faculty Working Papers 01/12, School of Economics and Business Administration, University of Navarra.
- Miguel Casares & Antonio Moreno & Jesús Vázquez, 2010. "An Estimated New-Keynesian Model with Unemployment as Excess Supply of Labor," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 1003, Departamento de Economía - Universidad Pública de Navarra.
- Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, December.
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