Mathematical modeling of the population dynamics of different age-group workers in the regional economy

Khavinson M.J., Kulakov M.P.
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The article deals with the nonlinear model of population dynamics of different ages workers in the regional economy. The model is built on the principles underlying modeling in econophysics. The authors demonstrate the complex dynamics of the model regimes that impose fundamental limits on medium- and long-term forecast of employment in a region. By analogy with the biophysical approach the authors propose a classification of social interactions of the different age-group workers. The model analysis is given for the level of employment among age groups. The verification of the model performs on the statistical data of the Jewish Autonomous Region.

Keywords: nonlinear dynamics, econophysics, biophysics, age group, employed population, employment, region
Citation in English: Khavinson M.J., Kulakov M.P. Mathematical modeling of the population dynamics of different age-group workers in the regional economy // Computer Research and Modeling, 2014, vol. 6, no. 3, pp. 441-454
Citation in English: Khavinson M.J., Kulakov M.P. Mathematical modeling of the population dynamics of different age-group workers in the regional economy // Computer Research and Modeling, 2014, vol. 6, no. 3, pp. 441-454
DOI: 10.20537/2076-7633-2014-6-3-441-454
URL: http://crm-en.ics.org.ru/journal/article/2158/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
According to Crossref, this article is cited by:
  • Michael Jurevich Khavinson, Matvey Pavlovich Kulakov, Yefim Yakovlevich Frisman. Mathematical modeling of the age groups of employed peoples by the example of the southern regions of the Russian Far East. // Computer Research and Modeling. — 2016. — V. 8, no. 5. — P. 787. DOI: 10.20537/2076-7633-2016-8-5-787-801
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