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Return Migration After Brain Drain: A Simulation Approach

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Abstract

The Brain Drain phenomenon is particularly heterogeneous and is characterized by peculiar specifications. It influences the economic fundamentals of both the country of origin and the host one in terms of human capital accumulation. Here, the brain drain is considered from a microeconomic perspective: more precisely we focus on the individual rational decision to return, referring it to the social capital owned by the worker. The presented model compares utility levels to justify agent's migration conduct and to simulate several scenarios within a computational environment. In particular, we developed a simulation framework based on two fundamental individual features, i.e. risk aversion and initial expectation, which characterize the dynamics of different agents according to the evolution of their social contacts. Our main result is that, according to the value of risk aversion and initial expectation, the probability of return migration depends on their ratio, with a certain degree of approximation: when risk aversion is much bigger than the initial expectation, the probability of returns is maximal, while, in the opposite case, the probability for the agents to remain abroad is very high. In between, when the two values are comparable, it does exist a broad intertwined region where it is very difficult to draw any analytical forecast.

Suggested Citation

  • Alessio Emanuele Biondo & Alessandro Pluchino & Andrea Rapisarda, 2013. "Return Migration After Brain Drain: A Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-11.
  • Handle: RePEc:jas:jasssj:2012-67-3
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    Cited by:

    1. Furkan Gursoy & Bertan Badur, 2021. "An Agent-Based Modelling Approach to Brain Drain," Papers 2103.03234, arXiv.org, revised Mar 2021.
    2. Макаров В.Л., 2013. "Социальное Моделирование Набирает Обороты," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(4), pages 5-17, октябрь.
    3. Anna Klabunde, 2014. "Computational Economic Modeling of Migration," Ruhr Economic Papers 0471, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    4. Klabunde, Anna, 2014. "Computational Economic Modeling of Migration," Ruhr Economic Papers 471, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    6. Miranda Simon, 2019. "Path Dependency and Adaptation: The Effects of Policy on Migration Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(2), pages 1-2.
    7. repec:zbw:rwirep:0471 is not listed on IDEAS

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