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Agent-Based Model Analysis of Impact of Immigration on Switzerland’s Social Security

Author

Listed:
  • Marcello Marini

    (Institut for Energy Technology, LEC, ETH)

  • Ndaona Chokani

    (Institut for Energy Technology, LEC, ETH)

  • Reza S. Abhari

    (Institut for Energy Technology, LEC, ETH)

Abstract

Within a society of demographic aging, which is increasing financial pressure on the social security system, and with significant immigration due to relative prosperity, it is a challenge to design social policy that addresses the needs of the whole society. In order to account for the complex interactions of population dynamics, urban development, and population behavior, we have developed a comprehensive simulation framework with agent-based models on graphical processor unit computer architecture. Using as a test case the whole population of Switzerland, we have examined on an annual basis until the year 2035 the impacts of three different trends of immigration on Switzerland’s social security system. Our agent-based simulations show that if the annual immigration rates are limited to 50% of today’s rate, the social security system will become insolvent by 2027. On the other hand, if immigration rates are maintained, but tailored to favor large families with children, the social security system is then more sustainable.

Suggested Citation

  • Marcello Marini & Ndaona Chokani & Reza S. Abhari, 2019. "Agent-Based Model Analysis of Impact of Immigration on Switzerland’s Social Security," Journal of International Migration and Integration, Springer, vol. 20(3), pages 787-808, August.
    • Handle: RePEc:spr:joimai:v:20:y:2019:i:3:d:10.1007_s12134-018-0631-8
    DOI: 10.1007/s12134-018-0631-8
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    1. Tomáš Beňuška & Pavel Nečas, 2021. "On societal security of the state: applying a perspective of sustainability to immigration," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(2), pages 473-487, December.

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