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An agent-based decision model of migration, embedded in the life course - Model description in ODD+D format

Author

Listed:
  • Anna Klabunde

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Frans J. Willekens

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Sabine Zinn

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Matthias Leuchter

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

This report contains the model description for a prototype model of migration decision making which is based on the theory of planned behavior. It makes use of empirically estimated demographic transition rates and is thus, to our knowledge, the first decision model of migration which is embedded in the life course. Moreover, it is, other than most agent-based models, a continous time model which makes heavy use of survival theory and competing risks. The model description follows the ODD+D (``Overview, Design Concepts, Details + Decisions'') protocol as suggested in Müller et al. (2013).

Suggested Citation

  • Anna Klabunde & Frans J. Willekens & Sabine Zinn & Matthias Leuchter, 2015. "An agent-based decision model of migration, embedded in the life course - Model description in ODD+D format," MPIDR Working Papers WP-2015-002, Max Planck Institute for Demographic Research, Rostock, Germany.
  • Handle: RePEc:dem:wpaper:wp-2015-002
    DOI: 10.4054/MPIDR-WP-2015-002
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    References listed on IDEAS

    as
    1. Icek Ajzen & Jane Klobas, 2013. "Fertility intentions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(8), pages 203-232.
    2. Sabine Zinn, 2012. "A Mate-Matching Algorithm for Continuous-Time Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 31-51.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Valery Leonidovich Makarov & Albert Raufovich Bakhtizin & Elena Davidovna Sushko, 0. "Agent-Based Models as a Means of Testing of Management Solutions," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 12.
    2. Tom Warnke & Oliver Reinhardt & Anna Klabunde & Frans Willekens & Adelinde M. Uhrmacher, 2017. "Modelling and simulating decision processes of linked lives: An approach based on concurrent processes and stochastic race," Population Studies, Taylor & Francis Journals, vol. 71(0), pages 69-83, October.
    3. 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.
    4. Valeriy Makarov & Albert Bakhtizin & Elena Sushko & Alina Ageeva, 2017. "Agent-Based Approach for Modelling the Labour Migration from China to Russia," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 331-341.
    5. S'ergio Bacelar & Luis Antunes, 2019. "Generational political dynamics of retirement pensions systems: An agent based model," Papers 1909.08706, arXiv.org.

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    More about this item

    Keywords

    Senegal; migration;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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