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Computational Economic Modeling of Migration

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  • Klabunde, Anna

Abstract

In this paper an agent-based model of endogenously evolving migrant networks is developed to identify the determinants of migration and return decisions. Individuals are connected by links, the strength of which declines over time and distance. Methodologically, this paper combines parameterization using data from the Mexican Migration Project with calibration. It is shown that expected earnings, an idiosyncratic home bias, network ties to other migrants, strength of links to the home country and age have a significant impact on circular migration patterns. The model can reproduce spatial patterns of migration as well as the distribution of number of trips of migrants. It is shown how it can also be used for computational experiments and policy analysis.

Suggested Citation

  • 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.
    • Handle: RePEc:zbw:rwirep:471
    DOI: 10.4419/86788531
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    References listed on IDEAS

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    Cited by:

    1. Elsenbroich, Corinna & Payette, Nicolas, 2020. "Choosing to cooperate: Modelling public goods games with team reasoning," Journal of choice modelling, Elsevier, vol. 34(C).
    2. Maren Michaelsen & John Haisken-DeNew, 2015. "Migration magnet: the role of work experience in rural–urban wage differentials," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-25, December.
    3. Shyam Gouri Suresh, 2015. "The Aggregate and Distributional Effects of Migration Policies: A Multifaceted Analysis," Working Papers 15-01, Davidson College, Department of Economics.
    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. Gabriele De Luca & Thomas J. Lampoltshammer & Shahanaz Parven & Johannes Scholz, 2022. "A Literature Review on the Usage of Agent-Based Modelling to Study Policies for Managing International Migration," Social Sciences, MDPI, vol. 11(8), pages 1-32, August.

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    More about this item

    Keywords

    circular migration; social networks; agent-based computational economics;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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