Agent-based modeling of social and economic impacts of migration under the government regulated employment

Publication type Article
Status Published
Affiliation: Scientific Director of the Central Economics and Mathematics Institute of the Russian Academy of Sciences
Address: Moscow, Russian Federation
Occupation: Director, CEMI RAS
Affiliation: Central economic and mathematical Institute of the Russian Academy of Sciences
Address: Russian Federation
Occupation: Senior Research Scholar
Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Russian Federation
Occupation: Chief Researcher Scholar
Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Russian Federation
Occupation: Program Director
Affiliation: International Institute for Applied Systems Analysis
Address: Austria
Occupation: Research Scholar
Affiliation: International Institute for Applied Systems Analysis
Address: Austria
Journal nameEkonomika i matematicheskie metody
EditionVolume 58 Issue 1


This article presents an approach to modelling the socio-economic impacts of migration using an agent-based model (ABM) of interactions between migrants and natives. The model also accounts for a regulatory function of government which is the centralized creation of new workplaces that differ in the level of ‘technological return’ (i.e. the labour productivity that depends on the sectoral belonging of the formed workplaces). The proposed approach is based on the previously developed model of interactions between migrants and native individuals. It is focused on studying the socio-economic impacts of migration in the system with a more complex regulatory function of the government, which creates low-technological and high-technological workplaces that are attractive for migrants and natives, respectively. The agent-government has two possible strategies of workplace creation: cluster-based workplace creation in areas with high concentration of migrants and natives and creation of uniform workplaces aimed at increasing multi-particle interactions between agents of different types, and reducing the level of population segregation. This study also investigates the processes of assimilation, which are subject to the level of segregation of the studied communities, public investment in education and integration, etc. The proposed model also considers the influence of various control parameters, in particular, the influence of the agents’ tolerance level on their location choice in a boundary neighbourhood, the influence of the agents’ education level on the job search area dimension, and other important characteristics reflecting the behavioural features of members of the studied communities. Socio-economic impacts of migration are studied under various scenario conditions, which include different patterns of agents’ behaviour belonging to the considered communities, the rate of new migrants’ inflow, the amount of government education expenditures, etc.


Keywordsagent-based migration modeling, government regulation of employment, socio-economic impacts of migration, AnyLogic
AcknowledgmentThis study was partially funded by the Russian Foundation for Basic Research (project 18-51-14010 АНФ_а).
Publication date18.03.2022
Number of characters34791
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