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Complex Networks Analysis of European International Trade: An Agent-Based Model

Author

Listed:
  • Kırer, Hale

    (Balıkesir University, Bandırma Faculty of Economics and Administrative Sciences, Department of Econometrics)

  • Çırpıcı, Yasemin

    (Yıldız Technical University, Faculty of Economics and Administrative Sciences, Department of Economics)

  • Eren, Ercan

    (Yıldız Technical University, Faculty of Economics and Administrative Sciences, Department of Economics)

Abstract

Economic systems involve many heterogeneous agents and their complex interactions. These lead many studies, in recent years, to focus on the complex networks. Agent based modelling and simulation (ABMS) is a powerful tool for analyzing such systems. This model enables interacting agents to assess individually their positions and makes decisions on the basis of a set of rules that configure the system. International trade can be thought of as a complex network since it consists of interacting heterogeneous agents (countries) with special characteristics. Network representation also makes it possible to analyze indirect trade interaction among countries. In this study the network of international trade of European countries is modelled by using an agent-based model. The aim is to display briefly the network structure of the European international trade.

Suggested Citation

  • Kırer, Hale & Çırpıcı, Yasemin & Eren, Ercan, 2013. "Complex Networks Analysis of European International Trade: An Agent-Based Model," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey 243, Ekonomik Yaklasim Association.
    • Handle: RePEc:eyd:cp2013:243
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    References listed on IDEAS

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    1. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2013. "Null models of economic networks: the case of the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 75-107, April.
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    5. K. Bhattacharya & G. Mukherjee & S. S. Manna, 2007. "The International Trade Network," Papers 0707.4347, arXiv.org.
    6. Garlaschelli, Diego & Loffredo, Maria I., 2005. "Structure and evolution of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 138-144.
    7. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
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    Cited by:

    1. Ercan Eren & Demet Topal Koç, 2017. "AB Ülkeleri ve Türkiye'nin Ticaret İlişkilerine Ağ Yaklaşımı," Yildiz Social Science Review, Yildiz Technical University, vol. 3(2), pages 35-64.

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    More about this item

    Keywords

    Complex Networks; Agent-Based Modelling; Complexity Economics; International Trade.;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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