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Economic Institutions and Stability : A Network Approach

Author

Listed:
  • Gilles, R.P.
  • Lazarova, E.A.

    (Tilburg University, School of Economics and Management)

  • Ruys, P.H.M.

    (Tilburg University, School of Economics and Management)

Abstract

We consider a network economy in which economic agents are connected within a structure of value-generating relationships. Agents are assumed to be able to participate in three types of economic activities: autarkic self-provision; binary matching interactions; and multi-person cooperative collaborations. We introduce two concepts of stability and provide sufficient and necessary conditions on the prevailing network structure for the existence of stable assignments, both in the absence of externalities from cooperation as well as in the presence of size-based externalities. We show that institutional elements such as the emergence of socioeconomic roles and hierarchical leadership structures are necessary for establishing stability and as such support and promote stable economic development.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Gilles, R.P. & Lazarova, E.A. & Ruys, P.H.M., 2011. "Economic Institutions and Stability : A Network Approach," Other publications TiSEM a3203e25-2d8b-414b-8ae3-3, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:a3203e25-2d8b-414b-8ae3-304c08bcddbb
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    References listed on IDEAS

    as
    1. Robert P. Gilles & Emiliya A. Lazarova & Pieter H. M. Ruys, 2007. "Stability, Specialization And Social Recognition," Division of Labor & Transaction Costs (DLTC), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 83-109.
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    More about this item

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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