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Modelling Negotiated Decision Making: a Multilateral, Multiple Issues, Non-Cooperative Bargaining Model with Uncertainty

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  • Sgobbi, Alessandra
  • Carraro, Carlo
Abstract
The relevance of bargaining to everyday life can easily be ascertained, yet the study of any bargaining process is extremely hard, involving a multiplicity of questions and complex issues. The objective of this paper is to provide new insights on some dimensions of the bargaining process - asymmetries and uncertainties in particular - by using a non-cooperative game theory approach. We develop a computational model which simulates the process of negotiation among more than two players, who bargain over the sharing of more than one pie. Through numerically simulating several multiple issues negotiation games among multiple players, we identify the main features of players' optimal strategies and equilibrium agreements. As in most economic situations, uncertainty crucially affects also bargaining processes. Therefore, in our analysis, we introduce uncertainty over the size of the pies to be shared and assess the impacts on players' strategic behaviour. Our results confirm that uncertainty crucially affects players' behaviour and modifies the likelihood of a self-enforcing agreement to emerge. The model proposed here can have several applications, in particular in the field of natural resource management, where conflicts over how to share a resource of a finite size are increasing.

Suggested Citation

  • Sgobbi, Alessandra & Carraro, Carlo, 2007. "Modelling Negotiated Decision Making: a Multilateral, Multiple Issues, Non-Cooperative Bargaining Model with Uncertainty," Economic Theory and Applications Working Papers 8224, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemet:8224
    DOI: 10.22004/ag.econ.8224
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    References listed on IDEAS

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    Cited by:

    1. Sgobbi, Alessandra & Carraro, Carlo, 2011. "A Stochastic Multiple Players Multi-Issues Bargaining Model for the Piave River Basin," Strategic Behavior and the Environment, now publishers, vol. 1(2), pages 119-150, April.

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    More about this item

    Keywords

    Risk and Uncertainty;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory

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