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Monotonic Core Allocation Paths for Assignment Games

Author

Listed:
  • Takaaki Abe

    (Graduate School of Economics, Waseda University)

  • Shuige Liu

    (School of Political Science and Economics, Waseda University)

Abstract

We introduce a modification of Sprumont [9]'s population monotonic allocation scheme (PMAS), called monotonic core allocation path (MCAP) for assignment games, which is a sequence of allocations along an order on the set of players satisfying that (1) each allocation is in the core of the subgame of the corresponding players at that step, and (2) the payoffs for each player are non-decreasing through the sequence. The notion of MCAP preserves the population monotonicity of PMAS while avoids the difficulty that PMAS does not exist in many market games. We show that a MCAP exists for every assignment game. The terminals of MCAP form a re nement of the core. We also show that the terminals of MCAP coincide with the extreme core allocations in two subclasses of assignment games:gloves games and Bohm-Bawerk games. The strong connection of MCAP with extreme core allocations suggests some con ict between the stability of a coalition formation process and the fairness of the resulting outcomes.

Suggested Citation

  • Takaaki Abe & Shuige Liu, 2018. "Monotonic Core Allocation Paths for Assignment Games," Working Papers 1808, Waseda University, Faculty of Political Science and Economics.
  • Handle: RePEc:wap:wpaper:1808
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    References listed on IDEAS

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    1. Josep Izquierdo & Marina Núñez & Carles Rafels, 2007. "A simple procedure to obtain the extreme core allocations of an assignment market," International Journal of Game Theory, Springer;Game Theory Society, vol. 36(1), pages 17-26, September.
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    6. Nunez, Marina & Rafels, Carles, 2003. "Characterization of the extreme core allocations of the assignment game," Games and Economic Behavior, Elsevier, vol. 44(2), pages 311-331, August.
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