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Assignment markets with the same core

Author

Listed:
  • F. Javier Martinez-de-Albeniz
  • Marina Nunez
  • Carles Rafels

    (Universitat de Barcelona)

Abstract

In the framework of bilateral assignment games, we study the set of matrices associated with assignment markets with the same core. We state conditions on matrix entries that ensure that the related assignment games have the same core. We prove that the set of matrices leading to the same core form a join-semilattice with a nite number of minimal elements and a unique maximum. We provide a characterization of the minimal elements. A sucient condition under which the join-semilattice reduces to a lattice is also given.

Suggested Citation

  • F. Javier Martinez-de-Albeniz & Marina Nunez & Carles Rafels, 2010. "Assignment markets with the same core," Working Papers in Economics 239, Universitat de Barcelona. Espai de Recerca en Economia.
  • Handle: RePEc:bar:bedcje:2010239
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    References listed on IDEAS

    as
    1. Marina Núñez, 2004. "A note on the nucleolus and the kernel of the assignment game," International Journal of Game Theory, Springer;Game Theory Society, vol. 33(1), pages 55-65, January.
    2. 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.
    3. Hamers, Herbert & Klijn, Flip & Solymosi, Tamas & Tijs, Stef & Pere Villar, Joan, 2002. "Assignment Games Satisfy the CoMa-Property," Games and Economic Behavior, Elsevier, vol. 38(2), pages 231-239, February.
    4. SCHMEIDLER, David, 1969. "The nucleolus of a characteristic function game," LIDAM Reprints CORE 44, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Solymosi, Tamas & Raghavan, Tirukkannamangai E S, 1994. "An Algorithm for Finding the Nucleolus of Asignment Games," International Journal of Game Theory, Springer;Game Theory Society, vol. 23(2), pages 119-143.
    6. T. E. S. Raghavan & Tamás Solymosi, 2001. "Assignment games with stable core," International Journal of Game Theory, Springer;Game Theory Society, vol. 30(2), pages 177-185.
    7. Núñez, Marina & Rafels, Carles, 2008. "On the dimension of the core of the assignment game," Games and Economic Behavior, Elsevier, vol. 64(1), pages 290-302, September.
    8. 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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    Cited by:

    1. Tejada, J. & Borm, P.E.M. & Lohmann, E.R.M.A., 2013. "A Unifying Model for Matching Situations," Other publications TiSEM 18155a8c-1961-495d-a20d-f, Tilburg University, School of Economics and Management.
    2. Marina Núñez & Tamás Solymosi, 2017. "Lexicographic allocations and extreme core payoffs: the case of assignment games," Annals of Operations Research, Springer, vol. 254(1), pages 211-234, July.
    3. F. Javier Martínez-de-Albéniz & Carlos Rafels & Neus Ybern, 2018. "Solving Becker's assortative assignments and extensions," UB School of Economics Working Papers 2018/376, University of Barcelona School of Economics.
    4. F.Javier Martínez-de-Albéniz & Carles Rafels & Neus Ybern, 2015. "Insights into the nucleolus of the assignment game," UB School of Economics Working Papers 2015/333, University of Barcelona School of Economics.
    5. R. Branzei & E. Gutiérrez & N. Llorca & J. Sánchez-Soriano, 2021. "Does it make sense to analyse a two-sided market as a multi-choice game?," Annals of Operations Research, Springer, vol. 301(1), pages 17-40, June.
    6. Martínez-de-Albéniz, F. Javier & Rafels, Carlos & Ybern, Neus, 2019. "Solving Becker's assortative assignments and extensions," Games and Economic Behavior, Elsevier, vol. 113(C), pages 248-261.
    7. Tejada, O. & Borm, P. & Lohmann, E., 2014. "A unifying model for matrix-based pairing situations," Mathematical Social Sciences, Elsevier, vol. 72(C), pages 55-61.

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    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games

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