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Protective behavior in matching models

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  • Barberà, S.
  • Dutta, B.

Abstract

This paper analyzes the use of a version of lexical maximim strategies, called protective behavior, in two-sided matching models. It restricts attention to mechanisms which produce stable matchings, that is, matchings which are individually rational and pairwise optimal. The main results of the paper show that truth-telling is the unique form of protective behavior in two such mechanisms. The first is the one which selects the student-optimal stable matching in the college-admissions model, while the second is the mechanism which selects the buyer-optimal matching in the Shapley-Shubik assignment model. Journal of Economic Literature Classification Numbers: C78, D81.

Suggested Citation

  • Barberà, S. & Dutta, B., 1995. "Protective behavior in matching models," Games and Economic Behavior, Elsevier, vol. 8(2), pages 281-296.
    • Handle: RePEc:eee:gamebe:v:8:y:1995:i:2:p:281-296
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    1. Barbara, Salvador & Jackson, Matthew, 1988. "Maximin, leximin, and the protective criterion: Characterizations and comparisons," Journal of Economic Theory, Elsevier, vol. 46(1), pages 34-44, October.
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    Cited by:

    1. Joana Pais & Ágnes Pintér & Róbert F. Veszteg, 2011. "College Admissions And The Role Of Information: An Experimental Study," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(3), pages 713-737, August.
    2. Guillemette de Larquier, 1997. "Principes des marchés régis par appariement," Revue Économique, Programme National Persée, vol. 48(6), pages 1409-1438.
    3. Flip Klijn & Joana Pais & Marc Vorsatz, 2013. "Preference intensities and risk aversion in school choice: a laboratory experiment," Experimental Economics, Springer;Economic Science Association, vol. 16(1), pages 1-22, March.
    4. Fiestras-Janeiro, G. & Borm, P.E.M. & van Megen, F.J.C., 1996. "Protective Behavior in Games," Other publications TiSEM 0f0d5aed-021d-45d8-9776-0, Tilburg University, School of Economics and Management.
    5. Pais, Joana & Pintér, Ágnes, 2008. "School choice and information: An experimental study on matching mechanisms," Games and Economic Behavior, Elsevier, vol. 64(1), pages 303-328, September.
    6. Featherstone, Clayton R. & Niederle, Muriel, 2016. "Boston versus deferred acceptance in an interim setting: An experimental investigation," Games and Economic Behavior, Elsevier, vol. 100(C), pages 353-375.
    7. Marco Castillo & Ahrash Dianat, 2021. "Strategic uncertainty and equilibrium selection in stable matching mechanisms: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1365-1389, December.
    8. Fiestras-Janeiro, Gloria & Borm, Peter & van Megen, Freek, 1998. "Protective and Prudent Behaviour in Games," Journal of Economic Theory, Elsevier, vol. 78(1), pages 167-175, January.
    9. Qiufu Chen & Yuanmei Li & Xiaopeng Yin & Luosai Zhang & Siyi Zhou, 2024. "The Machiavellian frontier of stable mechanisms," Papers 2405.12804, arXiv.org, revised Jul 2024.
    10. Fonseca-Mairena, María Haydée & Triossi, Matteo, 2022. "Incentives and implementation in allocation problems with externalities," Journal of Mathematical Economics, Elsevier, vol. 99(C).
    11. Naeve, Jorg, 2000. "Maximax, leximax, and the demanding criterion," Mathematical Social Sciences, Elsevier, vol. 40(3), pages 313-325, November.
    12. Troyan, Peter & Morrill, Thayer, 2020. "Obvious manipulations," Journal of Economic Theory, Elsevier, vol. 185(C).
    13. Nicoló, Antonio & Rodríguez-Álvarez, Carmelo, 2012. "Transplant quality and patientsʼ preferences in paired kidney exchange," Games and Economic Behavior, Elsevier, vol. 74(1), pages 299-310.

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    More about this item

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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