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Pick-an-object Mechanisms

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  • In'acio B'o
  • Rustamdjan Hakimov

Abstract

We introduce a new family of mechanisms for one-sided matching markets, denoted pick-an-object (PAO) mechanisms. When implementing an allocation rule via PAO, agents are asked to pick an object from individualized menus. These choices may be rejected later on, and these agents are presented with new menus. When the procedure ends, agents are assigned the last object they picked. We characterize the allocation rules that can be sequentialized by PAO mechanisms, as well as the ones that can be implemented in a robust truthful equilibrium. We justify the use of PAO as opposed to direct mechanisms by showing that its equilibrium behavior is closely related to the one in obviously strategy-proof (OSP) mechanisms, but implements commonly used rules, such as Gale-Shapley DA and top trading cycles, which are not OSP-implementable. We run laboratory experiments comparing truthful behavior when using PAO, OSP, and direct mechanisms to implement different rules. These indicate that agents are more likely to behave in line with the theoretical prediction under PAO and OSP implementations than their direct counterparts.

Suggested Citation

  • In'acio B'o & Rustamdjan Hakimov, 2020. "Pick-an-object Mechanisms," Papers 2012.01025, arXiv.org, revised Feb 2023.
  • Handle: RePEc:arx:papers:2012.01025
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    References listed on IDEAS

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    1. Guillen, Pablo & Hakimov, Rustamdjan, 2018. "The effectiveness of top-down advice in strategy-proof mechanisms: A field experiment," European Economic Review, Elsevier, vol. 101(C), pages 505-511.
    2. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    3. Hakimov, Rustamdjan & Kübler, Dorothea, 2019. "Experiments On Matching Markets: A Survey," Rationality and Competition Discussion Paper Series 153, CRC TRR 190 Rationality and Competition.
    4. Pablo Guillen & Rustamdjan Hakimov, 2017. "Not quite the best response: truth-telling, strategy-proof matching, and the manipulation of others," Experimental Economics, Springer;Economic Science Association, vol. 20(3), pages 670-686, September.
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