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Mechanism Design and Intentions

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  • Felix Bierbrauer
  • Nick Netzer

Abstract

We introduce intention-based social preferences into a Bayesian mechanism design framework. We first show that, under common knowledge of social preferences, any tension between material efficiency, incentive compatibility, and voluntary participation can be resolved. Hence, famous impossibility results such as the one by Myerson and Satterthwaite (1983) are turned into possibility results. Second, we provide a systematic account of the welfare implications of kindness sensations. Finally, we turn to an environment without common knowledge of social preferences and introduce the notion of a psychologically robust mechanism. Such a mechanism can be implemented without information about the type or the intensity of social preferences. We show that the mechanisms which have been the focus of the conventional mechanism design literature can be modified to achieve psychological robustness.

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Paper provided by University of Cologne, Department of Economics in its series Working Paper Series in Economics with number 53.

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Date of creation: 12 Mar 2012
Date of revision: 21 Aug 2012
Handle: RePEc:kls:series:0053

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Keywords: Mechanism Design; Psychological Games; Social Preferences; Intentions; Reciprocity; Revelation Principle;

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Cited by:
  1. Geoffroy de Clippel & Kfir Eliaz & Brian Knight, 2012. "On the Selection of Arbitrators," Working Papers 2012-8, Brown University, Department of Economics.
  2. Björn Bartling & Nick Netzer, 2014. "An Externality-Robust Auction: Theory and Experimental Evidence," CESifo Working Paper Series 4771, CESifo Group Munich.
  3. Björn Bartling & Nick Netzer, 2014. "An externality-robust auction: theory and experimental evidence," ECON - Working Papers 153, Department of Economics - University of Zurich.

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