Quantum and algorithmic Bayesian mechanisms
Bayesian implementation concerns decision making problems when agents have incomplete information. This paper proposes that the traditional sufficient conditions for Bayesian implementation shall be amended by virtue of a quantum Bayesian mechanism. Furthermore, by using an algorithmic Bayesian mechanism, this amendment holds in the macro world too.
|Date of creation:||05 Apr 2011|
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- Thomas R. Palfrey & Sanjay Srivastava, 1987.
"On Bayesian Implementable Allocations,"
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Oxford University Press, vol. 54(2), pages 193-208.
- Palfrey, Thomas R. & Srivastava, Sanjay., 1986. "On Bayesian Implementable Allocations," Working Papers 624, California Institute of Technology, Division of the Humanities and Social Sciences.
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- Palfrey, Thomas R. & Srivastava, Sanjay., 1987. "Mechanism Design with Incomplete Information: A Solution to the Implementation Problem," Working Papers 658, California Institute of Technology, Division of the Humanities and Social Sciences.
- Eric Maskin, 1999. "Nash Equilibrium and Welfare Optimality," Review of Economic Studies, Oxford University Press, vol. 66(1), pages 23-38.
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- Jackson, Matthew O, 1991. "Bayesian Implementation," Econometrica, Econometric Society, vol. 59(2), pages 461-477, March.
- Roberto Serrano, 2003. "The Theory of Implementation of Social Choice Rules," Economics Working Papers 0033, Institute for Advanced Study, School of Social Science.
- Roberto Serrano, 2003. "The Theory of Implementation of Social Choice Rules," Working Papers 2003-19, Brown University, Department of Economics.
- Wu, Haoyang, 2011. "On amending the sufficient conditions for Nash implementation," MPRA Paper 30067, University Library of Munich, Germany. Full references (including those not matched with items on IDEAS)
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