Ordinal Bayesian incentive compatibility in random assignment model
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- Sulagna Dasgupta & Debasis Mishra, 2020. "Ordinal Bayesian incentive compatibility in random assignment model," Discussion Papers 20-06, Indian Statistical Institute, Delhi.
References listed on IDEAS
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Cited by:
- Mennle, Timo & Seuken, Sven, 2021. "Partial strategyproofness: Relaxing strategyproofness for the random assignment problem," Journal of Economic Theory, Elsevier, vol. 191(C).
- Majumdar, Dipjyoti & Roy, Souvik, 2021. "Ordinally Bayesian incentive compatible probabilistic voting rules," Mathematical Social Sciences, Elsevier, vol. 114(C), pages 11-27.
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More about this item
JEL classification:
- D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
NEP fields
This paper has been announced in the following NEP Reports:- NEP-DES-2020-10-19 (Economic Design)
- NEP-MIC-2020-10-19 (Microeconomics)
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