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Full surplus extraction and within-period ex post implementation in dynamic environments

Author

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  • Noda, Shunya

    (Department of Economics, Stanford University)

Abstract

We study full surplus extraction and implementation in dynamic environments. We exploit intertemporal correlations of agents' types to construct within-period ex post incentive compatible mechanisms. First, we formulate one-shot environments, in which a single agent has a hidden type and the planner observes a public signal about the agent's type after a type-contingent allocation is chosen. We propose necessary and sufficient conditions for full surplus extraction (strong detectability) and for implementability of the targeted allocation rule (weak detectability) in this one-shot problem. We decompose the general dynamic problem into one-shot problems, and obtain sufficient conditions for surplus extraction and implementation.

Suggested Citation

  • Noda, Shunya, 2019. "Full surplus extraction and within-period ex post implementation in dynamic environments," Theoretical Economics, Econometric Society, vol. 14(1), January.
  • Handle: RePEc:the:publsh:2226
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    References listed on IDEAS

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    Cited by:

    1. Hitoshi Matsushima & Shunya Noda, 2019. "Mechanism Design with General Ex-Ante Investments (Revised version of F415 )," CARF F-Series CARF-F-464, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    2. Guo, Huiyi, 2019. "Mechanism design with ambiguous transfers: An analysis in finite dimensional naive type spaces," Journal of Economic Theory, Elsevier, vol. 183(C), pages 76-105.
    3. Hitoshi Matsushima & Shunya Noda, 2017. "Mechanism Design in Hidden Action and Hidden Information: Richness and Pure-VCG," CIRJE F-Series CIRJE-F-1057, CIRJE, Faculty of Economics, University of Tokyo.
    4. Hitoshi Matsushima & Shunya Noda, 2017. "Mechanism Design in Hidden Action and Hidden Information: Richness and Pure-VCG (Revised version of F-386)," CARF F-Series CARF-F-415, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    5. Hitoshi Matsushima & Shunya Noda, 2019. "Mechanism Design with General Ex-Ante Investments," CIRJE F-Series CIRJE-F-1124, CIRJE, Faculty of Economics, University of Tokyo.
    6. Liu, Heng, 2018. "Efficient dynamic mechanisms in environments with interdependent valuations: the role of contingent transfers," Theoretical Economics, Econometric Society, vol. 13(2), May.
    7. Hitoshi Matsushima & Shunya Noda, 2016. "Mechanism Design in Hidden Action and Hidden Information: Richness and Pure Groves," CIRJE F-Series CIRJE-F-1015, CIRJE, Faculty of Economics, University of Tokyo.

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    More about this item

    Keywords

    Dynamic mechanism design; perfect Bayesian equilibrium; revenue maximization; full surplus extraction;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law

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