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Incentive Compatibility and Differentiability: New Results and Classic Applications

Author

Listed:
  • George J. Mailath

    (Department of Economics, University of Pennsylvania)

  • Ernst-Ludwig von Thadden

    (Department of Economics, University of Mannheim)

Abstract

This note provides several generalizations of Mailath's (1987) result that incentive compatibility plus separation implies differentiability. The new results extend the theory to classic models in finance such as Leland and Pyle (1977), Glosten (1989), and De Marzo and Duffie (1999), that were not previously covered.

Suggested Citation

  • George J. Mailath & Ernst-Ludwig von Thadden, 2010. "Incentive Compatibility and Differentiability: New Results and Classic Applications," PIER Working Paper Archive 10-032, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    • Handle: RePEc:pen:papers:10-032
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    Cited by:

    1. Weng, Xi & Wu, Fan & Yin, Xundong, 2023. "Linear Riley equilibria in quadratic signaling games," Journal of Economic Theory, Elsevier, vol. 213(C).
    2. Jiwoong Lee & Rudolf Müller & Dries Vermeulen, 2019. "Separating equilibrium in quasi-linear signaling games," International Journal of Game Theory, Springer;Game Theory Society, vol. 48(4), pages 1033-1054, December.
    3. Lisa M. Scheele & Ulrich W. Thonemann & Marco Slikker, 2018. "Designing Incentive Systems for Truthful Forecast Information Sharing Within a Firm," Management Science, INFORMS, vol. 64(8), pages 3690-3713, August.
    4. Ryo Ishida & Takuro Miyamoto, 2014. "Does an Optimal Voluntary Approach Flexibly and Efficiently Control Emissions from Heterogeneous Firms?," Discussion papers ron257, Policy Research Institute, Ministry of Finance Japan.
    5. Mike Burkart & Samuel Lee, 2016. "Smart Buyers," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 5(2), pages 239-270.
    6. Junjie Zhou & Ying-Ju Chen, 2016. "Targeted Information Release in Social Networks," Operations Research, INFORMS, vol. 64(3), pages 721-735, June.
    7. Christopher Gedge & James W. Roberts & Andrew Sweeting, 2014. "A Model of Dynamic Limit Pricing with an Application to the Airline Industry," NBER Working Papers 20293, National Bureau of Economic Research, Inc.
    8. Lu, Zhuoran, 2025. "Selling signals," Journal of Economic Theory, Elsevier, vol. 224(C).
    9. Fuhai HONG & Xiaojian ZHAO, 2014. "Sunk Cost as a Self-Disciplining Device," Economic Growth Centre Working Paper Series 1503, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    10. Andrew M. Davis & Elena Katok & Anthony M. Kwasnica, 2014. "Should Sellers Prefer Auctions? A Laboratory Comparison of Auctions and Sequential Mechanisms," Management Science, INFORMS, vol. 60(4), pages 990-1008, April.

    More about this item

    Keywords

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    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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