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A Dynamic Model of Equilibrium Selection in Signaling Markets

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  • Noldeke, G.
  • Samuelson, L.

Abstract

In his work on market signaling, Spence proposed a dynamic model of a signaling market in which a buyer revises prices in light of experience and sellers choose utility-maximizing signals given these prices. Spence also suggested that subjecting the dynamic process to rare perturbations might allow one to choose between multiple equilibria. This paper examines the effect of introducing such perturbations into Spence's dynamic model. We find that refinement results arise naturally from the dynamic analysis. In a broad class of markets, our model selects a separating equilibrium outcome if and only if the equilibrium outcome satisfies a version of the undefeated equilibrium concept, whereas a pooling equilibrium outcome is selected if and only if the equilibrium outcome is both undefeated and satisfies D1.
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(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Noldeke, G. & Samuelson, L., 1995. "A Dynamic Model of Equilibrium Selection in Signaling Markets," Working papers 9518, Wisconsin Madison - Social Systems.
  • Handle: RePEc:att:wimass:9518
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    References listed on IDEAS

    as
    1. In-Koo Cho & David M. Kreps, 1987. "Signaling Games and Stable Equilibria," The Quarterly Journal of Economics, Oxford University Press, vol. 102(2), pages 179-221.
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    Citations

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    Cited by:

    1. Schipper, Burkhard C., 2009. "Imitators and optimizers in Cournot oligopoly," Journal of Economic Dynamics and Control, Elsevier, vol. 33(12), pages 1981-1990, December.
    2. Azomahou, T. & Opolot, D., 2014. "Epsilon-stability and the speed of learning in network games," MERIT Working Papers 036, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Wilkening, Tom, 2016. "Information and the persistence of private-order contract enforcement institutions: An experimental analysis," European Economic Review, Elsevier, vol. 89(C), pages 193-215.
    4. Raab, Philippe, 2005. "Can Endogenous Group Formation Prevent Coordination Failure? A Theoretical and Experimental Investigation," IZA Discussion Papers 1628, Institute for the Study of Labor (IZA).
    5. Inderst, Roman, 2002. "Contractual Signaling in a Market Environment," Games and Economic Behavior, Elsevier, vol. 40(1), pages 77-98, July.
    6. Weibull, Jörgen W., 1997. "What have we learned from Evolutionary Game Theory so far?," Working Paper Series 487, Research Institute of Industrial Economics, revised 26 Oct 1998.
    7. Ivan Anic & Vladimir Bozin & Branko Uroševic, 2016. "A Signaling Model of University Selection," CESifo Working Paper Series 5741, CESifo Group Munich.
    8. Tom Wilkening, 2009. "The Informational Properties of Institutions: An Experimental Study of Persistence in Markets with Certification," Department of Economics - Working Papers Series 1087, The University of Melbourne.
    9. Friedman, Daniel & Singh, Nirvikar, 2009. "Equilibrium vengeance," Games and Economic Behavior, Elsevier, vol. 66(2), pages 813-829, July.
    10. Andriy Zapechelnyuk & Ro'i Zultan, 2008. "Job Market Signaling and Job Search," Discussion Paper Series dp488, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    11. Hedlund, Jonas, 2017. "Bayesian persuasion by a privately informed sender," Journal of Economic Theory, Elsevier, vol. 167(C), pages 229-268.
    12. Jacobsen, Hans Jorgen & Jensen, Mogens & Sloth, Birgitte, 2001. "Evolutionary Learning in Signalling Games," Games and Economic Behavior, Elsevier, vol. 34(1), pages 34-63, January.
    13. Azomahou, T. & Opolot, D., 2014. "Stability and strategic diffusion in networks," MERIT Working Papers 035, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Andreozzi, Luciano, 2012. "Property rights and investments: An evolutionary approach," Games and Economic Behavior, Elsevier, vol. 74(1), pages 1-11.
    15. De Jaegher, Kris, 2008. "Efficient communication in the electronic mail game," Games and Economic Behavior, Elsevier, vol. 63(2), pages 468-497, July.
    16. Robles, Jack, 2001. "Evolution in Finitely Repeated Coordination Games," Games and Economic Behavior, Elsevier, vol. 34(2), pages 312-330, February.
    17. Troger, Thomas, 2002. "Why Sunk Costs Matter for Bargaining Outcomes: An Evolutionary Approach," Journal of Economic Theory, Elsevier, vol. 102(2), pages 375-402, February.
    18. Werner Güth & Hartmut Kliemt & Georg v. Wangenheim, 2006. "Verstehen, Verständigung, Vertrag - Ökonomik als Geistes-, Natur- und Staatswissenschaft," Papers on Strategic Interaction 2006-12, Max Planck Institute of Economics, Strategic Interaction Group.
    19. Robles, Jack, 1998. "Evolution with Changing Mutation Rates," Journal of Economic Theory, Elsevier, vol. 79(2), pages 207-223, April.
    20. Drew Fudenberg & Kevin He, 2017. "Learning and Type Compatibility in Signaling Games," Papers 1702.01819, arXiv.org, revised Jun 2018.
    21. Alos-Ferrer, Carlos, 2004. "Cournot versus Walras in dynamic oligopolies with memory," International Journal of Industrial Organization, Elsevier, vol. 22(2), pages 193-217, February.
    22. Elliott O. Wagner, 2013. "The Dynamics of Costly Signaling," Games, MDPI, Open Access Journal, vol. 4(2), pages 1-19, April.
    23. Kjell Hausken, 2006. "A General Equilibrium Model of Signaling and Exchange," Levine's Working Paper Archive 618897000000001035, David K. Levine.
    24. Agastya, Murali, 2004. "Stochastic stability in a double auction," Games and Economic Behavior, Elsevier, vol. 48(2), pages 203-222, August.

    More about this item

    Keywords

    GAMES; INFORMATION; GENERAL EQUILIBRIUM;

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • 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

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