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An Experiment With Ultimatum Bargaining In A Changing Environment

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  • EYAL WINTER
  • SHMUEL ZAMIR

Abstract

We present experimental results on the ultimatum bargaining game which support an evolutionary explanation of subjects’ behaviour in the game. In these experiments subjects interacted with each other and also with virtual players, i.e. computer programs with pre‐specified strategies. Some of these virtual players were designed to play the equitable allocation, while others exhibited behaviour closer to the subgame‐perfect equilibrium, in which the proposer's share is much larger than that of the responder. We have observed significant differences in the behaviour of real subjects depending on the type of “mutants” (virtual players) that were present in their environment.

Suggested Citation

  • Eyal Winter & Shmuel Zamir, 2005. "An Experiment With Ultimatum Bargaining In A Changing Environment," The Japanese Economic Review, Japanese Economic Association, vol. 56(3), pages 363-385, September.
    • Handle: RePEc:bla:jecrev:v:56:y:2005:i:3:p:363-385
    DOI: 10.1111/j.1468-5876.2005.00329.x
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    Cited by:

    1. Shachat, Jason & Swarthout, J. Todd, 2012. "Learning about learning in games through experimental control of strategic interdependence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 383-402.
    2. Jamison, Julian & Karlan, Dean & Schechter, Laura, 2008. "To deceive or not to deceive: The effect of deception on behavior in future laboratory experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 477-488, December.
    3. Gary Bolton & Jordi Brandts & Axel Ockenfels, 1998. "Measuring Motivations for the Reciprocal Responses Observed in a Simple Dilemma Game," Experimental Economics, Springer;Economic Science Association, vol. 1(3), pages 207-219, December.
    4. Gary Bolton, 1998. "Bargaining and Dilemma Games: From Laboratory Data Towards Theoretical Synthesis," Experimental Economics, Springer;Economic Science Association, vol. 1(3), pages 257-281, December.
    5. Jason A Aimone & Daniel Houser, 2011. "Beneficial Betrayal Aversion," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-5, March.
    6. Olivier Armantier, 2006. "Do Wealth Differences Affect Fairness Considerations?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 391-429, May.
    7. Volker Benndorf & Thomas Große Brinkhaus & Ferdinand von Siemens, 2021. "Ultimatum Game Behavior in a Social-Preferences Vacuum Chamber," CESifo Working Paper Series 9280, CESifo.
    8. repec:wyi:journl:002151 is not listed on IDEAS
    9. David Cooper & E. Dutcher, 2011. "The dynamics of responder behavior in ultimatum games: a meta-study," Experimental Economics, Springer;Economic Science Association, vol. 14(4), pages 519-546, November.
    10. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    11. van Damme, Eric & Binmore, Kenneth G. & Roth, Alvin E. & Samuelson, Larry & Winter, Eyal & Bolton, Gary E. & Ockenfels, Axel & Dufwenberg, Martin & Kirchsteiger, Georg & Gneezy, Uri & Kocher, Martin G, 2014. "How Werner Güth's ultimatum game shaped our understanding of social behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 292-318.
    12. Michał Krawczyk, 2013. "Delineating deception in experimental economics: Researchers' and subjects' views," Working Papers 2013-11, Faculty of Economic Sciences, University of Warsaw.
    13. Olivier Armantier, 2001. "Does Wealth Affect Fairness Considerations?," Department of Economics Working Papers 01-05, Stony Brook University, Department of Economics.

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