IDEAS home Printed from https://ideas.repec.org/p/zbw/wzbmbh/spii2019211r.html
   My bibliography  Save this paper

Negotiation under the curse of knowledge

Author

Listed:
  • Pierrot, Thibaud

Abstract

An individual is affected by the curse of knowledge when he fails to appreciate the viewpoint of a lesser-informed agent. In contrast to a rational person, the cursed individual behaves as if part of his private information were common knowledge. This systematic cognitive bias alters many predictions derived from game theory which involve an asymmetry of information between the players. We investigate in this article how the curse of knowledge modifies individual behaviours in negotiation situations. We report the results of a laboratory experiment that was designed to isolate the effect of the curse of knowledge by varying the information available to the players ceteris paribus. Our analysis of the expectations and choices of subjects playing the ultimatum game in different information settings indicates that the curse of knowledge can lead to an increase of impasses in the negotiation and partially explains empirically observed phenomenons such as abnormally high rates of bargaining failures. Unlike previous behavioural research, that is mostly based on motivated beliefs and actions, this work provides a purely nonstrategic explanation for negotiation impasses observed in many real life situations.

Suggested Citation

  • Pierrot, Thibaud, 2019. "Negotiation under the curse of knowledge," Discussion Papers, Research Unit: Market Behavior SP II 2019-211r, WZB Berlin Social Science Center, revised 2019.
  • Handle: RePEc:zbw:wzbmbh:spii2019211r
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/208043/1/ii19-211r.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mitzkewitz, Michael & Nagel, Rosemarie, 1993. "Experimental Results on Ultimatum Games with Incomplete Information," International Journal of Game Theory, Springer;Game Theory Society, vol. 22(2), pages 171-198.
    2. Danz, David, 2014. "The curse of knowledge increases self-selection into competition: Experimental evidence," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100543, Verein für Socialpolitik / German Economic Association.
    3. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 817-868.
    4. Rapoport, Amnon & Sundali, James A, 1996. "Ultimatums in Two-Person Bargaining with One-Sided Uncertainty: Offer Games," International Journal of Game Theory, Springer;Game Theory Society, vol. 25(4), pages 475-494.
    5. George Loewenstein & Don Moore & Roberto Weber, 2006. "Misperceiving the value of information in predicting the performance of others," Experimental Economics, Springer;Economic Science Association, vol. 9(3), pages 281-295, September.
    6. Babcock, Linda, et al, 1995. "Biased Judgments of Fairness in Bargaining," American Economic Review, American Economic Association, vol. 85(5), pages 1337-1343, December.
    7. Boris Maciejovsky & Tarek El-Sehitya & Hans Haumerb & Christian Helmensteinc & Erich Kirchlerd, "undated". "Hindsight Bias and Individual Risk Attitude within the Context of Experimental Asset Markets," Papers on Strategic Interaction 2002-16, Max Planck Institute of Economics, Strategic Interaction Group.
    8. Roth, Alvin E & Murnighan, J Keith, 1982. "The Role of Information in Bargaining: An Experimental Study," Econometrica, Econometric Society, vol. 50(5), pages 1123-1142, September.
    9. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    10. Danz, David & Hüber, Frank & Kübler, Dorothea & Mechtenberg, Lydia & Schmid, Julia, 2013. "'I'll do it by myself as I knew it all along': On the failure of hindsight-biased principals to delegate optimally," Discussion Papers, Research Unit: Market Behavior SP II 2013-203, WZB Berlin Social Science Center.
    11. Kagel, John H. & Kim, Chung & Moser, Donald, 1996. "Fairness in Ultimatum Games with Asymmetric Information and Asymmetric Payoffs," Games and Economic Behavior, Elsevier, vol. 13(1), pages 100-110, March.
    12. Henry S. Farber & Harry C. Katz, 1979. "Interest Arbitration, Outcomes, and the Incentive to Bargain," ILR Review, Cornell University, ILR School, vol. 33(1), pages 55-63, October.
    13. Bruno Biais & Martin Weber, 2009. "Hindsight Bias, Risk Perception, and Investment Performance," Management Science, INFORMS, vol. 55(6), pages 1018-1029, June.
    14. Rapoport, Amnon & Sundali, James A. & Seale, Darryl A., 1996. "Ultimatums in two-person bargaining with one-sided uncertainty: Demand games," Journal of Economic Behavior & Organization, Elsevier, vol. 30(2), pages 173-196, August.
    15. Huck, Steffen, 1999. "Responder behavior in ultimatum offer games with incomplete information," Journal of Economic Psychology, Elsevier, vol. 20(2), pages 183-206, April.
    16. Camerer, Colin & Loewenstein, George & Weber, Martin, 1989. "The Curse of Knowledge in Economic Settings: An Experimental Analysis," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1232-1254, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eva I. Hoppe & Patrick W. Schmitz, 2013. "Contracting under Incomplete Information and Social Preferences: An Experimental Study," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(4), pages 1516-1544.
    2. Ferreira, Mark, 2017. "When knowledge is not power: Asymmetric information, probabilistic deceit detection and threats in ultimatum bargainingAuthor-Name: Chavanne, David," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 4-17.
    3. Hoppe, Eva I. & Schmitz, Patrick W., 2015. "Do sellers offer menus of contracts to separate buyer types? An experimental test of adverse selection theory," Games and Economic Behavior, Elsevier, vol. 89(C), pages 17-33.
    4. Heggedal, Tom-Reiel & Helland, Leif & Våge Knutsen, Magnus, 2022. "The power of outside options in the presence of obstinate types," Games and Economic Behavior, Elsevier, vol. 136(C), pages 454-468.
    5. Besancenot, Damien & Dubart, Delphine & Vranceanu, Radu, 2013. "The value of lies in an ultimatum game with imperfect information," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 239-247.
    6. Alexia Gaudeul, 2013. "Social preferences under uncertainty," Jena Economics Research Papers 2013-024, Friedrich-Schiller-University Jena.
    7. Pamela Schmitt, 2004. "On Perceptions of Fairness: The Role of Valuations, Outside Options, and Information in Ultimatum Bargaining Games," Experimental Economics, Springer;Economic Science Association, vol. 7(1), pages 49-73, February.
    8. Winschel, Evguenia & Zahn, Philipp, 2014. "When ignorance is bliss : information asymmetries enhance prosocial behavior in dicator games," Working Papers 13-07, University of Mannheim, Department of Economics.
    9. Gehrig, Thomas & Guth, Werner & Levati, Vittoria & Levinsky, Rene & Ockenfels, Axel & Uske, Tobias & Weiland, Torsten, 2007. "Buying a pig in a poke: An experimental study of unconditional veto power," Journal of Economic Psychology, Elsevier, vol. 28(6), pages 692-703, December.
    10. Lisa Bruttel & Werner Güth & Juri Nithammer & Andreas Orland, 2022. "Inefficient Cooperation Under Stochastic and Strategic Uncertainty," Journal of Conflict Resolution, Peace Science Society (International), vol. 66(4-5), pages 755-782, May.
    11. Werner Güth & M. Vittoria Levati & Chiara Nardi & Ivan Soraperra, 2014. "An ultimatum game with multidimensional response strategies," Jena Economics Research Papers 2014-018, Friedrich-Schiller-University Jena.
    12. Ellingsen, Tore & Johannesson, Magnus, 2005. "Sunk costs and fairness in incomplete information bargaining," Games and Economic Behavior, Elsevier, vol. 50(2), pages 155-177, February.
    13. Croson, Rachel & Boles, Terry & Murnighan, J. Keith, 2003. "Cheap talk in bargaining experiments: lying and threats in ultimatum games," Journal of Economic Behavior & Organization, Elsevier, vol. 51(2), pages 143-159, June.
    14. Embrey, Matthew & Hyndman, Kyle & Riedl, Arno, 2021. "Bargaining with a residual claimant: An experimental study," Games and Economic Behavior, Elsevier, vol. 126(C), pages 335-354.
    15. Josie I. Chen & Kenju Kamei, 2018. "Disapproval aversion or inflated inequity acceptance? The impact of expressing emotions in ultimatum bargaining," Experimental Economics, Springer;Economic Science Association, vol. 21(4), pages 836-857, December.
    16. Therese Lindahl & Magnus Johannesson, 2009. "Bargaining over a Common Good with Private Information," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(3), pages 547-565, September.
    17. Klempt Charlotte & Pull Kerstin & Stadler Manfred, 2019. "Asymmetric Information in Simple Bargaining Games: An Experimental Study," German Economic Review, De Gruyter, vol. 20(1), pages 29-51, February.
    18. Danz, David, 2020. "Never underestimate your opponent: Hindsight bias causes overplacement and overentry into competition," Games and Economic Behavior, Elsevier, vol. 124(C), pages 588-603.
    19. Nikiforakis, Nikos & Oechssler, Jörg & Shah, Anwar, 2014. "Hierarchy, coercion, and exploitation: An experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 155-168.
    20. Tournadre, Fabienne & Villeval, Marie-Claire, 2004. "Learning from strikes," Labour Economics, Elsevier, vol. 11(2), pages 243-264, April.

    More about this item

    Keywords

    curse of knowledge; hindsight bias; negotiation; experiments;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • 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
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:wzbmbh:spii2019211r. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vawzbde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.