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Bargaining with a Residual Claimant: An Experimental Study

Author

Listed:
  • Matthew Embrey

    (Department of Economics, University of Sussex, Brighton, UK)

  • Kyle Hyndman

    (Naveen Jindal School of Management, University of Texas at Dallas, USA)

  • Arno Riedl

    (Department of Economics, Maastricht University, The Netherlands)

Abstract
Most negotiations involve risks that are only resolved ex-post and often these risks are not incurred equally by the parties involved. We experimentally investigate bargaining situations where a residual claimant is exposed to ex-post risk, whereas a fixedpayoff player is not. We find that residual claimants extract a risk premium, which increases in risk exposure and that this premium is sometimes high enough to make it beneficial to bargain over a risky rather than a risk-less pie. In contrast to predictions of a benchmark model, it is the comparatively less risk averse residual claimants who benefit the most and this is driven by fixed-payoff player's adoption of weak bargaining strategies when the pie is risky. It is also the less risk averse who, when given the choice, choose to bargain over a riskier distribution. We also show that as risk increases, conflict about what constitutes a fair compensation for risk exposure is enhanced, which increases bargaining frictions.

Suggested Citation

  • Matthew Embrey & Kyle Hyndman & Arno Riedl, 2019. "Bargaining with a Residual Claimant: An Experimental Study," Working Paper Series 0419, Department of Economics, University of Sussex Business School.
    • Handle: RePEc:sus:susewp:0419
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    References listed on IDEAS

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    2. Oechssler, Jörg & Roomets, Alex, 2023. "Dissolving an ambiguous partnership," Working Papers 0733, University of Heidelberg, Department of Economics.
    3. Timo Heinrich & Thomas Mayrhofer, 2018. "Higher-order risk preferences in social settings," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 434-456, June.
    4. Emin Karagözoglu & Martin G. Kocher, 2015. "Bargaining under Time Pressure," CESifo Working Paper Series 5685, CESifo.
    5. Hyndman, Kyle, 2021. "Dissolving partnerships under risk: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 702-720.
    6. Colin F. Camerer & Gideon Nave & Alec Smith, 2019. "Dynamic Unstructured Bargaining with Private Information: Theory, Experiment, and Outcome Prediction via Machine Learning," Management Science, INFORMS, vol. 65(4), pages 1867-1890, April.
    7. Hyndman, Kyle, 2023. "Dynamic fairness in repeated bargaining with risk," Journal of Economic Psychology, Elsevier, vol. 94(C).
    8. Bolton, Gary E. & Karagözoğlu, Emin, 2016. "On the influence of hard leverage in a soft leverage bargaining game: The importance of credible claims," Games and Economic Behavior, Elsevier, vol. 99(C), pages 164-179.
    9. Trautmann, Stefan T. & Kuilen, Gijs van de, 2018. "Higher order risk attitudes: A review of experimental evidence," European Economic Review, Elsevier, vol. 103(C), pages 108-124.
    10. Bendoly, Elliot & van Wezel, Wout & Bachrach, Daniel G. (ed.), 2015. "The Handbook of Behavioral Operations Management: Social and Psychological Dynamics in Production and Service Settings," OUP Catalogue, Oxford University Press, number 9780199357222.

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    More about this item

    Keywords

    Bargaining; Ex-post Risk; Reference Points;
    All these keywords.

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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