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Bargaining with a Residual Claimant: An Experimental Study

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  • Matthew Embrey
  • Kyle Hyndman
  • Arno Riedl

Abstract

We experimentally investigate a bargaining environment in which players negotiate over a fixed payment to one player, while the other player receives the residual from a random pie realization after subtracting the fixed payment. Contrary to the intuition that risk exposure is detrimental, we show that residual claimants are able to extract a risk premium, which is increasing in risk exposure. In some cases the premium is so high that it is advantageous to bargain over a risky pie rather than a risk-less pie. Contrary to theory, the comparatively less risk adverse residual claimants benefit the most. Moreover, bargaining frictions increase as risk increases, and we document more frequent disagreements as risk increases. When given the chance to choose a less or more risky distribution over which to bargain, residual claimants tend to choose the more risky distribution only when there is the possibility of an equal-split ex-post. Our results suggest that theoretical bargaining models require some separation between the determinants of bargaining power and fair compensation for risk exposure.

Suggested Citation

  • Matthew Embrey & Kyle Hyndman & Arno Riedl, 2014. "Bargaining with a Residual Claimant: An Experimental Study," CESifo Working Paper Series 5087, CESifo.
  • Handle: RePEc:ces:ceswps:_5087
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    Cited by:

    1. Hyndman, Kyle, 2023. "Dynamic fairness in repeated bargaining with risk," Journal of Economic Psychology, Elsevier, vol. 94(C).
    2. Olivier Bochet & Manshu Khanna & Simon Siegenthaler, 2021. "Beyond the Dividing Pie: Multi-Issue Bargaining in the Laboratory," Working Papers 20210070, New York University Abu Dhabi, Department of Social Science, revised Sep 2021.
    3. Oechssler, Jörg & Roomets, Alex, 2023. "Dissolving an ambiguous partnership," Working Papers 0733, University of Heidelberg, Department of Economics.
    4. 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.
    5. 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.
    6. Hyndman, Kyle, 2021. "Dissolving partnerships under risk: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 702-720.
    7. 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.
    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. 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.
    10. Emin Karagözoglu & Martin G. Kocher, 2015. "Bargaining under Time Pressure," CESifo Working Paper Series 5685, CESifo.

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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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