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Embedded Nash Bargaining: Risk Aversion and Impatience

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  • Steven A. Lippman

    (Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095)

  • Kevin F. McCardle

    (Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095)

Abstract

In telling the tale of, and analyzing the decisions made by, an heir claimant to a large fortune, Lippman and McCardle (2004) introduce embedded Nash bargaining , an approach to modeling joint decision making. They embed several bargaining games in a joint decision tree and calculate the expected payoffs to the two sides if the Nash bargaining solution is used to generate the intermediate payoffs from bargaining. The purpose of the current paper is to provide theoretical underpinnings for that approach: we establish some general results regarding the existence, uniqueness, and comparative statics (with respect to costs, risk aversion, and time discounting) of the embedded Nash bargaining solution. In particular, when the disagreement payoff is random, we show that a decision maker's embedded Nash bargaining payoff decreases with both his risk aversion and impatience, and it increases with his opponent's risk aversion and impatience.

Suggested Citation

  • Steven A. Lippman & Kevin F. McCardle, 2012. "Embedded Nash Bargaining: Risk Aversion and Impatience," Decision Analysis, INFORMS, vol. 9(1), pages 31-40, March.
  • Handle: RePEc:inm:ordeca:v:9:y:2012:i:1:p:31-40
    DOI: 10.1287/deca.1110.0224
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    References listed on IDEAS

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    Cited by:

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    3. L. Robin Keller, 2012. "From the Editor---Decisions over Time (Exploding Offers or Purchase Regret), in Game Settings (Embedded Nash Bargaining or Adversarial Games), and in Influence Diagrams," Decision Analysis, INFORMS, vol. 9(1), pages 1-5, March.
    4. Jackson, Canek & Pascual, Rodrigo, 2021. "Joint pricing and maintenance strategies in availability-based product-service systems under different overhaul conditions," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
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    6. David Rios Insua & David Banks & Jesus Rios, 2016. "Modeling Opponents in Adversarial Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 36(4), pages 742-755, April.
    7. Ríos Insua, David & Ruggeri, Fabrizio & Soyer, Refik & Rasines, Daniel G., 2018. "Adversarial issues in reliability," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1113-1119.

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