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Equilibrium payoffs and proposal ratios in bargaining models

  • Shunsuke HanatoEmail author
Original Paper
  • 33 Downloads

Abstract

We analyze a bargaining model which is a generalization of the model of Rubinstein (Econometrica 50(1):97–109, 1982) from the viewpoint of the process of how a proposer is decided in each period. In our model, a player’s probability to be a proposer depends on the history of proposers and players divide a pie of size 1. We derive a subgame perfect equilibrium (SPE) and analyze how its SPE payoffs are related to the process. In the bilateral model, there is a unique SPE. In the n-player model, although SPE may not be unique, a Markov perfect equilibrium (MPE) similar to the SPE in the bilateral model exists. In the case where the discount factor is sufficiently large, if the ratio of opportunities to be a proposer converges to some value, players divide the pie according to the ratio of this convergent value under these equilibria. This result implies that although our process has less regularity than a Markov process, the same result as in the model that uses a Markov process holds. In addition to these results, we show that the limit of the SPE (or the MPE) payoffs coincides with the asymmetric Nash bargaining solution weighted by the convergent values of the ratio of the opportunities to be a proposer.

Keywords

Non-cooperative bargaining Subgame perfect equilibrium Proposal ratio Limit payoff Asymmetric Nash bargaining solution 

Notes

Acknowledgements

I am grateful to Ryo Kawasaki, two anonymous referees, an anonymous associate editor, and the editor for extremely valuable comments. I am also grateful to Keisuke Bando, Toshiyuki Hirai, Shin Kishimoto, Toshiji Miyakawa, Shigeo Muto, Tadashi Sekiguchi, Satoru Takahashi, and participants at Game Theory Workshop 2017 held at The University of Electro-Communications, The 2017 Spring National Conference of The Operations Research Society of Japan held at Okinawaken Shichouson Jichikaikan, East Asian Game Theory Conference 2017 held at The National University of Singapore, and European Meeting on Game Theory 2018 held at University of Bayreuth for helpful comments and suggestions. This work was supported by JSPS KAKENHI Grant Number JP18J20162.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Industrial Engineering and Economics, School of EngineeringTokyo Institute of TechnologyTokyoJapan

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