The Indirect Evolutionary Approach to Explaining Fair Allocations
AbstractExperimental results on the ultimatum game show clearly that (1) large fractions of players offer a 'fair' allocation and (2) that unfair (but positive) offers are systematically rejected. We offer an explanation of this behavior using the 'indirect evolutionary approach' which is based on the assumption that players behave rationally for given preferences but that their preferences change through an evolutionary process. We prove that despite anonymous interaction a preference for punishing unfair offers is an evolutionarily successful strategy if players interact in small groups. This leads players to split the resource equally almost always. However, the equal split is not due to 'true fairness' (or 'altruism') but is entirely caused by the (justified) fear that unfair offers might be rejected.
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Bibliographic InfoPaper provided by EconWPA in its series Game Theory and Information with number 9507001.
Date of creation: 31 Jul 1995
Date of revision: 27 Aug 1998
Note: This is the final version forthcoming in "Games and Economic Behavior"
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evolutionary game theory; ultimatum game; punishment.;
Other versions of this item:
- Huck, Steffen & Oechssler, Jorg, 1999. "The Indirect Evolutionary Approach to Explaining Fair Allocations," Games and Economic Behavior, Elsevier, vol. 28(1), pages 13-24, July.
- S. Huck & J. Oechssler, 1996. "The Indirect Evolutionary Approach To Explaining Fair Allocations," SFB 373 Discussion Papers 1996,13, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
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