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The Indirect Evolutionary Approach to Explaining Fair Allocations Author info | Abstract | Publisher info | Download info | Related research | Statistics Steffen Huck (Humboldt University, Berlin, oechsler@wiwi.hu-berlin.de)
Joerg Oechssler (Humboldt University, Berlin, oechsler@wiwi.hu-berlin.de)
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Experimental 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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Paper provided by EconWPA in its series Game Theory and Information with number
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Date of creation: 31 Jul 1995Date of revision:
27 Aug 1998Handle: RePEc:wpa:wuwpga:9507001Note: This is the final version forthcoming in "Games and Economic Behavior"Contact details of provider: Web page: http://129.3.20.41
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Keywords: evolutionary game theory ultimatum game punishment. Other versions of this item:
Find related papers by JEL classification: 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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