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Power and Fairness in a Generalized Ultimatum Game

Overview of attention for article published in PLOS ONE, June 2014
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Title
Power and Fairness in a Generalized Ultimatum Game
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0099039
Pubmed ID
Authors

Giovanni Luca Ciampaglia, Sergi Lozano, Dirk Helbing

Abstract

Power is the ability to influence others towards the attainment of specific goals, and it is a fundamental force that shapes behavior at all levels of human existence. Several theories on the nature of power in social life exist, especially in the context of social influence. Yet, in bargaining situations, surprisingly little is known about its role in shaping social preferences. Such preferences are considered to be the main explanation for observed behavior in a wide range of experimental settings. In this work, we set out to understand the role of bargaining power in the stylized environment of a Generalized Ultimatum Game (GUG). We modify the payoff structure of the standard Ultimatum Game (UG) to investigate three situations: two in which the power balance is either against the proposer or against the responder, and a balanced situation. We find that other-regarding preferences, as measured by the amount of money donated by participants, do not change with the amount of power, but power changes the offers and acceptance rates systematically. Notably, unusually high acceptance rates for lower offers were observed. This finding suggests that social preferences may be invariant to the balance of power and confirms that the role of power on human behavior deserves more attention.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Portugal 1 2%
China 1 2%
Australia 1 2%
Unknown 51 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Student > Master 9 16%
Student > Bachelor 8 15%
Researcher 5 9%
Student > Doctoral Student 3 5%
Other 9 16%
Unknown 9 16%
Readers by discipline Count As %
Psychology 14 25%
Social Sciences 7 13%
Business, Management and Accounting 5 9%
Computer Science 3 5%
Engineering 3 5%
Other 10 18%
Unknown 13 24%