Quantification of fairness perception by including other-regarding concerns using a relativistic fairness-equity model
DOI:
https://doi.org/10.14738/assrj.14.291Keywords:
Fairness bias, equity, egalitarianism, monetary gain, ultimatum game, decisionAbstract
Using a relativistic fairness-equity model, this study quantifies the fairness perception by a stimulus-response function. Fairness often requires the comparison between two parties in social interactions. The relativistic model of fairness assessment takes into the account of the relativity in the comparison, depending on whether the comparison is based on a self-centered or an other-centered frame of reference. Using the Ultimatum Game (UG) experimental paradigm, fairness perception is quantified by the fairness stimulus-response function, where the y-intercept represents the baseline fairness and the slope represents the fairness sensitivity. UG is a classical behavioral economic task where a sum of money is split between two parties, and the human subjects are asked to accept or reject the share depending on whether they consider the offer as fair or not. The results show that fairness perception is proportional to the offer-ratio between the proposer and the responder using the self-centered frame of reference, with one exception. The exception is that, at absolute equity (equal share between the two parties), the subjects reported the offer as the fairest, even fairer than the most hyper-equitable offers. This suggests that the subjects can switch the frame of reference by not only using a self-centered frame of reference, but also include an other-centered frame of reference in the assessment of fairness. That is, by switching from a local (subjective) frame of reference to a global (objective) frame of reference, the optimization for fairness for both parties can be achieved, resolving the relativistic dilemma that fairness for one person is unfairness for another person. This shows that the relativistic model can describe how fairness perception can be biased relative to the two parties, using a self-centered and an other-centered frame of reference.
References
Brosnan, S.F. and F.B. De Waal, Monkeys reject unequal pay. Nature, 2003. 425(6955): p. 297-299.
Fehr, E. and S. Gächter, Altruistic punishment in humans. Nature, 2002. 415(6868): p. 137-40.
Pillutla, M.M. and J.K. Murnighan, Unfairness, Anger, and Spite: Emotional Rejections of Ultimatum Offers. Org Behav Human Decis Proc, 1996. 68(3): p. 208-224.
Seip, E.C., W.W. van Dijk, and M. Rotteveel, On hotheads and Dirty Harries: the primacy of anger in altruistic punishment. Ann N Y Acad Sci, 2009. 1167: p. 190-196.
Güroğlu, B., et al., Unfair? It depends: neural correlates of fairness in social context. Soc Cogn Affect Neurosci, 2010. 5(4): p. 414-423.
Güroğlu, B., W. van den Bos, and E.A. Crone, Fairness considerations: increasing understanding of intentionality during adolescence. J Exp Child Psychol, 2009. 104(4): p. 398-409.
Rilling, J.K., B. King-Casas, and A.G. Sanfey, The neurobiology of social decision-making. Curr Opin Neurobiol, 2008. 18(2): p. 159-165.
Sanfey, A.G., et al., The neural basis of economic decision-making in the Ultimatum Game. Science, 2003. 300(5626): p. 1755-1758.
Tabibnia, G., A.B. Satpute, and M.D. Lieberman, The sunny side of fairness: preference for fairness activates reward circuitry (and disregarding unfairness activates self-control circuitry). Psychol Sci, 2008. 19(4): p. 339-347.
Takagishi, H., et al., Neural correlates of the rejection of unfair offers in the impunity game. Neuro Endocrinol Lett, 2009. 30(4): p. 496-500.
Güth, W., R. Schmittberger, and B. Schwarze, An experimental analysis of ultimatum bargaining. J Econ Behav Organization, 1982. 3(4): p. 367–388.
Ochs, J. and A.E. Roth, An experimental study of sequential bargaining. Am Econ Review, 1989. 79(3): p. 355–384.
Rabin, M., Incorporating fairness into game theory and economics. Am Econ Review, 1993. 83(5): p. 1281–1302.
Fehr, E. and K.M. Schmidt, A theory of fairness, competition, and cooperation. Quarterly J Econ, 1999. 114: p. 817–868.
Reuben, E. and F. van Winden, Fairness perceptions and prosocial emotions in the power to take. J Econ Psych, 2010. 31: p. 908–922.
Falk, A., E. Fehr, and U. Fuschbacher, On the nature of fair behavior. Econ Inquiry, 2003. 41(1): p. 20–26.
Konow, J., Which is the fairest one of all? A positive analysis of justice theories. J Econ Lit, 2003. 41: p. 1186–1239.
Rawls, J., A theory of justice1971, Cambridge: Harvard University Press.
Page, K.M. and M.A. Nowak, A generalized adaptive dynamics framework can describe the evolutionary Ultimatum Game. J Theor Biol, 2001. 209(2): p. 173-179.
Braun, D.A., P.A. Ortega, and D.M. Wolpert, Nash equilibria in multi-agent motor interactions. PLoS Comput Biol, 2009. 5(8): p. e1000468.
Killingback, T. and E. Studer, Spatial Ultimatum Games, collaborations and the evolution of fairness. Proc Biol Sci, 2001. 268(1478): p. 1797-1801.
Nowak, M.A., K.M. Page, and K. Sigmund, Fairness versus reason in the ultimatum game. Science, 2000. 289(5485): p. 1773-1775.
Page, K.M., M.A. Nowak, and K. Sigmund, The spatial ultimatum game. Proc Biol Sci, 2000. 267(1458): p. 2177-2182.
Sigmund, K., C. Hauert, and M.A. Nowak, Reward and punishment. Proc Natl Acad Sci U S A, 2001. 98(19): p. 10757-10762.
Duan, W.Q. and H.E. Stanley, Fairness emergence from zero-intelligence agents. Phys Rev E Stat Nonlin Soft Matter Phys, 2010. 81(2 Pt 2): p. 026104.
Li, X. and L. Cao, Largest Laplacian eigenvalue predicts the emergence of costly punishment in the evolutionary ultimatum game on networks. Phys Rev E Stat Nonlin Soft Matter Phys, 2009. 80(6 Pt 2): p. 066101.
Sánchez, A. and J.A. Cuesta, Altruism may arise from individual selection. J Theor Biol, 2005. 235(2): p. 233-40.
Bolton, G.E., A comparative model of bargaining: theory and evidence. Am Econ Rev, 1991. 81: p. 1096–1136.
Tam, D.N., Contributing factors in judgment of fairness by monetary value. BMC Neuroscience, 2011. 12(Suppl 1): p. P329.
Tam, D.N., Quantification of fairness bias by a Fairness-Equity Model. BMC Neuroscience, 2011. 12(Suppl 1): p. P327.
von Neumann, J., O. Morgenstern, and A. Rubinstein, Theory of games and economic behavior1953, Princeton, NJ: Princeton University Press.
Camerer, C., Behavioral game theory: Experiments in strategic interaction2003: Princeton University Press.
Kagel, J.H. and A.E. Roth, The handbook of experimental economics1995: PRINCETON University Press.
Rilling, J.K., et al., The neural correlates of theory of mind within interpersonal interactions. Neuroimage, 2004. 22(4): p. 1694-703.
Komorita, S.S., Attitude content, intensity, and the neutral point on a Likert scale. J Soc Psychol, 1963. 61: p. 327-34.
Tam, N.D., Quantification of fairness bias in relation to decisions using a relativistic fairness-equity model. Advances in Social Sciences Research Journal, submitted.
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