Published February 25, 2010 | Version Supplemental Material
Journal Article Open

Neural evidence for inequality-averse social preferences

  • 1. ROR icon Rutgers, The State University of New Jersey
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Trinity College Dublin

Abstract

A popular hypothesis in the social sciences is that humans have social preferences to reduce inequality in outcome distributions because it has a negative impact on their experienced reward. Although there is a large body of behavioural and anthropological evidence consistent with the predictions of these theories, there is no direct neural evidence for the existence of inequality-averse preferences. Such evidence would be especially useful because some behaviours that are consistent with a dislike for unequal outcomes could also be explained by concerns for social image or reciprocity, which do not require a direct aversion towards inequality. Here we use functional MRI to test directly for the existence of inequality-averse social preferences in the human brain. Inequality was created by recruiting pairs of subjects and giving one of them a large monetary endowment. While both subjects evaluated further monetary transfers from the experimenter to themselves and to the other participant, we measured neural responses in the ventral striatum and ventromedial prefrontal cortex, two areas that have been shown to be involved in the valuation of monetary and primary rewards in both social and non-social contexts. Consistent with inequality-averse models of social preferences, we find that activity in these areas was more responsive to transfers to others than to self in the 'high-pay' subject, whereas the activity of the 'low-pay' subject showed the opposite pattern. These results provide direct evidence for the validity of this class of models, and also show that the brain's reward circuitry is sensitive to both advantageous and disadvantageous inequality.

Additional Information

© 2010 Macmillan Publishers Limited. Received 29 June; accepted 22 December 2009. We thank B. Bushong, N. Tetrault, S. Bray, J. Gläscher and R. Lee for their assistance. This work was supported by grants from the US National Science Foundation to J.O.D. (0617174), from the Human Frontiers of Science Program to C.F.C., and from the Gordon and Betty Moore Foundation to J.O.D., A.R., C.F.C. and the Caltech Brain Imaging Center. Author Contributions E.T., A.R., C.F.C. and J.O.D. designed the experiment, E.T. conducted the experiment and analysed the data, and E.T., A.R., C.F.C. and J.O.D. discussed the results and wrote the paper. The authors declare no competing financial interests.

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Additional details

Identifiers

Eprint ID
17741
DOI
10.1038/nature08785
Resolver ID
CaltechAUTHORS:20100315-155441332

Related works

Describes
10.1038/nature08785 (DOI)

Funding

NSF
BCS-0617174
Human Frontier Science Program
Gordon and Betty Moore Foundation
Caltech Brain Imaging Center

Dates

Created
2010-03-17
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Updated
2021-11-08
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