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Science
Article . 2009 . Peer-reviewed
Data sources: Crossref
Science
Article . 2009
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Using Neural Measures of Economic Value to Solve the Public Goods Free-Rider Problem

Authors: Krajbich, Ian; Camerer, Colin; Ledyard, John; Rangel, Antonio;

Using Neural Measures of Economic Value to Solve the Public Goods Free-Rider Problem

Abstract

Observing Unrevealed Preferences Ideally, it would be possible to design a system of incentives for the production and allocation of public goods with the following properties: (i) it would be budget-balanced; (ii) people would participate willingly because they would not be made worse off by doing so; (iii) it would be easy for each participant to find his or her optimal strategy; and (iv) the equilibrium solution would yield the optimal production of the public good. Sadly, this set of conditions cannot be satisfied simultaneously because it requires that self-interested individuals reveal voluntarily and truthfully how much they value the public good. Krajbich et al. (p. 596 , published online 10 September) ask whether a neuroimaging measurement can be used to circumvent this reliance on observed behavior by decoding individual valuations. A decoding accuracy of 55% would be sufficient, and, in a laboratory experiment, an optimal provision of public goods was indeed achieved.

Country
United States
Related Organizations
Keywords

Adult, Male, Motivation, 330, Social Values, Economics, Decision Making, Brain, Truth Disclosure, Magnetic Resonance Imaging, Group Processes, Costs and Cost Analysis, Humans, Female, Social Behavior

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 10%
Top 10%
Top 10%
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