Measuring Beliefs and Rewards: A Neuroeconomic Approach
AbstractThe neurotransmitter dopamine is central to the emerging discipline of neuroeconomics; it is hypothesized to encode the difference between expected and realized rewards and thereby to mediate belief formation and choice. We develop the first formal tests of this theory of dopaminergic function, based on a recent axiomatization by Caplin and Dean (Quarterly Journal of Economics, 123 (2008), 663-702). These tests are satisfied by neural activity in the nucleus accumbens, an area rich in dopamine receptors. We find evidence for separate positive and negative reward prediction error signals, suggesting that behavioral asymmetries in responses to losses and gains may parallel asymmetries in nucleus accumbens activity. (c) 2010 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology..
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Bibliographic InfoArticle provided by MIT Press in its journal Quarterly Journal of Economics.
Volume (Year): 125 (2010)
Issue (Month): 3 (August)
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Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:CitEc Project, subscribe to its RSS feed for this item.
- Cary Frydman & Nicholas Barberis & Colin Camerer & Peter Bossaerts & Antonio Rangel, 2012. "Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility," NBER Working Papers 18562, National Bureau of Economic Research, Inc.
- Jack Vromen, 2011. "Neuroeconomics: two camps gradually converging: what can economics gain from it?," International Review of Economics, Springer, vol. 58(3), pages 267-285, September.
- Yingyao Hu & Yutaka Kayaba & Matt Shum, 2010.
"Nonparametric Learning Rules from Bandit Experiments: The Eyes have it!,"
Economics Working Paper Archive
560, The Johns Hopkins University,Department of Economics.
- Hu, Yingyao & Kayaba, Yutaka & Shum, Matthew, 2013. "Nonparametric learning rules from bandit experiments: The eyes have it!," Games and Economic Behavior, Elsevier, vol. 81(C), pages 215-231.
- Yingyao Hu & Yutaka Kayaba & Matt Shum, 2010. "Nonparametric learning rules from bandit experiments: the eyes have it!," CeMMAP working papers CWP15/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Colin F. Camerer, 2013. "A Review Essay about Foundations of Neuroeconomic Analysis by Paul Glimcher," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1155-82, December.
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