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A Review Essay about Foundations of Neuroeconomic Analysis by Paul Glimcher

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  • Colin F. Camerer

Abstract

Neuroeconomics aims to discover mechanisms of economic decision, and express them mathematically, to predict observed choice. While the contents of neuroeconomic models and evidence are obviously different than in traditional economics, (some of the) goals are identical: to explain and predict choice, the effects of comparative statics, and perhaps make interesting new welfare judgments that are defensible. To this end, Paul Glimcher's important book carefully describes how economics, psychological, and neural levels of explanation can be linked (a structure which has been successful in visual neuroscience). As Glimcher shows, the neural evidence is quite strong for a process of learning valuations through prediction error, and a simple model of neural valuation and comparison that corresponds to random utility (though subject to normalization, which produces menu effects). There is also rapidly growing evidence for more complicated constructs in behavioral economics, including prospect theory's account of risky choice, hyperbolic time discounting, level-k models of games, and social preferences corresponding to internal reward based on what happens to other agents.

Suggested Citation

  • 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 1155-1182, December.
    • Handle: RePEc:aea:jeclit:v:51:y:2013:i:4:p:1155-82
    Note: DOI: 10.1257/jel.51.4.1155
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    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/jel.51.4.1155
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    References listed on IDEAS

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    1. M. Keith Chen & Venkat Lakshminarayanan & Laurie R. Santos, 2006. "How Basic Are Behavioral Biases? Evidence from Capuchin Monkey Trading Behavior," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 517-537, June.
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    3. Luigino Bruni & Robert Sugden, 2007. "The road not taken: how psychology was removed from economics, and how it might be brought back," Economic Journal, Royal Economic Society, vol. 117(516), pages 146-173, January.
    4. B. Douglas Bernheim, 2009. "On the Potential of Neuroeconomics: A Critical (but Hopeful) Appraisal," American Economic Journal: Microeconomics, American Economic Association, vol. 1(2), pages 1-41, August.
    5. Vincent P. Crawford & Miguel A. Costa-Gomes & Nagore Iriberri, 2013. "Structural Models of Nonequilibrium Strategic Thinking: Theory, Evidence, and Applications," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 5-62, March.
    6. David Colander, 2007. "Edgeworth's Hedonimeter and the Quest to Measure Utility," Middlebury College Working Paper Series 0723, Middlebury College, Department of Economics.
    7. Andrew Caplin & Mark Dean & Paul W. Glimcher & Robb B. Rutledge, 2010. "Measuring Beliefs and Rewards: A Neuroeconomic Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 923-960.
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    Cited by:

    1. Ahmet Ak & Oner Gumus, 2019. "The Possible Effects of Personal Income Tax and Value Added Tax on Consumer Behaviors," Papers 1910.03141, arXiv.org.

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    More about this item

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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