Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-22T19:39:45.436Z Has data issue: false hasContentIssue false

NEUROECONOMICS: A REJOINDER

Published online by Cambridge University Press:  01 November 2008

Glenn W. Harrison*
Affiliation:
University of Central Florida
*
*Department of Economics, College of Business Administration, University of Central Florida, USA, and Durham Business School, Durham University, UK (part-time). Email: [email protected].

Extract

Nobody in this debate questions the point that neuroeconomics remains full of potential, and little else as yet. If so, that really is progress of sorts. I was getting afraid that we would have to open nominations for the Captain Ahab Award for obsessive work on the promotion of neuroeconomics.

Type
Essay
Copyright
Copyright © Cambridge University Press 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Camerer, C. F. 2008. The potential of neuroeconomics. Economics and Philosophy 24.CrossRefGoogle Scholar
Christoff, K. and Owen, A. M.. 2006. Improving reverse neuroimaging inference: cognitive domain versus cognitive complexity. Trends in Cognitive Science 10: 352–3.CrossRefGoogle ScholarPubMed
Clark, A. 1997. Being there: Putting brain, body and world together again. Cambridge, MA: MIT Press.Google Scholar
Clark, H. H. 1996. Using language. New York: Cambridge University Press.CrossRefGoogle Scholar
Davies, J. D. 1955. Phrenology: Fad and science. New Haven: Yale University Press.Google Scholar
D'Esposito, M., Ballard, D., Aguirre, G. K. and Zarahn, E.. 1998. Human prefrontal cortex is not specific for working memory: a functional MRI study. NeuroImage 8: 274–82.CrossRefGoogle Scholar
Dickhaut, J., McCabe, K., Nagode, J. C., Rustichini, A., Smith, K. and Pardo, J. V.. 2003. The impact of the certainty context on the process of choice. Proceedings of the National Academy of Sciences 100: 3536–41.CrossRefGoogle Scholar
El-Hai, J. 2005. The lobotomist. Hoboken, NJ: Wiley.Google Scholar
Fox, P. T., Laird, A. R., Fox, S. P., Fox, P. M., Uecker, A. M., Crank, M., Koenig, S. F., and Lancaster, J. L.. 2005. BrainMap taxonomy of experimental design: description and evaluation. Human Brain Mapping 25: 185–98.CrossRefGoogle Scholar
Glimcher, P. W. 2003. Decisions, uncertainty, and the brain: The science of neuroeconomics. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Greene, J. D., Sommerville, R. B., Nystrom, L. E., Darley, J. M., and Cohen, J. D.. 2001. An fMRI investigation of emotional engagement in moral judgment. Science 293: 2105–8.CrossRefGoogle ScholarPubMed
Grice, P. 1989. Studies in the way of words. Cambridge, MA: Harvard University Press.Google Scholar
Gul, F. and Pesendorfer, W.. 2008. The case for mindless economics. In Foundations of positive and normative economics, ed. Caplin, A. and Schotter, A.. New York: Oxford University Press.Google Scholar
Hutchins, E. 1995. Cognition in the wild. Cambridge, MA: MIT Press.Google Scholar
Linden, D. J. 2007. The accidental mind. Cambridge, MA: Harvard University Press.Google Scholar
Lohrenz, T., McCabe, K., Camerer, C. F. and Montague, P. R.. 2007. Neural signature of fictive learning signals in a sequential investment task. Proceedings of the National Academy of Sciences 104: 9494–8.CrossRefGoogle Scholar
Marr, D. 1982. Vision: A computational investigation into the human representation and processing of visual information. New York: W.H. Freeman & Company.Google Scholar
McCabe, K. 2008. Neuroeconomics and the Economic Sciences. Economics and Philosophy 24.CrossRefGoogle Scholar
McClure, S. M., Laibson, D. I., Loewenstein, G. and Cohen, J. D.. 2004. Separate neural systems value immediate and delayed monetary rewards. Science 306: 503–7.CrossRefGoogle ScholarPubMed
McClure, S. M., Ericson, K. M., Laibson, D. I., Loewenstein, G. and Cohen, J. D.. 2007. Time discounting for primary rewards. Journal of Neuroscience 27: 5796–804.CrossRefGoogle ScholarPubMed
Nielsen, F. Å., Hansen, L. K. and Balslev, D.. 2004. Mining for associations between text and brain activation in a functional neuroimaging database. NeuroInformatics 2: 369–80.CrossRefGoogle Scholar
Ortmann, A. 2008. Prospecting Neuroeconomics. Economics and Philosophy 24.CrossRefGoogle Scholar
Poldrack, R. A. 2006. Can cognitive processes be inferred from neuroimaging data? Trends in Cognitive Science 10: 5963.CrossRefGoogle ScholarPubMed
Poldrack, R. A. and Wagner, A. D.. 2004. What can neuroimaging tell us about the mind? Insights from prefontal cortex. Current Directions in Psychological Science 13: 177–81.CrossRefGoogle Scholar
Pullum, G. K. 1991. The great Eskimo vocabulary hoax and other irreverant essays on the study of language. Chicago: University of Chicago Press.Google Scholar
Quartz, S. R. 2008. From cognitive science to cognitive neuroscience to neuroeconomics. Economics and Philosophy 24.CrossRefGoogle Scholar
Ross, D. 2005. Economic theory and cognitive science: Microexplanation. Cambridge, MA: MIT Press.Google Scholar
Ross, D. 2008. Two styles of neuroeconomics. Economics and Philosophy 24.CrossRefGoogle Scholar
Rubinstein, A. 2008. Comments on neuroeconomics. Economics and Philosophy 24.CrossRefGoogle Scholar
Schütze, C. T. 1996. The empirical basis of linguistics: Grammaticality judgments and linguistic methodology. Chicago: University of Chicago Press.Google Scholar
Shallice, T. 1988. From neuropsychology to mental structure. New York: Cambridge University Press.CrossRefGoogle Scholar
Solow, R. M. 1961. Note on Uzawa's Two-Sector Model of Economic Growth. Review of Economic Studies 29: 4850.CrossRefGoogle Scholar
Sutton, R. S. and Barto, A. G.. 1998. Reinforcement learning: An introduction. Cambridge, MA: MIT Press.Google Scholar
Tallis, R. 2008. The neuroscience delusion. Times Literary Supplement, April 9.Google Scholar
Uttal, W. R. 2001. The new phrenology: The limits of localizing cognitive processes in the brain. Cambridge, MA: MIT Press.Google Scholar
Van Horn, J. D., Grafton, S. T., Rockmore, D. and Gazzaniga, M. S.. 2004. Sharing neuroimaging studies of human cognition. Nature Neuroscience 7: 473–81.CrossRefGoogle ScholarPubMed
Wilcox, N. T. 1993. Lottery choice: Incentives, complexity, and decision time. Economic Journal 103: 1397–417.CrossRefGoogle Scholar
Wilcox, N. T. 2006. Theories of learning in games and heterogeneity bias. Econometrica 74: 1271–92.CrossRefGoogle Scholar
Wilcox, N. T. 2008. Against simplicity and cognitive individualism. Economics and Philosophy 24.CrossRefGoogle Scholar