Abstract
This paper focuses on the problem of probability weighting in the evaluation of lotteries. According to Prospect Theory a probability of 0.5 has a weight of smaller than 0.5. We conduct an EEG experiment in which we compare the results of the evaluation of binary lotteries by certainty equivalents with the results of the bisection method. The bisection method gives the amount of money that corresponds to the midpoint of the utilities of the two payoffs in a binary lottery as it has been shown previously. In this method probabilities are not evaluated. We analyzed EEG data focused on whether a probability is evaluated or not. Our data show differences between the two methods connected with the attention towards sure monetary payoffs, but they do not show brain activity connected with a devaluation of the probability of 0.5.
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References
Kahneman, D., Tversky, A.: Prospect Theory: An Analysis of Decision under Risk. Econometrica 47(2), 263–291 (1979)
Tversky, A., Kahneman, D.: Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty 5(4), 297–323 (1992)
Heldmann, M., Münte, T.F., Vogt, B.: Relevance without profit: Electrophysiological correlates of two economic methods for defining the utility function. Working Paper (2008)
Galanter, E.: The Direct Measurement of Utility and Subjective Probability. The American Journal of Psychology 75(2), 208–220 (1962)
Camerer, C.F., Ho, T.-H.: Violations of the betweenness axiom and nonlinearity in probability. Journal of Risk and Uncertainty 8(2), 167–196 (1994)
Tversky, A., Fox, C.: Weighting Risk and Uncertainty. Psychological review 102(2), 269–283 (1995)
Abdellaoui, M.: Parameter-Free Elicitation of Utility and Probability Weighting Functions. Management Science 46(11), 1497–1512 (2000)
Gonzalez, R., Wu, G.: On the Shape of the Probability Weighting Function. Cognitive Psychology 38(1), 129–166 (1999)
Loomes, G., Sugden, R.: Regret Theory: An Alternative Theory of Rational Choice Under Uncertainty. The Economic Journal 92(368), 805–824 (1982)
Bell, D.E.: Disappointment in Decision Making under Uncertainty. Operations Research 33(1), 1–27 (1985)
Albers, W., et al.: Experimental Evidence for Attractions to Chance. German Economic Review 1(2), 113–130 (2000)
Münte, T.F., et al.: Event-related brain potentials in the study of human cognition and neuropsychology. In: Handbook of neuropsychology, vol. 1, pp. 139–236 (2000)
Duncan-Johnson, C.C., Donchin, E.: On quantifying surprise: the variation of event-related potentials with subjective probability. Psychophysiology 14(5), 456–467 (1977)
Johnson, R.: The amplitude of the P300 component of the event-related potential: Review and synthesis. Advances in Psychophysiology 3, 69–137 (1988)
Linden, D.E.: The p300: where in the brain is it produced and what does it tell us? Neuroscientist 11(6), 563–576 (2005)
Polich, J.: Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol. 118(10), 2128–2148 (2007)
Picton, T.W.: The P300 Wave of the Human Event-Related Potential. Journal of Clinical Neurophysiology 9(4), 456 (1992)
Pritchard, W.S.: Psychophysiology of P300. Psychological Bulletin 89(3), 506–540 (1981)
Joyce, C.A., Gorodnitsky, I.F., Kutas, M.: Automatic removal of eye movement and blink artifacts from EEG data using blind component separation. Psychophysiology 41(2), 313–325 (2004)
Goldstein, R.Z., et al.: Compromised sensitivity to monetary reward in current cocaine users: an ERP study. Psychophysiology 45(5), 705–713 (2008)
Wu, Y., Zhou, X.: The P300 and reward valence, magnitude, and expectancy in outcome evaluation. Brain Res. (2009)
Yeung, N., Sanfey, A.G.: Independent coding of reward magnitude and valence in the human brain. J. Neurosci. 24(28), 6258–6264 (2004)
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Morgenstern, R., Heldmann, M., Münte, T., Vogt, B. (2009). Evaluation of Probabilities and Brain Activity - An EEG-Study. In: Zhong, N., Li, K., Lu, S., Chen, L. (eds) Brain Informatics. BI 2009. Lecture Notes in Computer Science(), vol 5819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04954-5_18
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DOI: https://doi.org/10.1007/978-3-642-04954-5_18
Publisher Name: Springer, Berlin, Heidelberg
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