Alternation Bias and the Parameterization of Cumulative Prospect Theory
AbstractTwo recently published studies argue that conventional parameterizations of cumulative prospect theory (CPT) fail to resolve the St. Petersburg Paradox. Yet as a descriptive theory CPT is not intended to account for the local representativeness effect, which is known to induce 'alternation bias' on binary iid sequences such as those generated by coin tossing in St. Petersburg gambles. Once alternation bias is controlled for, conventional parameterizations of CPT yield finite certainty equivalents for the St. Petersburg gamble, negating the suggested need for reparameterization. Moreover, the associated willingness to pay estimates fall within the generally accepted empirical range. --
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Volume (Year): (2008)
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St. Petersburg Paradox; Cumulative Prospect Theory; Local Representativeness Effect; Alternation Bias; Law of Small Numbers;
Find related papers by JEL classification:
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
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- Han Bleichrodt & Jose Luis Pinto, 2000. "A Parameter-Free Elicitation of the Probability Weighting Function in Medical Decision Analysis," Management Science, INFORMS, vol. 46(11), pages 1485-1496, November.
- Tversky, Amos & Kahneman, Daniel, 1992. " Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
- Yaari, Menahem E, 1987. "The Dual Theory of Choice under Risk," Econometrica, Econometric Society, vol. 55(1), pages 95-115, January.
- Rabin, Matthew, 2000.
"Inference by Believers in the Law of Small Numbers,"
Department of Economics, Working Paper Series
qt4sw8n41t, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Matthew Rabin, 2002. "Inference By Believers In The Law Of Small Numbers," The Quarterly Journal of Economics, MIT Press, vol. 117(3), pages 775-816, August.
- Matthew Rabin, 2001. "Inference by Believers in the Law of Small Numbers," Method and Hist of Econ Thought 0012002, EconWPA.
- Matthew Rabin., 2000. "Inference by Believers in the Law of Small Numbers," Economics Working Papers E00-282, University of California at Berkeley.
- George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
- Rachel Croson & James Sundali, 2005. "The Gambler’s Fallacy and the Hot Hand: Empirical Data from Casinos," Journal of Risk and Uncertainty, Springer, vol. 30(3), pages 195-209, May.
- Mohammed Abdellaoui & Frank Vossmann & Martin Weber, 2005.
"Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty,"
INFORMS, vol. 51(9), pages 1384-1399, September.
- Abdellaoui, Mohammed & Vossman, Frank & Weber, Martin, 2003. "Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty," CEPR Discussion Papers 3756, C.E.P.R. Discussion Papers.
- Camerer, Colin F & Ho, Teck-Hua, 1994. "Violations of the Betweenness Axiom and Nonlinearity in Probability," Journal of Risk and Uncertainty, Springer, vol. 8(2), pages 167-96, March.
- Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
- Marc Rieger & Mei Wang, 2006. "Cumulative prospect theory and the St. Petersburg paradox," Economic Theory, Springer, vol. 28(3), pages 665-679, 08.
- Kaivanto, Kim & Kroll, Eike Benjamin, 2011.
"Negative recency, randomization device choice, and reduction of compound lotteries,"
Working Paper Series in Economics
22, Karlsruhe Institute of Technology (KIT), Department of Economics and Business Engineering.
- Kaivanto, Kim & Kroll, Eike B., 2012. "Negative recency, randomization device choice, and reduction of compound lotteries," Economics Letters, Elsevier, vol. 115(2), pages 263-267.
- Tibor Neugebauer, 2010. "Moral Impossibility in the Petersburg Paradox : A Literature Survey and Experimental Evidence," LSF Research Working Paper Series 10-14, Luxembourg School of Finance, University of Luxembourg.
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