Solving Daniel Bernoulli's St Petersburg Paradox: The Paradox which is not and never was
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References listed on IDEAS
- Shapley, Lloyd S., 1977. "The St. Petersburg paradox: A con games?," Journal of Economic Theory, Elsevier, vol. 14(2), pages 439-442, April.
- Samuelson, Paul A, 1977. "St. Petersburg Paradoxes: Defanged, Dissected, and Historically Described," Journal of Economic Literature, American Economic Association, vol. 15(1), pages 24-55, March.
- Matthew Rabin & Richard H. Thaler, 2001. "Anomalies: Risk Aversion," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 219-232, Winter.
- Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
- Brito, D. L., 1975. "Becker's theory of the allocation of time and the St. Petersburg Paradox," Journal of Economic Theory, Elsevier, vol. 10(1), pages 123-126, February.
- Epps, Thomas W, 1978. "Financial Risk and the St. Petersburg Paradox: Comment," Journal of Finance, American Finance Association, vol. 33(5), pages 1455-1456, December.
- Machina, Mark J, 1987. "Choice under Uncertainty: Problems Solved and Unsolved," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 121-154, Summer.
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- Vivian, Robert William, 2008. "Considering the Harmonic Sequence "Paradox"," MPRA Paper 21216, University Library of Munich, Germany.
- Benjamin Y. Hayden & Michael L. Platt, 2009. "The mean, the median, and the St. Petersburg paradox," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(4), pages 256-272, June.
- Vivian, Robert William, 2006. "Considering the Pasadena "Paradox"," MPRA Paper 5232, University Library of Munich, Germany, revised Jun 2006.
More about this item
KeywordsSt Petersburg paradox; St Petersburg game; expected utility; decision theory;
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
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