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Psychological frameworks augment even classical decision theories
Published online by Cambridge University Press: 08 May 2023
Abstract
Johnson, Bilovich, and Tuckett set out a helpful framework for thinking about how humans make decisions under radical uncertainty and contrast this with classical decision theory. We show that classical theories assume so little about psychology that they are not necessarily in conflict with this approach, broadening its appeal.
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- Copyright © The Author(s), 2023. Published by Cambridge University Press
References
Anscombe, F. J., & Aumann, R. J. (1963). A definition of subjective probability. The Annals of Mathematical Statistics, 34(1), 199–205.CrossRefGoogle Scholar
Aumann, R. J. (1962). Utility theory without the completeness axiom. Econometrica, 30(3), 445–462. doi: 10.2307/1909888CrossRefGoogle Scholar
Ford, M. C., & Kay, J. A. (2022). Psychology is fundamental: The limitations of growth-optimal approaches to decision making under uncertainty. Retrieved from https://dx.doi.org/10.2139/ssrn.4140625CrossRefGoogle Scholar
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–292. doi: 10.2307/1914185CrossRefGoogle Scholar
Kay, J. A., & King, M. A. (2020). Radical uncertainty: Decision-making for an unknowable future. The Bridge Street Press.Google Scholar
Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. doi: 10.2307/2975974Google Scholar
Pfanzagl, J. (1967). Subjective probability derived from the Morgenstern-von Neumann utility concept. In Shubik, M. (Ed.), Essays in mathematical economics in honor of Oskar Morgenstern (pp. 237–251). Princeton University Press.CrossRefGoogle Scholar
Schmeidler, D. (1989). Subjective probability and expected utility without additivity. Econometrica, 57(3), 571–587. doi: 10.2307/1911053CrossRefGoogle Scholar
Tversky, A., & Kahneman, D. (1974) Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131.CrossRefGoogle ScholarPubMed
von Neumann, J., & Morgenstern, O. (1953). The theory of games and economic behavior (3rd ed.). Princeton University Press.Google Scholar
Wald, A. (1945). Statistical decision functions which minimize the maximum risk. Annals of Mathematics, 46(2), 265–280. doi: 10.2307/1969022CrossRefGoogle Scholar
Target article
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Author response
Narratives, probabilities, and the currency of thought