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  1. Introduction to the Special Issue in Honor of Peter Wakker.Mohammed Abdellaoui, Han Bleichrodt, Enrico Diecidue & Horst Zank - 2022 - Theory and Decision 92 (3-4):433-444.
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  • On probabilities and loss aversion.Horst Zank - 2010 - Theory and Decision 68 (3):243-261.
    This paper reviews the most common approaches that have been adopted to analyze and describe loss aversion under prospect theory. Subsequently, it is argued that loss aversion is a property of observable choice behavior and two new definitions of loss averse behavior are advocated. Under prospect theory, the new properties hold if the commonly used utility based measures of loss aversion are corrected by a probability based measure of loss aversion and their product exceeds 1. It is shown that prominent (...)
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  • Anxiety and Decision Making with Delayed Resolution of Uncertainty.George Wu - 1999 - Theory and Decision 46 (2):159-199.
    In many real-world gambles, a non-trivial amount of time passes before the uncertainty is resolved but after a choice is made. An individual may have a preference between gambles with identical probability distributions over final outcomes if they differ in the timing of resolution of uncertainty. In this domain, utility consists not only of the consumption of outcomes, but also the psychological utility induced by an unresolved gamble. We term this utility anxiety. Since a reflective decision maker may want to (...)
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  • Piecewise linear rank-dependent utility.Craig S. Webb - 2017 - Theory and Decision 82 (3):403-414.
    Choice under risk is modelled using a piecewise linear version of rank-dependent utility. This model can be considered a continuous version of NEO-expected utility. In a framework of objective probabilities, a preference foundation is given, without requiring a rich structure on the outcome set. The key axiom is called complementary additivity.
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  • On the Composition of Risk Preference and Belief.Peter P. Wakker - 2004 - Psychological Review 111 (1):236-241.
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  • Weighing risk and uncertainty.Amos Tversky & Craig R. Fox - 1995 - Psychological Review 102 (2):269-283.
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  • Interval scalability of rank-dependent utility.Mikhail V. Sokolov - 2011 - Theory and Decision 70 (3):255-282.
    Luce and Narens (Journal of Mathematical Psychology, 29:1–72, 1985) showed that rank-dependent utility (RDU) is the most general interval scale utility model for binary lotteries. It can be easily established that this result cannot be generalized to lotteries with more than two outcomes. This article suggests several additional conditions to ensure RDU as the only utility model with the desired property of interval scalability in the general case. The related axiomatizations of some special cases of RDU of independent interest (the (...)
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  • On games under expected utility with rank dependent probabilities.Klaus Ritzberger - 1996 - Theory and Decision 40 (1):1-27.
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  • Delayed probabilistic risk attitude: a parametric approach.Jinrui Pan, Craig S. Webb & Horst Zank - 2019 - Theory and Decision 87 (2):201-232.
    Experimental studies suggest that individuals exhibit more risk aversion in choices among prospects when the payment and resolution of uncertainty are immediate relative to when it is delayed. This leads to preference reversals that cannot be attributed to discounting. When data suggest that utility is time-independent, probability weighting functions, such as those used to model prospect theory preferences, can accommodate such reversals. We propose a simple descriptive model with a two-parameter probability weighting function where one of these parameters depends on (...)
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  • Optimal Choice in the Face of Risk: Decision Theory Meets Evolution.Samir Okasha - 2011 - Philosophy of Science 78 (1):83-104.
    The problem of how to make optimal choices in the face of risk arises in both economics/decision theory and also evolutionary biology; in the former, ‘optimal’ means utility maximizing, while in the latter it means fitness maximizing. This article explores the links, thematic and formal, between the economic and evolutionary theories of optimal choice in risky situations, with particular reference to the relationship between utility and fitness. It is argued that the link is strongest between evolution and ‘nonexpected’ utility theory, (...)
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  • Uncertainty aversion and aversion to increasing uncertainty.Aldo Montesano & Francesco Giovannoni - 1996 - Theory and Decision 41 (2):133-148.
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  • Composition rules in original and cumulative prospect theory.Richard Gonzalez & George Wu - 2022 - Theory and Decision 92 (3-4):647-675.
    Original and cumulative prospect theory differ in the composition rule used to combine the probability weighting function and the value function. We test the predictive power of these composition rules by performing a novel out-of-sample prediction test. We apply estimates of prospect theory’s weighting and value function obtained from two-outcome cash equivalents, a domain where original and cumulative prospect theory coincide, to three-outcome cash equivalents, a domain where the composition rules of the two theories differ. Although both forms of prospect (...)
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  • The Effects of Beliefs Versus Risk Attitude on Bargaining Outcomes.David L. Dickinson - 2009 - Theory and Decision 66 (1):69-101.
    In bargaining environments with uncertain disagreement or “impasse” outcomes (e.g., litigation or labor strike outcomes), there is an identification problem that confounds data interpretation. Specifically, the minimally acceptable settlement value from a risk-averse (risk-loving) but unbiased-belief bargainer is empirically indistinguishable from what one could get with risk-neutrality and pessimistically (optimistically) biased beliefs. This article reports results from a controlled bargaining experiment where data on both risk attitude and beliefs under uncertainty are generated in order to assess their relative importance in (...)
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  • A parametric analysis of prospect theory’s functionals for the general population.Adam S. Booij, Bernard M. S. van Praag & Gijs van de Kuilen - 2010 - Theory and Decision 68 (1-2):115-148.
    This article presents the results of an experiment that completely measures the utility function and probability weighting function for different positive and negative monetary outcomes, using a representative sample of N = 1,935 from the general public. The results confirm earlier findings in the lab, suggesting that utility is less pronounced than what is found in classical measurements where expected utility is assumed. Utility for losses is found to be convex, consistent with diminishing sensitivity, and the obtained loss-aversion coefficient of (...)
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  • A parametric analysis of prospect theory’s functionals for the general population.Adam Booij, Bernard Praag & Gijs Kuilen - 2010 - Theory and Decision 68 (1-2):115-148.
    This article presents the results of an experiment that completely measures the utility function and probability weighting function for different positive and negative monetary outcomes, using a representative sample of N = 1,935 from the general public. The results confirm earlier findings in the lab, suggesting that utility is less pronounced than what is found in classical measurements where expected utility is assumed. Utility for losses is found to be convex, consistent with diminishing sensitivity, and the obtained loss-aversion coefficient of (...)
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  • New paradoxes of risky decision making.Michael H. Birnbaum - 2008 - Psychological Review 115 (2):463-501.
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  • Do bets reveal beliefs?Jean Baccelli - 2017 - Synthese 194 (9):3393-3419.
    This paper examines the preference-based approach to the identification of beliefs. It focuses on the main problem to which this approach is exposed, namely that of state-dependent utility. First, the problem is illustrated in full detail. Four types of state-dependent utility issues are distinguished. Second, a comprehensive strategy for identifying beliefs under state-dependent utility is presented and discussed. For the problem to be solved following this strategy, however, preferences need to extend beyond choices. We claim that this a necessary feature (...)
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  • Utilitarianism with and without expected utility.David McCarthy, Kalle Mikkola & Joaquin Teruji Thomas - 2020 - Journal of Mathematical Economics 87:77-113.
    We give two social aggregation theorems under conditions of risk, one for constant population cases, the other an extension to variable populations. Intra and interpersonal welfare comparisons are encoded in a single ‘individual preorder’. The theorems give axioms that uniquely determine a social preorder in terms of this individual preorder. The social preorders described by these theorems have features that may be considered characteristic of Harsanyi-style utilitarianism, such as indifference to ex ante and ex post equality. However, the theorems are (...)
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