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  1. A revealed preference analysis of solutions to simple allocation problems.Özgür Kıbrıs - 2012 - Theory and Decision 72 (4):509-523.
    We interpret solution rules on a class of simple allocation problems as data on the choices of a policy maker. We analyze conditions under which the policy maker’s choices are (i) rational (ii) transitive-rational, and (iii) representable; that is, they coincide with maximization of a (i) binary relation, (ii) transitive binary relation, and (iii) numerical function on the allocation space. Our main results are as follows: (i) a well-known property, contraction independence (a.k.a. IIA) is equivalent to rationality; (ii) every contraction (...)
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  • Context dependence and consistency in dynamic choice under uncertainty: the case of anticipated regret. [REVIEW]Takashi Hayashi - 2011 - Theory and Decision 70 (4):399-430.
    We examine if and to what extent choice dispositions can allow dependence on contexts and maintain consistency over time, in a dynamic environment under uncertainty. We focus on one of the context dependence properties, opportunity dependence because of being affected by anticipated regret, where the consequentialist choice framework is maintained. There are two sources of potential inconsistency: one is arrival of information, and the other is changing opportunities. First, we go over the general method of resolution of potential inconsistency, by (...)
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  • Fast and frugal heuristics: rationality and the limits of naturalism.Horacio Arló-Costa & Arthur Paul Pedersen - 2013 - Synthese 190 (5):831-850.
    Gerd Gigerenzer and Thomas Sturm have recently proposed a modest form of what they describe as a normative, ecological and limited naturalism. The basic move in their argument is to infer that certain heuristics we tend to use should be used in the right ecological setting. To address this argument, we first consider the case of a concrete heuristic called Take the Best (TTB). There are at least two variants of the heuristic which we study by making explicit the choice (...)
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  • Some thoughts on the principle of revealed preference.Ariel Rubinstein - manuscript
    (2) Mental preferences: These describe the mental attitude of an individual toward the objects. They can be defined in contexts which do not involve actual choice. In particular, preferences can describe tastes (such as a preference for one season over another) or can refer to situations which are only hypothetical (such as the possible courses of action available to an individual were he to become Emperor of Rome) or which the individual does not fully control (such as a game situation (...)
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  • Akrasia, instincts and revealed preferences.Alvaro Sandroni - 2011 - Synthese 181 (S1):1 - 17.
    The standard economic theory of choice is extended to accommodate a particular form of akratic choice. The empirical content of the new theory is fully characterized. A characterization of revealed akratic choice, in terms of observable choice only, is also provided. These results are consistent with the viewpoint that akrasia is a concept that can be empirically substantiated.
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  • Evaluating opportunities when more is less.Yukinori Iwata - 2023 - Theory and Decision 95 (1):109-130.
    There exists psychological evidence that consumers do not consider all available items in the market, which can lead to the “more-is-less” effect, a phenomenon where having more options causes a welfare reduction (Llears et al. in J Econ Theory 170:70–85, 2017). Under this more-is-less effect, we face a dilemma that adding new opportunities may both improve and worsen individual well-being. This study proposes a hypothesis that “more is always better,” which implies that adding new opportunities cannot worsen individual well-being, is (...)
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  • This or that? Sequential rationalization of indecisive choice behavior.Jesper Armouti-Hansen & Christopher Kops - 2018 - Theory and Decision 84 (4):507-524.
    Decision-makers frequently struggle to base their choices on an exhaustive evaluation of all options at stake. This is particularly so when the choice problem at hand is complex, because the available alternatives are hard to compare. Rather than striving to choose the most valuable alternative, in such situations decision-makers often settle for the choice of an alternative which is not inferior to any other available alternative instead. In this paper, we extend two established models of boundedly rational choice, the categorize (...)
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  • ‘Divide-and-choose’ in list-based decision problems.Dinko Dimitrov, Saptarshi Mukherjee & Nozomu Muto - 2016 - Theory and Decision 81 (1):17-31.
    When encountering a set of alternatives displayed in the form of a list, the decision maker usually determines a particular alternative, after which she stops checking the remaining ones, and chooses an alternative from those observed so far. We present a framework in which both decision problems are explicitly modeled, and axiomatically characterize a ‘divide-and-choose’ rule which unifies successive choice and satisficing choice.
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  • (A, F ) choice with frames.Ariel Rubinstein - manuscript
    We develop a framework for modeling choice in the presence of framing effects. An extended choice function assigns a chosen element to every pair (A, f ) where A is a set of alternatives and f is a frame. A frame includes observable information that is irrelevant in the rational assessment of the alternatives, but nonetheless affects choice. We relate the new framework to the classical model of choice correspondence. Conditions are identified under which there exists either a transitive or (...)
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  • The complexity of shelflisting.Yongjie Yang & Dinko Dimitrov - 2019 - Theory and Decision 86 (1):123-141.
    Optimal shelflisting invites profit maximization to become sensitive to the ways in which purchasing decisions are order-dependent. We study the computational complexity of the corresponding product arrangement problem when consumers are either rational maximizers, use a satisficing procedure, or apply successive choice. The complexity results we report are shown to crucially depend on the size of the top cycle in consumers’ preferences over products and on the direction in which alternatives on the shelf are encountered.
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  • Eliciting Welfare Preferences from Behavioral Datasets.Ariel Rubinstein - unknown
    A behavioral dataset contains various preference orderings displayed by the same individual in different payoff-irrelevant circumstances. We introduce a framework for eliciting the individual’s underlying preferences in such cases, in which it is conjectured that the variation in the observed preference orderings is the outcome of some cognitive process that distorts the underlying preferences. We then demonstrate for two cognitive processes how to elicit the individual’s underlying preferences from behavioral datasets.
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