13 research outputs found

    Another Solution for Allais Paradox: Preference Imprecision, Dispersion and Pessimism

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    Although there are alternative models which can explain the Allais paradox with non-standard preferences, they do not take the emerging evidence on preference imprecision into account. The imprecision is so far incorporated into these models by adding a stochastic specification implying the errors that subjects make. However, there is also the inherent part of the preference imprecision which does not diminish with experience provided in repeated experiments and these stochastic specifications cannot explain a significant portion of the observed behavior in experiments. Moreover, evidence on imprecision suggests that subjects exhibit higher imprecision for a lottery with a higher variance. This paper presents a new model for decision under risk which takes into account the findings of the literature. Looking at the indifference curves predicted by the new model, the new model acts like a mixture of Expected Utility Theory and Rank Dependent Utility Theory depending on which part of the probability triangle the lottery is located

    Another Solution for Allais Paradox: Preference Imprecision, Dispersion and Pessimism

    Get PDF
    Although there are alternative models which can explain the Allais paradox with non-standard preferences, they do not take the emerging evidence on preference imprecision into account. The imprecision is so far incorporated into these models by adding a stochastic specification implying the errors that subjects make. However, there is also the inherent part of the preference imprecision which does not diminish with experience provided in repeated experiments and these stochastic specifications cannot explain a significant portion of the observed behavior in experiments. Moreover, evidence on imprecision suggests that subjects exhibit higher imprecision for a lottery with a higher variance. This paper presents a new model for decision under risk which takes into account the findings of the literature. Looking at the indifference curves predicted by the new model, the new model acts like a mixture of Expected Utility Theory and Rank Dependent Utility Theory depending on which part of the probability triangle the lottery is located

    Preference cloud theory

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    This study presents Preference Cloud Theory, a two-step model of decision making under risk. It also includes an experimental study on valuation gap which provides supporting results for the new theory. The new theory provides an explanation for empirically observed anomalies of Expected Utility Theory such as the Allais Paradox, valuation gap, and preference reversals. Central to the theory is the incorporation of preference imprecision, which has support in emerging literature, and challenges to the alternative models for Expected Utility Theory. Preference Cloud Theory assumes that preference imprecision arises because of individuals’ vague understanding of numerical probabilities. The theory combines this concept with the use of the Alpha Model (which builds on Hurwicz’s criterion) and constructs a simple model, helping us to understand various anomalies discovered in the experimental economics literature that standard models could not explain

    Preference Cloud Theory: Imprecise Preferences and Preference Reversals

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    This paper presents a new theory, called Preference Cloud Theory, of decision-making under uncertainty. This new theory provides an explanation for empirically-observed Preference reversals. Central to the theory is the incorporation of preference imprecision which arises because of individuals’ vague understanding of numerical probabilities. We combine this concept with the use of the Alpha model (which builds on Hurwicz’s criterion) and construct a simple model which helps us to understand various anomalies discovered in the experimental economics literature that standard models cannot explain

    Decisions under Risk: Dispersion and Skewness

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    Expected utility theory with imprecise probability perception : explaining preference reversals

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    This article presents a new model for decision-making under risk, which provides an explanation for empirically-observed preference reversals. Central to the theory is the incorporation of probability perception imprecision, which arises because of individuals’ vague understanding of numerical probabilities. We combine this concept with the use of the Alpha EU model and construct a simple model which helps us to understand anomalies, such as preference reversals and valuation gaps, discovered in the experimental economics literature, that standard models cannot explain
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