The function-space approach to expected utility
Expected utility without utility
... a function of current wealth, several studies have produced ample evidence that in most cases people tend to compute NM-utility functions over changes in wealth rather than on final asset ...the ...
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Measuring wage discrimination according to an expected utility approach
... The empirical analysis for the Italian labour market revealed some interesting findings: 1 female discrimination increases with work experience and we interpreted this as a consequence o[r] ...
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Learning Probabilistic Models: An Expected Utility Maximization Approach
... by expected utility under the model-optimal strategy) by considering models on an efficient frontier (Pareto optimal models), which we define in terms of consistency with the training data and consistency ...
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Expected Utility Theory
... Useful for drawing pictures. É An infinite set of possible prizes, but lotteries are probability distributions with finite support, that is, each lottery assigns probability 1 to some finite set of prizes. This is what ...
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Expected Utility Analysis
... the Utility Function Since the Independence Axiom implies that indifference curves are linear and parallel, one might suspect that a utility function could be found which is linear in the ...
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Optimal tax policy and expected longevity: A mean and variance utility approach
... consumption), or, on the contrary, spend less on health (to favour …rst-period consump- tion). The choice between those two ways to protect oneself against a high volatility of lifetime welfare depends on the speci…c ...
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Combining Expected Utility and Weighted Gini Simpson Index into a Non Expected Utility Device
... real function defined with positive utility values and domain in the simplex of probabilities—is analytically studied, identifying its range with focus on the maxi- mum point, using a Lagrange multiplier ...
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Approximate Expected Utility Rationalization
... Our approach to get a handle on the variance of ε is to think of an agent who mistakes true prices p with perturbed prices ˜ p. If the variance of ε is too large, the agent should not mistake the distribution of p ...
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Expected utility for nonstochastic risk
... i=1 1 A (x i ) (1) for all A ∈ Σ, where 1 A is the indicator of a set A. Equivalently, p n is the frequency distribution of the number of hits in the sets A ∈ Σ of the first n terms of the sequence ¯ x. Since P is a ...
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Utilitarianism with and without expected utility
... 6.7.4. Constant population, no interpersonal comparisons, uncertainty. In Harsanyi’s social aggregation theorem, each individual’s preorder and the social preorder apply to lotteries, understood as probability measures ...
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Optimism and Pessimism with Expected Utility
... the approach that takes the elements of the representation as actual entities in ...the utility function, which can then be combined with the expert’s knowledge about the probabilities associated ...
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Stochastic expected utility theory
... non-expected utility theories typically do not consider stochastic choice patterns (see, however, Machina 1985 , and Hey and Carbone 1995 ...logit function of the difference in their utilities ...
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Expected Utility Asset Allocation
... the expected utility of portfolio return and considers utility a quadratic function of portfolio return, only mean/variance efficient portfolios need be ...y function may provide asset ...
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Directed expected utility networks
... the utility of various levels of educational attainment did appear to sometimes be a function of ...the utility of the costs associated with policies’ implementations appeared to be a func- tion of ...
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Expected Utility in Models with Chaos
... However, when H is not single-valued this method of ranking polices will not work, and it is not clear what one should do since there is more than one equilibrium associated with a particular policy. There are many ways ...
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A Stochastic Expected Utility Theory
... 4. Fit to experimental data The previous section demonstrated that StEUT is able to explain theoretically all major well-known empirical facts. This section explores how StEUT fits the actual empirical data. In the ...
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A Theory of Vague Expected Utility
... our approach can be easily extended to non elemen- tary gambles, we prefer to narrow our applications to this domain because we believe that additional cognitive issues might affect choices over non ele- mentary ...
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Notes on Uncertainty and Expected Utility
... Neumann-Morgenstern utility function is defined over lotteries in which the prizes are n-commodity ...Neumann-Morgenstern utility function ...
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Expected utility for nonstochastic risk
... the space of finitely additive probabilities. This approach to randomness allows to generalize the expected utility theory in order to cover decision problems under nonstochas- tic random ...
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Destination performance: Introducing the utility function in the mean variance space
... of Valenciennes) ABSTRACT Economic characteristics of home countries can cause considerable variations in the tourism demand. For example, the average level of expenditure per tourist varies from one origin to another ...
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