Auswahl der wissenschaftlichen Literatur zum Thema „Expected Utility“

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Zeitschriftenartikel zum Thema "Expected Utility"

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Castagnoli, E., and M. Li Calzi. "Expected utility without utility." Theory and Decision 41, no. 3 (1996): 281–301. http://dx.doi.org/10.1007/bf00136129.

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Zhang, Jiankang. "Subjective ambiguity, expected utility and Choquet expected utility." Economic Theory 20, no. 1 (2002): 159–81. http://dx.doi.org/10.1007/s001990100207.

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Amarante, Massimiliano. "Conditional expected utility." Theory and Decision 83, no. 2 (2017): 175–93. http://dx.doi.org/10.1007/s11238-017-9597-9.

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Blavatskyy, Pavlo. "Expected discounted utility." Theory and Decision 88, no. 2 (2019): 297–313. http://dx.doi.org/10.1007/s11238-019-09718-3.

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La Mura, Pierfrancesco. "Projective expected utility." Journal of Mathematical Psychology 53, no. 5 (2009): 408–14. http://dx.doi.org/10.1016/j.jmp.2009.02.001.

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Robison, Lindon J., Robert S. Shupp, and Robert J. Myers. "Expected utility paradoxes." Journal of Socio-Economics 39, no. 2 (2010): 187–93. http://dx.doi.org/10.1016/j.socec.2009.12.005.

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Gul, Faruk, and Wolfgang Pesendorfer. "Random Expected Utility." Econometrica 74, no. 1 (2006): 121–46. http://dx.doi.org/10.1111/j.1468-0262.2006.00651.x.

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Mathieu-Nicot, Bernadette. "Fuzzy expected utility." Fuzzy Sets and Systems 20, no. 2 (1986): 163–73. http://dx.doi.org/10.1016/0165-0114(86)90075-8.

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Miyamoto, John M., and Peter Wakker. "Multiattribute Utility Theory Without Expected Utility Foundations." Operations Research 44, no. 2 (1996): 313–26. http://dx.doi.org/10.1287/opre.44.2.313.

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Broome, John. "Utilitarianism and Expected Utility." Journal of Philosophy 84, no. 8 (1987): 405. http://dx.doi.org/10.2307/2026999.

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Dissertationen zum Thema "Expected Utility"

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Gee, Max. "Rationality and Expected Utility." Thesis, University of California, Berkeley, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3733384.

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<p> We commonly make a distinction between what we simply tend to do and what we would have done had we undergone an ideal reasoning process &mdash; or, in other words, what we would have done if we were perfectly <i> rational.</i> Formal decision theories, like Expected Utility Theory or Risk-Weighted Expected Utility Theory, have been used to model the considerations that govern rational behavior. </p><p> But questions arise when we try to articulate what this kind of modeling amounts to. Firstly, it is not clear how the components of the formal model correspond to real-world psychological or physical facts that ground judgments about what we ought to do. Secondly, there is a great deal of debate surrounding what an accurate model of rationality would look like. Theorists disagree about how much flexibility a rational agent has in weighing the risk of a loss against the value of potential gains, for example. </p><p> The goal of this project is to provide an interpretation of Expected Utility Theory whereby it explicates or represents the pressure that fundamentally governs how human agents ought to behave. That means both articulating how the components of the formal model correspond to real-world facts, and defending Expected Utility Theory against alternative formal models of rationality. </p>
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Dardanoni, V. "Implications of expected utility maximisation." Thesis, University of York, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383880.

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Birsel, Murat H. "Expected Utility and Intraalliance War." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc504224/.

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Widekind, Sven von. "Evolution of non-expected utility preferences." Berlin Heidelberg Springer, 2007. http://d-nb.info/986059773/04.

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Widekind, Sven von. "Evolution of non-expected utility preferences /." Berlin [u.a.] : Springer, 2008. http://www.gbv.de/dms/bs/toc/547648979.pdf.

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Capser, Shawn Patrick Capser. "Assessing the Value of Information for ComparingMultiple, Dependent Design Alternatives." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1520689318651851.

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Reina, Livia. "From Subjective Expected Utility Theory to Bounded Rationality." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2006. http://nbn-resolving.de/urn:nbn:de:swb:14-1140624885934-50567.

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As mentioned in the introduction, the objective of this work has been to get a more realistic understanding of economic decision making processes by adopting an interdisciplinary approach which takes into consideration at the same time economic and psychological issues. The research in particular has been focused on the psychological concept of categorization, which in the standard economic theory has received until now no attention, and on its implications for decision making. The three experimental studies conducted in this work provide empirical evidence that individuals don not behave according to the perfect rationality and maximization assumptions which underly the SEUT, but rather as bounded rational satisfiers who try to simplify the decision problems they face through the process of categorization. The results of the first experimental study, on bilateral integrative negotiation, show that most of the people categorize a continuum of outcomes in two categories (satisfying/not satisfying), and treat all the options within each category as equivalent. This process of categorization leads the negotiators to make suboptimal agreements and to what I call the ?Zone of Agreement Bias? (ZAB). The experimental study on committees? decision making with logrolling provides evidence of how the categorization of outcomes in satisfying/not satisfying can affect the process of coalition formation in multi-issue decisions. In the first experiment, involving 3-issues and 3-parties decisions under majority rule, the categorization of outcomes leads most of the individuals to form suboptimal coalitions and make Pareto-dominated agreements. The second experiment, aimed at comparing the suboptimizing effect of categorization under majority and unanimity rule, shows that the unanimity rule can lead to a much higher rate of optimal agreements than the majority rule. The third experiment, involving 4-issues and 4-parties decisions provides evidence that the results of experiments 1 and 2 hold even when the level of complexity of the decision problem increases.
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Fennell, John. "An expected utility theory that matches human performance." Thesis, University of Bristol, 2012. http://hdl.handle.net/1983/f1a39859-1cb0-4978-8fcf-d56d0d3fca40.

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Maximising expected utility has long been accepted as a valid model of rational behaviour, however, it "has limited descriptive accuracy sim- ply because, in practice, people do not always behave in the prescribed way. This is considered evidence that either people are not rational, expected utility is not an appropriate characterisation of rationality, or combination of these. This thesis proposes that a modified form of expected utility hypothesis is normative, suggesting how people ought to behave and descriptive of how they actually do behave, provided that: a) most utility has no meaning unless it is in the presence of potential competitors; b) there is uncertainty in the nature of com- petitors; c) statements of probability are associated with uncertainty; d) utility is marginalised over uncertainty, with framing effects pro- viding constraints; and that e) utility is sensitive to risk, which, taken with reward and uncertainty suggests a three dimensional representa- tion. The first part of the thesis investigates the nature of reward in four experiments and proposes that a three dimensional reward struc- ture (reward, risk, and uncertainty) provides a better description of utility than reward alone. It also proposes that the semantic differ- ential, a well researched psychological instrument, is a representation or description of the reward structure. The second part of the thesis provides a mathematical model of a value function and a probabil- ity weighting function, testing them together against extant problem cases for decision making. It is concluded that utility, perhaps more accurately described as advantage in the present case, when construed as three dimensions and the result of a competition, provides a good explanation of many of the problem cases that are documented in the decision making literature.
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Sundgren, David. "Distribution of expected utility in second-order decision analysis." Licentiate thesis, Kista : Data- och systemvetenskap, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4442.

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Tanaka, Hiroyuki. "Essays on Comparative Statics on Non-expected Utility Models." Kyoto University, 2019. http://hdl.handle.net/2433/242455.

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Bücher zum Thema "Expected Utility"

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Quiggin, John. Generalized Expected Utility Theory. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2182-8.

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von Widekind, Sven. Evolution of Non-Expected Utility Preferences. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76845-6.

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Gollier, Christian, and Mark Machina, eds. Non-Expected Utility and Risk Management. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-2440-1.

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Ford, J. L. Lottery designs to discriminate between Shackle's theory, expected utility theory and non-expected utility theories. University of Birmingham, Department of Economics, 1998.

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Green, Edward J. A revealed preference theory for expected utility. Rand Corp., 1989.

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Nielsen, Lars Tyge. The expected utility of portfolios of assets. INSEAD, 1990.

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Nielsen, Lars Tyge. "The expected utility of portfolios of assets". INSEAD, 1986.

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Quiggin, John. Generalized expected utility theory: The rank-dependent model. Kluwer Academic Publishers, 1993.

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Braithwaite, John. Testing an expected utility model of corporate deterrence. American Bar Foundation, 1990.

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Nielsen, Lars Tyge. Portfolio choice and equilibrium with expected-utility preferences. INSEAD, 1992.

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Buchteile zum Thema "Expected Utility"

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Casadesus-Masanell, Ramon. "Expected Utility." In The Palgrave Encyclopedia of Strategic Management. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_412.

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Nau, Robert. "Expected utility." In Arbitrage and Rational Decisions. Chapman and Hall/CRC, 2024. https://doi.org/10.1201/9781003527145-4.

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Casadesus-Masanell, Ramon. "Expected Utility." In The Palgrave Encyclopedia of Strategic Management. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94848-2_412-1.

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Machina, Mark J. "Expected Utility Hypothesis." In Utility and Probability. Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-20568-4_11.

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Levy, Haim. "Expected Utility Theory." In Studies in Risk and Uncertainty. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2840-8_2.

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Gass, Saul I., and Carl M. Harris. "Expected utility theory." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_312.

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Peasgood, Tessa. "Expected Utility Theory." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_962.

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Baron, Jonathan. "Expected utility theory." In Morality and Rational Choice. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-015-8226-1_4.

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Munier, B., and M. Abdellaoui. "Expected Utility Violations." In Progress in Decision, Utility and Risk Theory. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3146-9_14.

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Levy, Haim. "Expected Utility Theory." In Stochastic Dominance. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21708-6_2.

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Konferenzberichte zum Thema "Expected Utility"

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Halpern, Joseph Y., and Evan Piermont. "A Representation Theorem for Causal Decision Making." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/39.

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We show that it is possible to understand and identify a decision maker’s subjective causal judgements by observing her preferences over interventions. Following Pearl [2000, DOI: doi.org/10.1017/S0266466603004109 ], we represent causality using causal models (also called structural equations models), where the world is described by a collection of variables, related by equations. We show that if a preference relation over interventions satisfies certain axioms (related to standard axioms regarding counterfactuals), then we can define (i) a causal model, (ii) a probability capturing the decision-maker’s uncertainty regarding the external factors in the world and (iii) a utility on outcomes such that each intervention is associated with an expected utility and such that intervention A is preferred to B iff the expected utility of A is greater than that of B. In addition, we characterize when the causal model is unique. Thus, our results allow a modeler to test the hypothesis that a decision maker’s preferences are consistent with some causal model and to identify causal judgements from observed behavior.
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Hollander, Orin. "Control of Sodium to Phosphate Ratio in Real Time in a Boiler in the Presence of Additives and Impurities." In CORROSION 1999. NACE International, 1999. https://doi.org/10.5006/c1999-99236.

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Abstract A computer controlled system for controlling the chemistry of boilers operating on coordinated phosphate chemistry is described. The salient features of this system is that it uses a feed forward system to compute the future state of the system, combined with a unique algorithm for precisely controlling both phosphate level and sodium to phosphate molar ratios simultaneously. This addresses problems with existing systems, in which both phosphate and mole ratio may became seriously out of control. In addition, this system corrects the mole ratios to account for all common additives and expected impurities usually associated with high pressure utility boilers.
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Kish, Joseph, Neville Stead, Douglas Singbeil, Fernando Preto, and François Jetté. "Some Aspects of Materials Selection for Condensing Economizers." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08193.

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Abstract The use of a condensing economizer within a biomass combustion system is a potentially attractive heat recovery solution for the pulp and paper industry. Selecting materials from which to construct condensing economizers for installation within utility power boiler units is, however, not trivial considering that aqueous sulphuric acid (H2SO4) condensates are typically formed. The expected corrosiveness of the flue gas condensate derived from pulp and paper biomass fuels is likely higher than that derived from natural gas (lower sulphur and chlorine contents), but lower than that derived from fossil fuels (higher sulphur and chlorine contents). To help guide materials selection, a laboratory corrosion testing program was initiated to evaluate the corrosion resistance of candidate alloys to synthetic acidic flue gas condensates expected to be derived from pulp and paper biomass fuels. The initial work, which is reported here, was focused on evaluating the resistance of carbon steel and stainless steel to dewpoint corrosion in chloride-free aqueous H2SO4 condensates and to stress corrosion cracking in a saturated aqueous ammonium nitrate (NH4NO3) solution.
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Whitecavage, Joseph B. "Coupon Evaluations of Manhole Hardware Metals Considering Corrosive Ions in Electrolyte." In CORROSION 1985. NACE International, 1985. https://doi.org/10.5006/c1985-85374.

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Abstract Coupons of mild steel, stainless steel, cast iron, and zinc were exposed to utility manhole electrolytes that were chemically analyzed. A correlation was made of the metal loss considering corrosive ions present without a galvanic couple and in stagnant water manholes. The electrolytes of these same manholes were analyzed approximately two years ago and a comparison of the variations in concentrations of ions over this time period were also noted; the ion concentrations coincided proportionately with the the degree of road deicing salts applied during the relatively mild past two winters. Consequently, the chloride levels were generally lower in the manholes that were located in heavily salted road areas. As expected, the performance of the stainless steel(304), was the best, with the zinc ranking second; mild steel outperformed cast iron with ranges of approxmately 28% to 158% more cast iron metal loss or an overall average of 72% more for the eleven coupons evaluated; galvanic action on the surface of the cast iron was evident and accounted for the poorer performance. This is a continuing study of hardware corrosion with anticipated treatment of the manhole electrolytes with chemical inhibitors and biocides as a possible, economical, and feasible mitigation measure in stagnant water utility manholes.
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Coleman, K., and D. Gandy. "Alternative Filler Materials for Dissimilar Metal Welds Involving P91 Materials." In AM-EPRI 2007, edited by R. Viswanathan, D. Gandy, and K. Coleman. ASM International, 2007. https://doi.org/10.31399/asm.cp.am-epri-2007p0940.

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Abstract In the late 1980s, the domestic utility industry experienced failures in dissimilar metal welds (DMWs) between low-alloy ferritic tubing and austenitic tubing in superheaters and reheaters. Extensive research by EPRI identified that nickel-based filler metals significantly improved service life compared to 309 SS filler metals. Additionally, optimized joint geometries and increased weld metal reinforcement were found to further enhance durability. A new nickel-based filler metal was developed with thermal expansion properties similar to the low-alloy base metal, along with a low chromium content designed to minimize the carbon-denuded zone. However, this filler metal was never commercialized due to its tendency to microfissure, which resulted in a shorter-than-expected service life. This paper explores further investigations into the microfissuring of this filler metal and examines long-term testing to assess its suitability for high-temperature applications.
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La Mura, Pierfrancesco. "Projective expected utility." In the 11th Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1562814.1562840.

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Bade, Korinna, Eyke Hullermeier, and Andreas Nurnberger. "Hierarchical Classification by Expected Utility Maximization." In Sixth International Conference on Data Mining (ICDM'06). IEEE, 2006. http://dx.doi.org/10.1109/icdm.2006.80.

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Xu, Zhichao, Yi Han, Yongfeng Zhang, and Qingyao Ai. "E-commerce Recommendation with Weighted Expected Utility." In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management. ACM, 2020. http://dx.doi.org/10.1145/3340531.3411993.

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Yilmaz, Emine, Milad Shokouhi, Nick Craswell, and Stephen Robertson. "Expected browsing utility for web search evaluation." In the 19th ACM international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1871437.1871672.

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Bollmann, P., and V. V. Raghavan. "A utility-theoretic analysis of expected search length." In the 11th annual international ACM SIGIR conference. ACM Press, 1988. http://dx.doi.org/10.1145/62437.62457.

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Berichte der Organisationen zum Thema "Expected Utility"

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List, John, and Charles Mason. Are CEOs Expected Utility Maximizers? National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15453.

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Aizenman, Joshua. International Portfolio Diversification with Generalized Expected Utility Preferences. National Bureau of Economic Research, 1997. http://dx.doi.org/10.3386/w5965.

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Benhabib, Jess, Xuewen Liu, and Pengfei Wang. Self-Fulfilling Risk Panics: An Expected Utility Framework. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w28284.

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Apesteguia, Jose, Miguel A. Ballester, and Ángelo Gutiérrez-Daza. Random Discounted Expected Utilit. Banco de México, 2024. http://dx.doi.org/10.36095/banxico/di.2024.03.

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This paper introduces the random discounted expected utility (RDEU) model, which we have developed as a means to deal with heterogeneous risk and time preferences. The RDEU model provides an explicit linkage between preference and choice heterogeneity. We prove it has solid comparative statics, discuss its identification, and demonstrate its computational convenience. Finally, we use two distinct experimental datasets to illustrate the advantages of the RDEU model over common alternatives for estimating heterogeneity in preferences across individuals.
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Brodeen, Ann E., and Douglas H. Frank. Target Prioritization to Optimize Expected Utility for a Simple Battle Scenario. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada242575.

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Giovannini, Alberto, and Philippe Jorion. Time-Series Tests of a Non-Expected-Utility Model of Asset Pricing. National Bureau of Economic Research, 1989. http://dx.doi.org/10.3386/w3195.

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Bhattacharyya, Nalinaksha, and Thomas A. Garrett. Why People Choose Negative Expected Return Assets - An Empirical Examination of a Utility Theoretic Explanation. Federal Reserve Bank of St. Louis, 2006. http://dx.doi.org/10.20955/wp.2006.014.

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Andreoni, James, and Charles Sprenger. Risk Preferences Are Not Time Preferences: Discounted Expected Utility with a Disproportionate Preference for Certainty. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16348.

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Yu, Kam. Measuring the Output and Prices of the Lottery Sector: An Application of Implicit Expected Utility Theory. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14020.

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Kotta, Krishna Sai Varun. Comparing Decision Making Using Expected Utility, Robust Decision Making, and Information-Gap: Application to Capacity Expansion for Airplane Manufacturing. Iowa State University, 2018. http://dx.doi.org/10.31274/cc-20240624-395.

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