Nonlinear Decision Weights in Choice Under Uncertainty

Published Online:https://doi.org/10.1287/mnsc.45.1.74

References

  • Birnbaum M. H., McIntosh W. R. Violations of branch independence in choices between gambles. Organ. Behavior and Human Decision Processes (1996) 67:91–110CrossrefGoogle Scholar
  • Camerer C. F., Kagel J. H., Roth A. E. Individual decision making. The Handbook of Experimental Economics (1995) (Princeton University Press, Princeton, NJ) Google Scholar
  • Camerer C. F., Ho Teck-Hua. Violations of the betweenness axiom and nonlinearity in probability. J. Risk and Uncertainty (1994) 8:167–196CrossrefGoogle Scholar
  • Camerer C. F., Weber M. Recent developments in modeling preferences: Uncertainty and ambiguity. J. Risk and Uncertainty (1992) 5:325–370CrossrefGoogle Scholar
  • Ellsberg D. Risk, ambiguity, and the savage axioms. Quart. J. Econom. (1961) 75:643–699CrossrefGoogle Scholar
  • Fox C. R., Rogers B. A., Tversky A. Option traders exhibit subadditive decision weights. J. Risk and Uncertainty (1996) 13:5–17CrossrefGoogle Scholar
  • Fox C. R., Tversky A. Ambiguity aversion and comparative ignorance. Quart. J. Econom. (1995) 110:585–603CrossrefGoogle Scholar
  • Fox C. R., Tversky A. A belief-based account of decision under uncertainty. Management Sci. (1998) 44:879–895LinkGoogle Scholar
  • Gilboa I. Expected utility with purely subjective non-additive probabilities. J. Math. Econom. (1987) 16:65–88CrossrefGoogle Scholar
  • Gonzalez R., Wu G. On the shape of the probability weighting function. Cognitive Psych.In pressGoogle Scholar
  • Heath C., Tversky A. Preference and belief: Ambiguity and competence in choice under uncertainty. J. Risk and Uncertainty (1991) 4:4–28CrossrefGoogle Scholar
  • Hershey J. C., Schoemaker P. J. H. Probability versus certainty equivalence methods in utility measurement: Are they equivalent? Management Sci. (1985) 31:1213–1231LinkGoogle Scholar
  • Howard R. A., Edwards Ward. The cogency of decision analysis. Utility: Theories, Measurement, and Applications (1992) (Kluwer, Norwell, MA) Google Scholar
  • Kahneman D., Tversky A. Prospect theory: An analysis of decision under risk. Econometrica (1979) 47:263–291CrossrefGoogle Scholar
  • Luce R. D., Fishburn P. C. Rank- and sign-dependent linear utility models for finite first-order gambles. J. Risk and Uncertainty (1991) 4:29–59CrossrefGoogle Scholar
  • Prelec D. The probability weighting function. Econometrica (1998) 66:497–527CrossrefGoogle Scholar
  • Quiggin J. A theory of anticipated utility. J. Econom. Behavior Organ. (1982) 3:323–343CrossrefGoogle Scholar
  • Rottenstreich Y., Tversky A. Unpacking, repacking, and anchoring: Advances in support theory. Psych. Rev. (1997) 104:406–415CrossrefGoogle Scholar
  • Savage L. J.The Foundations of Statistics (1954) (Wiley, New York) Google Scholar
  • Schmeidler D. Subjective probability and expected utility without additivity. Econometrica (1989) 57:571–587CrossrefGoogle Scholar
  • Segal U. Some remarks on Quiggin's anticipated utility. J. Econom. Behavior Organ. (1987) 8:145–154CrossrefGoogle Scholar
  • Starmer C., Sugden R. Violations of the independence axiom in common ratio problems: An experimental test of some competing hypotheses. Ann. Oper. Res. (1989) 19:79–101CrossrefGoogle Scholar
  • Tversky A., Fox C. R. Weighing risk and uncertainty. Psych. Rev. (1995) 102:269–283CrossrefGoogle Scholar
  • Tversky A., Kahneman D. Advances in prospect theory: Cumulative representation of uncertainty. J. Risk and Uncertainty (1992) 5:297–323CrossrefGoogle Scholar
  • Tversky A., Koehler D. J. Support theory: A nonextensional representation of subjective probability. Psych. Rev. (1994) 101:547–567CrossrefGoogle Scholar
  • Tversky A., Wakker P. P. Risk attitudes and decision weights. Econometrica (1995) 63:1255–1280CrossrefGoogle Scholar
  • Wakker P. P.Additive Representations of Preferences: A New Foundation of Decision Analysis (1989) (Kluwer, Boston, MA) CrossrefGoogle Scholar
  • Wakker P. P. Preference conditions for convex and concave capacities in choquet expected utility. (1996) . Unpublished paper, University of Leiden Faculty of Medicine, The NetherlandsGoogle Scholar
  • Wakker P. P., Deneffe D. Eliciting Von Neumann-Morgenstern utilities. Management Sci. (1996) 42:1131–1150LinkGoogle Scholar
  • Wu G. An empirical test of ordinal independence. J. Risk and Uncertainty (1994) 9:39–60CrossrefGoogle Scholar
  • Wu G., Gonzalez R. Curvature of the probability weighting function. Management Sci. (1996) 42:1676–1690LinkGoogle Scholar
  • Wu G. Common consequence conditions in decision making under risk. J. Risk and Uncertainty (1998) 16:115–139CrossrefGoogle Scholar
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