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A Separation of Utility and Beliefs Through Betting Consistency

Author

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  • Alain J. Chateauneuf

    (Institut de Préparation à l’Administration et à la Gestion (IPAG) Business School, 75015 Paris, France; and Paris School of Economics, Université Paris 1, 75014 Paris, France)

  • Fabio A. Maccheroni

    (Department of Decision Sciences, Università Bocconi, 20136 Milano, Italy)

  • Horst Zank

    (Department of Economics, University of Manchester, Manchester M13 9PL, United Kingdom)

Abstract

For standard preferences under uncertainty, minimal requirements are proposed to identify cardinal utility and subjective, potentially nonadditive, beliefs. This is achieved through an application of betting consistency . This preference principle says that outcome midpoints derived from preferences over bets on an event are also midpoints when elicited from bets on a different event. This consistency requirement provides a simplified elicitation tool, while it also serves as a robustness test for utility measurements. An analyst can use betting consistency to identify a client’s cardinal utility index independent of the client’s beliefs. This follows from our simplified foundation for the biseparable utility model, the widely adopted framework for empirical measurements of utility under various sources of uncertainty. As a theoretical tool, betting consistency can be adopted to provide simple and intuitive foundations for new and for existing decision theories. For instance, an event-dependent version of betting consistency, if it is supplemented with Savage’s sure-thing principle or a version of that principle restricted to acts that satisfy Schmeidler’s comonotonicity property, delivers subjective expected utility or Choquet expected utility, as desired. We also demonstrate how models with specific nonadditive beliefs can easily be derived through bespoke formulations of betting consistency.

Suggested Citation

  • Alain J. Chateauneuf & Fabio A. Maccheroni & Horst Zank, 2026. "A Separation of Utility and Beliefs Through Betting Consistency," Management Science, INFORMS, vol. 72(3), pages 1987-2005, March.
  • Handle: RePEc:inm:ormnsc:v:72:y:2026:i:3:p:1987-2005
    DOI: 10.1287/mnsc.2023.01739
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    as
    1. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    2. Aurelien Baillon & Olivier L'Haridon & Laetitia Placido, 2011. "Ambiguity Models and the Machina Paradoxes," American Economic Review, American Economic Association, vol. 101(4), pages 1547-1560, June.
    3. Chateauneuf, Alain & Wakker, Peter, 1993. "From local to global additive representation," Journal of Mathematical Economics, Elsevier, vol. 22(6), pages 523-545.
    4. Mark J. Machina, 2009. "Risk, Ambiguity, and the Rank-Dependence Axioms," American Economic Review, American Economic Association, vol. 99(1), pages 385-392, March.
    5. Chateauneuf, Alain & Eichberger, Jurgen & Grant, Simon, 2007. "Choice under uncertainty with the best and worst in mind: Neo-additive capacities," Journal of Economic Theory, Elsevier, vol. 137(1), pages 538-567, November.
    6. Gul, Faruk, 1991. "A Theory of Disappointment Aversion," Econometrica, Econometric Society, vol. 59(3), pages 667-686, May.
    7. Paolo Ghirardato & Massimo Marinacci, 2001. "Risk, Ambiguity, and the Separation of Utility and Beliefs," Mathematics of Operations Research, INFORMS, vol. 26(4), pages 864-890, November.
    8. Felix Kubler & Larry Selden & Xiao Wei, 2017. "What Are Asset Demand Tests of Expected Utility Really Testing?," Economic Journal, Royal Economic Society, vol. 0(601), pages 784-808, May.
    9. Mohammed Abdellaoui & Aurelien Baillon & Laetitia Placido & Peter P. Wakker, 2011. "The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation," American Economic Review, American Economic Association, vol. 101(2), pages 695-723, April.
    10. Stefan Trautmann & Peter P. Wakker, 2018. "Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications," Journal of Risk and Uncertainty, Springer, vol. 56(1), pages 83-116, February.
    11. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    12. W. M. Gorman, 1968. "The Structure of Utility Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(4), pages 367-390.
    13. Johann Pfanzag, 1959. "A general theory of measurement applications to utility," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 6(4), pages 283-294, December.
    14. Han Bleichrodt & Jose Luis Pinto, 2000. "A Parameter-Free Elicitation of the Probability Weighting Function in Medical Decision Analysis," Management Science, INFORMS, vol. 46(11), pages 1485-1496, November.
    15. Baillon, Aurélien & Driesen, Bram & Wakker, Peter P., 2012. "Relative concave utility for risk and ambiguity," Games and Economic Behavior, Elsevier, vol. 75(2), pages 481-489.
    16. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    17. George Wu & Richard Gonzalez, 1999. "Nonlinear Decision Weights in Choice Under Uncertainty," Management Science, INFORMS, vol. 45(1), pages 74-85, January.
    18. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    19. Shiri Alon, 2014. "Derivation of a Cardinal Utility Through a Weak Trade-off Consistency Requirement," Mathematics of Operations Research, INFORMS, vol. 39(2), pages 290-300, May.
    20. Han Bleichrodt & Jose Luis Pinto & Peter P. Wakker, 2001. "Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility," Management Science, INFORMS, vol. 47(11), pages 1498-1514, November.
    21. Peter Wakker & Daniel Deneffe, 1996. "Eliciting von Neumann-Morgenstern Utilities When Probabilities Are Distorted or Unknown," Management Science, INFORMS, vol. 42(8), pages 1131-1150, August.
    22. Veronika Köbberling & Peter P. Wakker, 2003. "Preference Foundations for Nonexpected Utility: A Generalized and Simplified Technique," Mathematics of Operations Research, INFORMS, vol. 28(3), pages 395-423, August.
    23. Werner, Jan, 2005. "A simple axiomatization of risk-averse expected utility," Economics Letters, Elsevier, vol. 88(1), pages 73-77, July.
    24. Horst Zank, 2001. "Cumulative Prospect Theory for Parametric and Multiattribute Utilities," Mathematics of Operations Research, INFORMS, vol. 26(1), pages 67-81, February.
    25. Chew Soo Hong & Jacob S. Sagi, 2006. "Event Exchangeability: Probabilistic Sophistication Without Continuity or Monotonicity," Econometrica, Econometric Society, vol. 74(3), pages 771-786, May.
    26. Ulrich Schmidt & Horst Zank, 2022. "Chance theory: A separation of riskless and risky utility," Journal of Risk and Uncertainty, Springer, vol. 65(1), pages 1-32, August.
    27. Mohammed Abdellaoui & Han Bleichrodt & Olivier l'Haridon & Corina Paraschiv, 2013. "Is There One Unifying Concept of Utility?An Experimental Comparison of Utility Under Risk and Utility Over Time," Management Science, INFORMS, vol. 59(9), pages 2153-2169, September.
    28. Aurélien Baillon & Zhenxing Huang & Asli Selim & Peter P. Wakker, 2018. "Measuring Ambiguity Attitudes for All (Natural) Events," Econometrica, Econometric Society, vol. 86(5), pages 1839-1858, September.
    29. Grant, Simon, 1995. "Subjective Probability without Monotonicity: Or How Machina's Mom May Also Be Probabilistically Sophisticated," Econometrica, Econometric Society, vol. 63(1), pages 159-189, January.
    30. Michael Kilka & Martin Weber, 2001. "What Determines the Shape of the Probability Weighting Function Under Uncertainty?," Management Science, INFORMS, vol. 47(12), pages 1712-1726, December.
    31. Felix Kubler & Larry Selden & Xiao Wei, 2017. "What Are Asset Demand Tests of Expected Utility Really Testing?," Economic Journal, Royal Economic Society, vol. 127(601), pages 784-808.
    32. David E. Bell, 1985. "Disappointment in Decision Making Under Uncertainty," Operations Research, INFORMS, vol. 33(1), pages 1-27, February.
    33. Mohammed Abdellaoui & Peter Wakker, 2005. "The Likelihood Method for Decision under Uncertainty," Theory and Decision, Springer, vol. 58(1), pages 3-76, February.
    34. Stephen G. Dimmock & Roy Kouwenberg & Peter P. Wakker, 2016. "Ambiguity Attitudes in a Large Representative Sample," Management Science, INFORMS, vol. 62(5), pages 1363-1380, May.
    35. Mohammed Abdellaoui & Horst Zank, 2023. "Source and rank-dependent utility," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(4), pages 949-981, May.
    36. Machina, Mark J & Schmeidler, David, 1992. "A More Robust Definition of Subjective Probability," Econometrica, Econometric Society, vol. 60(4), pages 745-780, July.
    37. Paolo Ghirardato & Fabio Maccheroni & Massimo Marinacci & Marciano Siniscalchi, 2003. "A Subjective Spin on Roulette Wheels," Econometrica, Econometric Society, vol. 71(6), pages 1897-1908, November.
    38. Nakamura, Yutaka, 1990. "Subjective expected utility with non-additive probabilities on finite state spaces," Journal of Economic Theory, Elsevier, vol. 51(2), pages 346-366, August.
    39. Hong, Chew Soo & Wakker, Peter, 1996. "The Comonotonic Sure-Thing Principle," Journal of Risk and Uncertainty, Springer, vol. 12(1), pages 5-27, January.
    40. Ying He, 2021. "Revisiting Ellsberg’s and Machina’s Paradoxes: A Two-Stage Evaluation Model Under Ambiguity," Management Science, INFORMS, vol. 67(11), pages 6897-6914, November.
    41. Schmeidler, David, 1989. "Subjective Probability and Expected Utility without Additivity," Econometrica, Econometric Society, vol. 57(3), pages 571-587, May.
    42. Veronica Cappelli & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Stefania Minardi, 2021. "Sources of Uncertainty and Subjective Prices," Journal of the European Economic Association, European Economic Association, vol. 19(2), pages 872-912.
    43. Graham Loomes & Robert Sugden, 1986. "Disappointment and Dynamic Consistency in Choice under Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(2), pages 271-282.
    44. Richter, Marcel K, 1980. "Continuous and Semi-Continuous Utility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(2), pages 293-299, June.
    45. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
    46. Peter P. Wakker & Horst Zank, 1999. "State Dependent Expected Utility for Savage's State Space," Mathematics of Operations Research, INFORMS, vol. 24(1), pages 8-34, February.
    47. Mohammed Abdellaoui & Han Bleichrodt & Olivier L’haridon & Dennie van Dolder, 2016. "Measuring Loss Aversion under Ambiguity: A Method to Make Prospect Theory Completely Observable," Post-Print halshs-01242616, HAL.
    48. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    49. Hong Chew Soo & Karni Edi, 1994. "Choquet Expected Utility with a Finite State Space: Commutativity and Act-Independence," Journal of Economic Theory, Elsevier, vol. 62(2), pages 469-479, April.
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