A Quantitative Measurement of Regret Theory

Published Online:https://doi.org/10.1287/mnsc.1090.1097

References

  • Abdellaoui M. Parameter-free elicitation of utility and probability weighting functions. Management Sci. (2000) 46(11):1497–1512LinkGoogle Scholar
  • Abdellaoui M., Barrios C., Wakker P. P. Reconciling introspective utility with revealed preference: Experimental arguments based on prospect theory. J. Econometrics (2007a) 138(1):356–378CrossrefGoogle Scholar
  • Abdellaoui M., Bleichrodt H., l'Haridon O. A tractable method to measure utility and loss aversion under prospect theory. J. Risk Uncertainty (2008) 36(3):245–266CrossrefGoogle Scholar
  • Abdellaoui M., Bleichrodt H., Paraschiv C. Measuring loss aversion under prospect theory: A parameter-free approach. Management Sci. (2007b) 53(10):1659–1674LinkGoogle Scholar
  • Abdellaoui M., Vossmann F., Weber M. Choice-based elicitation and decomposition of decision weights for gains and losses under uncertainty. Management Sci. (2005) 51(9):1384–1399LinkGoogle Scholar
  • Barberis N., Xiong W. What drives the disposition effect? An analysis of a long-standing preference-based explanation. J. Finance (2009) 64(2):751–784CrossrefGoogle Scholar
  • Barberis N., Huang M., Thaler R. H. Individual preferences, monetary gambles, and stock market participation: A case for narrow framing. Amer. Econom. Rev. (2006) 96(4):1069–1090CrossrefGoogle Scholar
  • Beattie J., Loomes G. The impact of incentives upon risky choice experiments. J. Risk Uncertainty (1997) 14(2):155–168CrossrefGoogle Scholar
  • Bell D. E. Regret in decision making under uncertainty. Oper. Res. (1982) 30(5):961–981LinkGoogle Scholar
  • Bell D. E. Risk premiums for decision regret. Management Sci. (1983) 29(10):1156–1166LinkGoogle Scholar
  • Birnbaum M., Schmidt U. An experimental investigation of violations of transitivity in choice under uncertainty. J. Risk Uncertainty (2008) 37(1):77–91CrossrefGoogle Scholar
  • Bleichrodt H., Pinto J. L. A parameter-free elicitation of the probability weighting function in medical decision analysis. Management Sci. (2000) 46(11):1485–1496LinkGoogle Scholar
  • Braun M., Muermann A. The impact of regret on the demand for insurance. J. Risk Insurance (2004) 71(4):737–767CrossrefGoogle Scholar
  • Cubitt R., Starmer C., Sugden R. On the validity of the random lottery incentive system. Experiment. Econom. (1998) 1(2):115–131CrossrefGoogle Scholar
  • Di Cagno D., Hey J. D. A direct test of the original version of regret theory. J. Behav. Decision Making (1988) 1(1):43–56CrossrefGoogle Scholar
  • Engelbrecht-Wiggans R., Katok E. Regret and feedback information in first-price sealed-bid auctions. Management Sci. (2008) 54(4):808–819LinkGoogle Scholar
  • Etchart-Vincent N. Is probability weighting sensitive to the magnitude of consequences? An experimental investigation on losses. J. Risk Uncertainty (2004) 28(3):217–235CrossrefGoogle Scholar
  • Feliz-Ozbay E., Ozbay E. Y. Auctions with anticipated regret: Theory and experiment. Amer. Econom. Rev. (2007) 97(4):1407–1418CrossrefGoogle Scholar
  • Fennema H., van Assen M. Measuring the utility of losses by means of the trade-off method. J. Risk Uncertainty (1998) 17(3):277–295CrossrefGoogle Scholar
  • Fishburn P. C. Non-transitive measurable utility. J. Math. Psych. (1982) 26(1):31–67CrossrefGoogle Scholar
  • Gollier C., Salanié B. Individual decisions under risk, risk sharing, and asset prices with regret. (2006) . Working paper, University of Toulouse, Toulouse, FranceGoogle Scholar
  • Gonzalez R., Wu G. On the form of the probability weighting function. Cognitive Psych. (1999) 38(1):129–166CrossrefGoogle Scholar
  • Harrison G. W., Rutström E., Cox J. C., Harrison G. W. Risk aversion in the laboratory. Risk Aversion in Experiments. Research in Experimental Economics (2008) 12(Emerald, Bingley, UK) 41–196CrossrefGoogle Scholar
  • Hens T., Vlcek M. Does prospect theory explain the disposition effect? (2006) . Working paper, University of Zurich, ZurichGoogle Scholar
  • Humphrey S. J. Regret aversion or event-splitting effects? More evidence under risk and uncertainty. J. Risk Uncertainty (1995) 11(3):263–274CrossrefGoogle Scholar
  • Kahneman D., Tversky A. Prospect theory: An analysis of decision under risk. Econometrica (1979) 47(2):263–291CrossrefGoogle Scholar
  • Krantz D. H., Luce R. D., Suppes P., Tversky A.Foundations of Measurement (1971) 1(Academic Press, New York) Google Scholar
  • Larrick R. P. Motivational factors in decision theories: The role of self-protection. Psych. Bull. (1993) 113(3):440–450CrossrefGoogle Scholar
  • Loomes G., Sugden R. Regret theory: An alternative theory of rational choice. Econom. J. (1982) 92(368):805–824Google Scholar
  • Loomes G., Sugden R. Some implications of a more general form of regret theory. J. Econom. Theory (1987) 41(2):270–287CrossrefGoogle Scholar
  • Loomes G., Starmer C., Sugden R. Observing violations of transitivity by experimental methods. Econometrica (1991) 59(2):425–439CrossrefGoogle Scholar
  • Muermann A., Volkman J. M. Regret, pride, and the disposition effect. (2007) . Working paper, University of Pennsylvania, PhiladelphiaGoogle Scholar
  • Muermann A., Mitchell O. S., Volkman J. M. Regret, portfolio choice, and guarantees in defined contribution schemes. Insurance, Math., Econom. (2006) 39(2):219–229CrossrefGoogle Scholar
  • Perakis G., Roels G. Regret in the newsvendor model with partial information. Oper. Res. (2008) 56(1):188–203LinkGoogle Scholar
  • Schunk D., Betsch C. Explaining heterogeneity in utility functions by individual differences in decision modes. J. Econom. Psych. (2006) 27(3):386–401CrossrefGoogle Scholar
  • Starmer C. Developments in non-expected utility theory: The hunt for a descriptive theory of choice under risk. J. Econom. Literature (2000) 38(2):332–382CrossrefGoogle Scholar
  • Starmer C., Sugden R. Does the random-lottery incentive system elicit true preferences? An experimental investigation. Amer. Econom. Rev. (1991) 81(4):971–978Google Scholar
  • Starmer C., Sugden R. Testing for juxtaposition and event-splitting effects. J. Risk Uncertainty (1993) 6(3):235–254CrossrefGoogle Scholar
  • Stott H. P. Cumulative prospect theory's functional menagerie. J. Risk Uncertainty (2006) 32(2):101–130CrossrefGoogle Scholar
  • Tversky A., Kahneman D. Advances in prospect theory: Cumulative representation of uncertainty. J. Risk Uncertainty (1992) 5(4):297–323CrossrefGoogle Scholar
  • Tversky A., Sattath S., Slovic P. Contingent weighting in judgment and choice. Psych. Rev. (1988) 95(3):371–384CrossrefGoogle Scholar
  • Wakker P., Deneffe D. Eliciting von Neumann-Morgenstern utilities when probabilities are distorted or unknown. Management Sci. (1996) 42(8):1131–1150LinkGoogle Scholar
  • Zeelenberg M. Anticipated regret, expected feedback and behavioral decision making. J. Behav. Decision Making (1999) 12(2):93–106CrossrefGoogle Scholar
  • Zeelenberg M., Beattie J., van der Pligt J., de Vries N. K. Consequences of regret aversion: Effects of expected feedback on risky decision making. Organ. Behav. Human Decision Processes (1996) 65(2):148–158CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.