The Effect of Learning on Ambiguity Attitudes

References

• Abdellaoui M, L’Haridon, O, Zank H (2010) Separating curvature and elevation: A parametric probability weighting function. J. Risk Uncertainty 41(1):39–65.Crossref, Google Scholar
• Abdellaoui M, Vossmann F, Weber M (2005) Choice-based elicitation and decomposition of decision weights for gains and losses under uncertainty. Management Sci. 51(9):1384–1399.Link, Google Scholar
• Abdellaoui M, Baillon A, Placido L, Wakker PP (2011) The rich domain of uncertainty: Source functions and their experimental implementation. Amer. Econom. Rev. 101(2):695–723.Crossref, Google Scholar
• Abdellaoui M, Bleichrodt H, L’Haridon, O, Van Dolder D (2016) Measuring loss aversion under ambiguity: A method to make prospect theory completely observable. J. Risk Uncertainty 52(1):1–20.Crossref, Google Scholar
• Andersen S, Harrison GW, Lau MI, Rutström EE (2006) Elicitation using multiple price list formats. Experiment. Econom. 9(4):383–405.Crossref, Google Scholar
• Baillon A, Bleichrodt H (2015) Testing ambiguity models through the measurement of probabilities for gains and losses. Amer. Econom. J.: Micro 7(2):77–100.Crossref, Google Scholar
• Charness G, Levin D (2005) When optimal choices feel wrong: A laboratory study of Bayesian updating, complexity, and affect. Amer. Econom. Rev. 95(4):13000–1309.Google Scholar
• Chateauneuf A, Eichberger J, Grant S (2007) Choice under uncertainty with the best and worst in mind: Neo-additive capacities. J. Econom. Theory 137(1):538–567.Crossref, Google Scholar
• Chew SH, Sagi JS (2006) Event exchangeability: Probabilistic sophistication without continuity or monotonicity. Econometrica 74(3):771–786.Crossref, Google Scholar
• Chew SH, Sagi JS (2008) Small worlds: Modeling attitudes toward sources of uncertainty. J. Econom. Theory 139(1):1–24.Crossref, Google Scholar
• Cohen M, Gilboa I, Jaffray J, Schmeidler D (2000) An experimental study of updating ambiguous beliefs. Risk Decision Policy 5(2):123–133.Crossref, Google Scholar
• Diecidue E, Schmidt U, Zank H (2009) Parametric weighting functions. J. Econom. Theory 144(3):1102–1118.Crossref, Google Scholar
• Di Mauro C (2008) Uncertainty aversion vs. competence: An experimental market study. Theory Decision 64:301–331.Crossref, Google Scholar
• Dimmock SG, Kouwenberg R, Wakker PP (2016a) Ambiguity attitudes in a large representative sample. Management Sci. 62(5):1363–1380.Link, Google Scholar
• Dimmock SG, Kouwenberg R, Mitchell OS, Peijnenburg K (2016b) Ambiguity aversion and household portfolio choice puzzles: Empirical evidence. J. Financial Econom. 119(3):559–577.Crossref, Google Scholar
• Dominiak A, Dürsch, P, Lefort J (2012) A dynamic Ellsberg urn experiment. Games Econom. Behav. 75(2):625–638.Crossref, Google Scholar
• Eichberger J, Grant S, Kelsey D (2007) Updating Choquet beliefs. J. Math. Econom. 43(7–8):888–899.Crossref, Google Scholar
• Eichberger J, Grant S, Kelsey D (2010) Comparing three ways to update Choquet beliefs. Econom. Lett. 107(2):91–94.Crossref, Google Scholar
• Eichberger J, Grant S, Kelsey D (2012a) When is ambiguity attitude constant? J. Risk Uncertainty 45(3):239–263.Crossref, Google Scholar
• Eichberger J, Grant S, Lefort J (2012b) Generalized neo-additive capacities and updating. Internat. J. Econom. Theory 8(3):237–257.Crossref, Google Scholar
• El-Gamal MA, Grether DM (1995) Are people Bayesian? Uncovering behavioral strategies. J. Amer. Statist. Assoc. 90(432):1137–1145.Crossref, Google Scholar
• Ellsberg D (1961) Risk, ambiguity and the Savage axioms. Quart. J. Econom. 75(4):643–669.Crossref, Google Scholar
• Epstein LG (2006) An axiomatic model of non-Bayesian updating. Rev. Econom. Stud. 73(2):413–436.Crossref, Google Scholar
• Epstein LG, Schneider M (2007) Learning under ambiguity. Rev. Econom. Stud. 74(4):1275–1303.Crossref, Google Scholar
• Ert E, Trautmann ST (2014) Sampling experience reverses preferences for ambiguity. J. Risk Uncertainty 49(1):31–42.Crossref, Google Scholar
• Fox CR, Tversky A (1998) A belief-based account of decision under uncertainty. Management Sci. 44(7):879–895.Link, Google Scholar
• Fox CR, Weber M (2002) Ambiguity aversion, comparative ignorance, and decision context. Organ. Behav. Human Decision Processes 88(1):476–498.Crossref, Google Scholar
• Gajdos T, Hayashi T, Tallon JM, Vergnaud JC (2008) Attitude toward imprecise information. J. Econom. Theory 140(1):27–65.Crossref, Google Scholar
• Gallagher J (2014) Learning about an infrequent event: Evidence from flood insurance take-up in the United States. Amer. Econom. J.: Appl. Econom. 6(3):206–233.Crossref, Google Scholar
• Ghirardato P, Marinacci M (2001) Risk, ambiguity, and the separation of utility and beliefs. Math. Oper. Res. 26(4):864–890.Link, Google Scholar
• Ghirardato P, Marinacci M (2002) Ambiguity made precise: A comparative foundation. J. Econom. Theory 102(2):251–289.Crossref, Google Scholar
• Ghirardato P, Maccheroni F, Marinacci M (2004) Differentiating ambiguity and ambiguity attitude. J. Econom. Theory 118(2):133–173.Crossref, Google Scholar
• Gilboa I (1987) Expected utility with purely subjective non-additive probabilities. J. Math. Econom. 16(1):65–88.Crossref, Google Scholar
• Gilboa I, Marinacci M (2016) Ambiguity and the Bayesian paradigm. Arló-Costa H, Hendricks VF, van Benthem J, eds. Readings in Formal Epistemology (Springer International Publishing, Switzerland), 385–439.Crossref, Google Scholar
• Gilboa I, Schmeidler D (1989) Maxmin expected utility with a non-unique prior. J. Math. Econom. 18(2):141–153.Crossref, Google Scholar
• Gilboa I, Schmeidler D (1993) Updating ambiguous beliefs. J. Econom. Theory 59(1):33–49.Crossref, Google Scholar
• Grether DM (1980) Bayes rule as a descriptive model: The representativeness heuristic. Quart. J. Econom. 95:537–557.Crossref, Google Scholar
• Griffin D, Tversky A (1992) The weighing of evidence and the determinants of confidence. Cognitive Psych. 24(3):411–435.Crossref, Google Scholar
• Hamermesh DS (1985) Expectations, life expectancy, and economic behavior. Quart. J. Econom. 100(2):389–408.Crossref, Google Scholar
• Hanany E, Klibanoff P (2007) Updating preferences with multiple priors. Theoret. Econom. 2(3):261–298.Google Scholar
• Heath C, Tversky A (1991) Preference and belief: Ambiguity and competence in choice under uncertainty. J. Risk Uncertainty 4(1):4–28.Crossref, Google Scholar
• Hoffman RM, Kagel JH, Levin D (2011) Simultaneous versus sequential information processing. Econom. Lett. 112(1):16–18.Crossref, Google Scholar
• Kahn BE, Sarin RK (1988) Modeling ambiguity in decisions under uncertainty. J. Consumer Res. 15(2):265–272.Crossref, Google Scholar
• Kahneman D, Tversky A (1972) Subjective probability: A judgment of representativeness. Cognitive Psych. 3(3):430–454.Crossref, Google Scholar
• Kahneman D, Tversky A (1979) Prospect theory: An analysis of decision under risk. Econometrica 47(2):263–291.Crossref, Google Scholar
• Keynes JM (1921) A Treatise on Probability (McMillan, London).Google Scholar
• Kilka M, Weber M (2001) What determines the shape of the probability weighting function under uncertainty? Management Sci. 47(12):1712–1726.Link, Google Scholar
• Landis J, Koch G (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174.Crossref, Google Scholar
• List JA (2004) Neoclassical theory versus prospect theory: Evidence from the marketplace. Econometrica 72(2):615–625.Crossref, Google Scholar
• Myagkov M, Plott CR (1997) Exchange economies and loss exposure: Experiments exploring prospect theory and competitive equilibria in market environments. Amer. Econom. Rev. 87(5):801–828.Google Scholar
• Phillips LD, Edwards W (1966) Conservatism in a simple probability inference task. J. Experiment. Psych. 72(3):346–354.Crossref, Google Scholar
• Poinas F, Rosaz J, Roussillon B (2012) Updating beliefs with imperfect signals: Experimental evidence. J. Risk Uncertainty 44(3):219–241.Crossref, Google Scholar
• Prelec, D (1998) The probability weighting function. Econometrica 66(3):497–527.Crossref, Google Scholar
• Rabin M, Schrag JL (1999) First impressions matter: A model of confirmatory bias. Quart. J. Econom. 114(1):37–82.Crossref, Google Scholar
• Schmeidler D (1989) Subjective probability and expected utility without additivity. Econometrica 57(3):571–587.Crossref, Google Scholar
• Smith VK, Taylor Jr DH, Sloan FA (2001) Longevity expectations and death: Can people predict their own demise? Amer. Econom. Rev. 91(4):1126–1134.Crossref, Google Scholar
• Stott HP (2006) Cumulative prospect theory’s functional menagerie. J. Risk and Uncertainty 32(2):101–130.Crossref, Google Scholar
• Train KE (2009) Discrete Choice Methods with Simulation (Cambridge University Press, Cambidge, UK).Crossref, Google Scholar
• Trautmann ST, Van de Kuilen G (2016) Ambiguity attitudes. Keren G, Wu G, eds. Blackwell Handbook of Judgment and Decision Making (Wiley Blackwell, Hoboken, NJ), 89–116.Google Scholar
• Tversky A, Fox C (1995) Weighing risk and uncertainty. Psych. Rev. 102(2):269–283.Crossref, Google Scholar
• Tversky A, Kahneman D (1973) Availability: A heuristic for judging frequency and probability. Cognitive Psych. 5(2):207–232.Crossref, Google Scholar
• Tversky A, Kahneman D (1992) Advances in prospect theory: Cumulative representation of uncertainty. J. Risk Uncertainty 5(4):297–323.Crossref, Google Scholar
• Tversky A, Koehler DK (1994) Support theory: A nonexistential representation of subjective probability. Psych. Rev. 101(4):547–567.Crossref, Google Scholar
• Tversky A, Wakker PP (1995) Risk attitudes and decision weights. Econometrica 63(6):1255–1280.Crossref, Google Scholar
• Van de Kuilen G, Wakker PP (2006) Learning in the Allais paradox. J. Risk Uncertainty 33(3):155–164.Crossref, Google Scholar
• Wakker PP (2010) Prospect Theory: For Risk and Ambiguity (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar