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The center and range of the probability interval as factors affecting ambiguity preferences

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  • Curley, Shawn P.
  • Yates, J. Frank

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  • Curley, Shawn P. & Yates, J. Frank, 1985. "The center and range of the probability interval as factors affecting ambiguity preferences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 36(2), pages 273-287, October.
  • Handle: RePEc:eee:jobhdp:v:36:y:1985:i:2:p:273-287
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    Cited by:

    1. Sujoy Chakravarty & Jaideep Roy, 2009. "Recursive expected utility and the separation of attitudes towards risk and ambiguity: an experimental study," Theory and Decision, Springer, vol. 66(3), pages 199-228, March.
    2. Anna Maffioletti & Michele Santoni, 2005. "Do Trade Union Leaders Violate Subjective Expected Utility? Some Insights From Experimental Data," Theory and Decision, Springer, vol. 59(3), pages 207-253, November.
    3. Anwar, Sajid & Zheng, Mingli, 2012. "Competitive insurance market in the presence of ambiguity," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 79-84.
    4. Yacine Aït-Sahalia, 2001. "Variable Selection for Portfolio Choice," Journal of Finance, American Finance Association, vol. 56(4), pages 1297-1351, August.
    5. David L. Dickinson & Ronald L. Oaxaca, 2009. "Statistical Discrimination in Labor Markets: An Experimental Analysis," Southern Economic Journal, Southern Economic Association, vol. 76(1), pages 16-31, July.
    6. Joanna Ho & L. Keller & Pamela Keltyka, 2005. "How Do Information Ambiguity and Timing of Contextual Information Affect Managers’ Goal Congruence in Making Investment Decisions in Good Times vs. Bad Times?," Journal of Risk and Uncertainty, Springer, vol. 31(2), pages 163-186, September.
    7. Ahn, Byeong Seok & Park, Haechurl, 2014. "Establishing dominance between strategies with interval judgments of state probabilities," Omega, Elsevier, vol. 49(C), pages 53-59.
    8. Laure Cabantous, 2007. "Ambiguity Aversion in the Field of Insurance: Insurers’ Attitude to Imprecise and Conflicting Probability Estimates," Theory and Decision, Springer, vol. 62(3), pages 219-240, May.
    9. Kip Smith & John Dickhaut & Kevin McCabe & José V. Pardo, 2002. "Neuronal Substrates for Choice Under Ambiguity, Risk, Gains, and Losses," Management Science, INFORMS, vol. 48(6), pages 711-718, June.
    10. Corgnet, Brice & Kujal, Praveen & Porter, David, 2010. "Reaction to public information in asset markets: does ambiguity matter?," UC3M Working papers. Economics we1025, Universidad Carlos III de Madrid. Departamento de Economía.
    11. Mary Riddel & W. Shaw, 2006. "A theoretically-consistent empirical model of non-expected utility: An application to nuclear-waste transport," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 131-150, March.
    12. Du, Ning & Budescu, David V. & Shelly, Marjorie K. & Omer, Thomas C., 2011. "The appeal of vague financial forecasts," Organizational Behavior and Human Decision Processes, Elsevier, vol. 114(2), pages 179-189, March.
    13. DeKay, Michael L. & Patiño-Echeverri, Dalia & Fischbeck, Paul S., 2009. "Distortion of probability and outcome information in risky decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 109(1), pages 79-92, May.
    14. Langewisch, Andrew & Choobineh, Fred, 1996. "Stochastic dominance tests for ranking alternatives under ambiguity," European Journal of Operational Research, Elsevier, vol. 95(1), pages 139-154, November.
    15. Budescu, David V. & Kuhn, Kristine M. & Kramer, Karen M. & Johnson, Timothy R., 2002. "Modeling certainty equivalents for imprecise gambles," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(2), pages 748-768, July.

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