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Decision making under time pressure, modeled in a prospect theory framework

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  • Young, Diana L.
  • Goodie, Adam S.
  • Hall, Daniel B.
  • Wu, Eric
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    Abstract

    The current research examines the effects of time pressure on decision behavior based on a prospect theory framework. In Experiments 1 and 2, participants estimated certainty equivalents for binary gains-only bets in the presence or absence of time pressure. In Experiment 3, participants assessed comparable bets that were framed as losses. Data were modeled to establish psychological mechanisms underlying decision behavior. In Experiments 1 and 2, time pressure led to increased risk attractiveness, but no significant differences emerged in either probability discriminability or outcome utility. In Experiment 3, time pressure reduced probability discriminability, which was coupled with severe risk-seeking behavior for both conditions in the domain of losses. No significant effects of control over outcomes were observed. Results provide qualified support for theories that suggest increased risk-seeking for gains under time pressure.

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    Bibliographic Info

    Article provided by Elsevier in its journal Organizational Behavior and Human Decision Processes.

    Volume (Year): 118 (2012)
    Issue (Month): 2 ()
    Pages: 179-188

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    Handle: RePEc:eee:jobhdp:v:118:y:2012:i:2:p:179-188

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    Web page: http://www.elsevier.com/locate/obhdp

    Related research

    Keywords: Decision making; Prospect theory; Time pressure; Probability; Choice; Gambling;

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    1. Martin G. Kocher & Matthias Sutter, 2004. "Time is money - Time pressure, incentives, and the quality of decision-making," Papers on Strategic Interaction 2004-05, Max Planck Institute of Economics, Strategic Interaction Group.
    2. Sutter, Matthias & Kocher, Martin G. & Strauß, Sabine, 2003. "Bargaining under time pressure in an experimental ultimatum game," Munich Reprints in Economics 18220, University of Munich, Department of Economics.
    3. 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.
    4. Adam S. Goodie & Diana L. Young, 2007. "The skill element in decision making under uncertainty: Control or competence?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 2, pages 189-203, June.
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    7. Payne, John W. & Bettman, James R. & Luce, Mary Frances, 1996. "When Time Is Money: Decision Behavior under Opportunity-Cost Time Pressure," Organizational Behavior and Human Decision Processes, Elsevier, vol. 66(2), pages 131-152, May.
    8. Mohammed Abdellaoui & Han Bleichrodt & Olivier L’Haridon, 2008. "A tractable method to measure utility and loss aversion under prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 245-266, June.
    9. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1990. "Experimental Tests of the Endowment Effect and the Coase Theorem," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1325-48, December.
    10. Craig R. Fox & Amos Tversky, 1998. "A Belief-Based Account of Decision Under Uncertainty," Management Science, INFORMS, vol. 44(7), pages 879-895, July.
    11. Busemeyer, Jerome R. & Diederich, Adele, 2002. "Survey of decision field theory," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 345-370, July.
    12. Gregory W. Fischer & Ziv Carmon & Dan Ariely & Gal Zauberman, 1999. "Goal-Based Construction of Preferences: Task Goals and the Prominence Effect," Management Science, INFORMS, vol. 45(8), pages 1057-1075, August.
    13. Tversky, Amos & Kahneman, Daniel, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, MIT Press, vol. 106(4), pages 1039-61, November.
    14. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
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