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Decision Making with Risky, Rival Outcomes: Theory and Evidence

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Abstract

Little is known about how individuals make decisions when they must choose several options from a set of options when the outcomes are risky and the payoffs are rival. When researchers model these decisions, they assume people maximize their expected utility. We design an experiment in which subjects face either rival or independent payoffs. While theory predicts different behavior, subjects behave nearly identically under these payoff schemes. This suggests individuals are not maximizing expected utility. Additional treatments demonstrate that this behavior is likely driven by a heuristic used to simplify a complex math problem, rather than a preference for lotteries with the highest independent expected utilities. Our results suggest that using expected utility as peoples' objective function in these types of environments will lead to biased predictions.

Suggested Citation

  • David B. Johnson & Matthew D. Webb, 2016. "Decision Making with Risky, Rival Outcomes: Theory and Evidence," Carleton Economic Papers 16-12, Carleton University, Department of Economics.
  • Handle: RePEc:car:carecp:16-12
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    1. repec:clg:wpaper:2013-27 is not listed on IDEAS
    2. James S. Dyer & Rakesh K. Sarin, 1982. "Relative Risk Aversion," Management Science, INFORMS, vol. 28(8), pages 875-886, August.
    3. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    4. 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.
    5. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    6. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    7. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    8. Caroline Hoxby & Christopher Avery, 2013. "The Missing "One-Offs": The Hidden Supply of High-Achieving, Low-Income Students," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 1-65.
    9. repec:clg:wpaper:2013-21 is not listed on IDEAS
    10. Jürgen Schupp & Gert G. Wagner, 2002. "Maintenance of and Innovation in Long-Term Panel Studies: The Case of the German Socio-Economic Panel (GSOEP)," Discussion Papers of DIW Berlin 276, DIW Berlin, German Institute for Economic Research.
    11. Amanda Pallais, 2015. "Small Differences That Matter: Mistakes in Applying to College," Journal of Labor Economics, University of Chicago Press, vol. 33(2), pages 493-520.
    12. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    13. David Johnson & David Cooper, "undated". "Ambiguity in Performance Pay: An Online Experiment," Working Papers 2014-83, Department of Economics, University of Calgary, revised 10 Nov 2014.
    14. Chao Fu, 2014. "Equilibrium Tuition, Applications, Admissions, and Enrollment in the College Market," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 225-281.
    15. Richard H. Thaler & Shlomo Benartzi, 2001. "Naive Diversification Strategies in Defined Contribution Saving Plans," American Economic Review, American Economic Association, vol. 91(1), pages 79-98, March.
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    Cited by:

    1. David Johnson & John Barry Ryan, 2020. "Amazon Mechanical Turk workers can provide consistent and economically meaningful data," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 369-385, July.
    2. Gibson, John & Johnson, David, 2018. "The Economic Relevancy of Risk Preferences Elicited Online and With Low Stakes," MPRA Paper 87231, University Library of Munich, Germany.
    3. David B. Johnson & Matthew D. Webb, 2017. "An Experimental Test of the No Safety Schools Theorem," Carleton Economic Papers 17-10, Carleton University, Department of Economics.

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    More about this item

    Keywords

    decision making; risk; rival; online experiment;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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