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Non-expected utility maximizers behave as if expected utility maximizers: An experimental test

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  • Kurata, Hiroshi
  • Izawa, Hiroshi
  • Okamura, Makoto

Abstract

We investigate the behaviors of subjects who either do or do not adhere to the expected utility theory using the Becker-DeGroot-Marschak (BDM) method. We directly examine the validity of the expected utility theory in order to distinguish subjects into two groups: those who adhere to the expected utility theory (expected utility maximizers) and those who do not adhere to it (non-expected utility maximizers), and then execute the BDM experiment in the both groups. We find that the differences in the stated prices between the expected and non-expected utility maximizers are not significant. This result implies practical usefulness for the BDM method.

Suggested Citation

  • Kurata, Hiroshi & Izawa, Hiroshi & Okamura, Makoto, 2009. "Non-expected utility maximizers behave as if expected utility maximizers: An experimental test," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(4), pages 622-629, August.
    • Handle: RePEc:eee:soceco:v:38:y:2009:i:4:p:622-629
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    References listed on IDEAS

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    Cited by:

    1. Jonathan Chapman & Mark Dean & Pietro Ortoleva & Erik Snowberg & Colin Camerer, 2018. "Econographics," NBER Working Papers 24931, National Bureau of Economic Research, Inc.
    2. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," NBER Working Papers 25072, National Bureau of Economic Research, Inc.
    3. Jonathan Chapman & Mark Dean & Pietro Ortoleva & Erik Snowberg & Colin Camerer, 2017. "Willingness to Pay and Willingness to Accept are Probably Less Correlated Than You Think," NBER Working Papers 23954, National Bureau of Economic Research, Inc.
    4. Jonathan Chapman & Mark Dean & Pietro Ortoleva & Erik Snowberg & Colin Camerer, 2017. "Willingness to Pay and Willingness to Accept are Probably Less Correlated Than You Think," NBER Working Papers 23954, National Bureau of Economic Research, Inc.
    5. Patrick DeJarnette & David Dillenberger & Daniel Gottlieb & Pietro Ortoleva, 2014. "Time Lotteries and Stochastic Impatience," PIER Working Paper Archive 18-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 13 Jun 2018.
    6. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," NBER Working Papers 25072, National Bureau of Economic Research, Inc.
    7. Patrick DeJarnette & David Dillenberger & Daniel Gottlieb & Pietro Ortoleva, 2015. "Time Lotteries," PIER Working Paper Archive 15-026, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 31 Jul 2015.
    8. DeJarnette, Patrick & Dillenberger, David & Gottlieb, Daniel & Ortoleva, Pietro, 2020. "Time lotteries and stochastic impatience," LSE Research Online Documents on Economics 102564, London School of Economics and Political Science, LSE Library.
    9. Patrick DeJarnette & David Dillenberger & Daniel Gottlieb & Pietro Ortoleva, 2014. "Time Lotteries, Second Version," PIER Working Paper Archive 15-026v2, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 12 Jan 2018.
    10. Eisenhauer, Joseph G., 2010. "Rank-ordering of risk preferences with conventional and discrete measures," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 291-297, August.
    11. Patrick DeJarnette & David Dillenberger & Daniel Gottlieb & Pietro Ortoleva, 2020. "Time Lotteries and Stochastic Impatience," Econometrica, Econometric Society, vol. 88(2), pages 619-656, March.

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