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Empirical evaluation of third-generation prospect theory

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  • Michael H. Birnbaum

    (California State University, Fullerton)

Abstract

Third generation prospect theory (Schmidt et al. J Risk Uncertain 36:203–223, 2008) is a theory of choices and of judgments of highest buying and lowest selling prices of risky prospects, i.e., of willingness to pay (WTP) and willingness to accept (WTA). The gap between WTP and WTA is sometimes called the “endowment effect” and was previously called the “point of view” effect. Third generation prospect theory (TGPT) combines cumulative prospect theory for risky prospects with the theory that judged values are based on the integration of price paid or price received with the consequences of gambles. In TGPT, the discrepancy between WTP and WTA is due to loss aversion-losses have greater absolute utility than gains of the same value. TGPT was developed independently of similar developments by Birnbaum and Zimmermann (Organ Behav Hum Decis Process 74(2):145–187, 1998) and Luce (Utility of gains and losses: measurement-theoretical and experimental approaches. Erlbaum, Mahwah, 2000). This paper reviews theoretical and empirical findings, to show that TGPT fails as a descriptive model of both choices and judgments. Evidence refutes three implications of TGPT, but they are consistent with configural weight models (Birnbaum and Stegner, J Personal Soc Psychol 37:48–74, 1979) in which loss aversion is not needed to describe the results. In the configural weight models, buyers place greater weight on lower consequences, attributes or estimates of value compared to sellers, who place greater configural weight on higher aspects of an object or prospect.

Suggested Citation

  • Michael H. Birnbaum, 2018. "Empirical evaluation of third-generation prospect theory," Theory and Decision, Springer, vol. 84(1), pages 11-27, January.
  • Handle: RePEc:kap:theord:v:84:y:2018:i:1:d:10.1007_s11238-017-9607-y
    DOI: 10.1007/s11238-017-9607-y
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    References listed on IDEAS

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    1. Michael Birnbaum, 2005. "A Comparison of Five Models that Predict Violations of First-Order Stochastic Dominance in Risky Decision Making," Journal of Risk and Uncertainty, Springer, vol. 31(3), pages 263-287, December.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. repec:cup:judgdm:v:7:y:2012:i:3:p:254-267 is not listed on IDEAS
    4. Ulrich Schmidt & Chris Starmer & Robert Sugden, 2008. "Third-generation prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 203-223, June.
    5. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    6. 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.
    7. Birnbaum, Michael H. & Zimmermann, Jacqueline M., 1998. "Buying and Selling Prices of Investments: Configural Weight Model of Interactions Predicts Violations of Joint Independence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 74(2), pages 145-187, May.
    8. 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.
    9. Luce, R. Duncan, 1991. "Rank- and sign-dependent linear utility models for binary gambles," Journal of Economic Theory, Elsevier, vol. 53(1), pages 75-100, February.
    10. Birnbaum, Michael H., 2004. "Tests of rank-dependent utility and cumulative prospect theory in gambles represented by natural frequencies: Effects of format, event framing, and branch splitting," Organizational Behavior and Human Decision Processes, Elsevier, vol. 95(1), pages 40-65, September.
    11. Birnbaum, Michael H & Navarrete, Juan B, 1998. "Testing Descriptive Utility Theories: Violations of Stochastic Dominance and Cumulative Independence," Journal of Risk and Uncertainty, Springer, vol. 17(1), pages 49-78, October.
    12. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    13. repec:cup:judgdm:v:7:y:2012:i:4:p:402-426 is not listed on IDEAS
    14. Luce, R Duncan & Fishburn, Peter C, 1991. "Rank- and Sign-Dependent Linear Utility Models for Finite First-Order Gambles," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 29-59, January.
    15. Birnbaum, Michael H. & Sutton, Sara E., 1992. "Scale convergence and utility measurement," Organizational Behavior and Human Decision Processes, Elsevier, vol. 52(2), pages 183-215, July.
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    Cited by:

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    2. Charles-Cadogan, G., 2018. "Losses loom larger than gains and reference dependent preferences in Bernoulli’s utility function," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 220-237.
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    4. Michał Lewandowski & Łukasz Woźny, 2020. "On complementary symmetry and reference dependence," KAE Working Papers 2020-059, Warsaw School of Economics, Collegium of Economic Analysis.

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