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Gain-Loss Separability and Coalescing in Risky Decision Making

Author

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  • Michael H. Birnbaum

    (Decision Research Center, Department of Psychology, California State University, Fullerton, 800 North State College Boulevard, Fullerton, California 92834-6846)

  • Jeffrey P. Bahra

    (Decision Research Center, Department of Psychology, California State University, Fullerton, 800 North State College Boulevard, Fullerton, California 92834-6846)

Abstract

This experiment tested two behavioral properties of risky decision making--gain-loss separability (GLS) and coalescing. Cumulative prospect theory (CPT) implies both properties, but the transfer of attention exchange (TAX) model violates both. Original prospect theory satisfies GLS but may or may not satisfy coalescing, depending on whether editing rules are assumed. A configural form of CPT proposed by Wu and Markle [Wu, G., A. B. Markle. 2004. An empirical test of gain-loss separability in prospect theory. Working Paper 06-25-04, Graduate School of Business, University of Chicago] violates GLS, but satisfies coalescing. New tests were designed and conducted to test these theories against specific predictions of a TAX model. This model used parameters estimated from previous data, together with simple new assumptions to extend TAX to gambles with negative and mixed consequences. Contrary to all three forms of prospect theory, systematic violations of both coalescing and GLS were observed. Violations of GLS were confirmed by analyses of individual data patterns by means of an error model in which each choice can have a different rate of error. Without estimating any parameters from the new data, the TAX model predicted the majority choices in the new data fairly well, correctly predicting when modal choices would violate GLS, when they would satisfy it, and when indifference would be observed.

Suggested Citation

  • Michael H. Birnbaum & Jeffrey P. Bahra, 2007. "Gain-Loss Separability and Coalescing in Risky Decision Making," Management Science, INFORMS, vol. 53(6), pages 1016-1028, June.
  • Handle: RePEc:inm:ormnsc:v:53:y:2007:i:6:p:1016-1028
    DOI: 10.1287/mnsc.1060.0592
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    References listed on IDEAS

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    Cited by:

    1. Kontek, Krzysztof, 2011. "What is the actual shape of perception utility?," MPRA Paper 31715, University Library of Munich, Germany.
    2. Yun-shil Cha & Michelle Choi & Ying Guo & Michel Regenwetter & Chris Zwilling, 2013. "Reply: Birnbaum's (2012) statistical tests of independence have unknown Type-I error rates and do not replicate within participant," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(1), pages 55-73, January.
    3. Romero-Ramírez, Erick & Venegas-Martínez, Francisco & Trejo-García, José Carlos, 2019. "Revisitando los modelos de Birnbaum-Chávez y de Diamond-Dybvig sobre corridas bancarias ¿Las corridas dependen sólo de fundamentos económicos o también de factores psicológicos?," eseconomía, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 14(50), pages 7-40, Primer se.
    4. Peter Brooks & Simon Peters & Horst Zank, 2014. "Risk behavior for gain, loss, and mixed prospects," Theory and Decision, Springer, vol. 77(2), pages 153-182, August.
    5. Michael H. Birnbaum & Lucy Wan, 2020. "MARTER: Markov True and Error model of drifting parameters," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(1), pages 47-73, January.
    6. Behnam Malakooti & Mohamed Komaki & Camelia Al-Najjar, 2021. "Basic Geometric Dispersion Theory of Decision Making Under Risk: Asymmetric Risk Relativity, New Predictions of Empirical Behaviors, and Risk Triad," Decision Analysis, INFORMS, vol. 18(1), pages 41-77, March.
    7. Ulrich Schmidt & Chris Starmer & Robert Sugden, 2008. "Third-generation prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 203-223, June.
    8. Bart de Langhe & Stefano Puntoni, 2015. "Bang for the Buck: Gain-Loss Ratio as a Driver of Judgment and Choice," Management Science, INFORMS, vol. 61(5), pages 1137-1163, May.
    9. Salvatore Greco & Fabio Rindone, 2014. "The bipolar Choquet integral representation," Theory and Decision, Springer, vol. 77(1), pages 1-29, June.
    10. Landry, Peter & Webb, Ryan, 2021. "Pairwise normalization: A neuroeconomic theory of multi-attribute choice," Journal of Economic Theory, Elsevier, vol. 193(C).
    11. Thomas Kourouxous & Thomas Bauer, 2019. "Violations of dominance in decision-making," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 209-239, April.
    12. Pele Schramm, 2020. "The individual true and error model: Getting the most out of limited data," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(5), pages 851-860, September.
    13. Birnbaum, Michael H. & Schmidt, Ulrich, 2010. "Allais paradoxes can be reversed by presenting choices in canonical split form," Kiel Working Papers 1615, Kiel Institute for the World Economy.
    14. Hochman, Guy & Ayal, Shahar & Ariely, Dan, 2014. "Keeping your gains close but your money closer: The prepayment effect in riskless choices," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 582-594.
    15. Birnbaum, Michael H. & LaCroix, Adam R., 2008. "Dimension integration: Testing models without trade-offs," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 122-133, January.
    16. Michael H. Birnbaum & Edika G. Quispe-Torreblanca, 2018. "TEMAP2.R: True and Error model analysis program in R," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(5), pages 428-440, September.
    17. Michael H. Birnbaum, 2013. "True-and-error models violate independence and yet they are testable," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(6), pages 717-737, November.
    18. Ulrich Schmidt & Horst Zank, 2008. "Risk Aversion in Cumulative Prospect Theory," Management Science, INFORMS, vol. 54(1), pages 208-216, January.
    19. George Wu & Alex B. Markle, 2008. "An Empirical Test of Gain-Loss Separability in Prospect Theory," Management Science, INFORMS, vol. 54(7), pages 1322-1335, July.
    20. Medeiros, Cristina Pereira & da Silva, Lucas Borges Leal & Alencar, Marcelo Hazin & de Almeida, Adiel Teixeira, 2021. "A new method for managing multidimensional risks in Natural Gas Pipelines based on non-Expected Utility," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    21. Amélie Vrijdags, 2013. "Min- and Max-induced rankings: an experimental study," Theory and Decision, Springer, vol. 75(2), pages 233-266, August.

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