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Prospect theory in experiments : behaviour in loss domain and framing effects

Author

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  • Géraldine Bocquého

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Julien Jacob

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Marielle Brunette

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CEC - Chaire Economie du Climat - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

Abstract

In the original specification of cumulative prospect theory, distinct sets of parameters control for the curvature of the value function and the shape of the probability weighting function. There is one for the gain domain and one for the loss domain. However, in most estimations, behaviour over losses is assumed to perfectly reflect behaviour over gains, through a unique set of parameters. We examine the consequences of relaxing this simplifying assumption in the context of Tanaka et al.'s (2010) risk-experiment procedure. On the one hand, we show that subjects' behaviour for gains is mostly reflected for losses at the aggregate and individual levels, and is consistent with the cumulative prospect theory fourfold pattern. However reflection is partial as the mean curvature of the value function is slightly less convex for losses than it is concave for gains. These results are robust to a high-stake context. Then, we demonstrate that assuming reflection when measuring loss aversion is innocuous neither at the aggregate nor at the individual level. On the other hand, we highlight the existence of a strong, negative and persistent framing effect on values elicited for loss aversion.

Suggested Citation

  • Géraldine Bocquého & Julien Jacob & Marielle Brunette, 2020. "Prospect theory in experiments : behaviour in loss domain and framing effects," Working Papers hal-02987294, HAL.
  • Handle: RePEc:hal:wpaper:hal-02987294
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02987294
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    1. Antoni Bosch-Domènech & Joaquim Silvestre, 2013. "Measuring risk aversion with lists: a new bias," Theory and Decision, Springer, vol. 75(4), pages 465-496, October.
    2. WilliamT Harbaugh & Kate Krause & Lise Vesterlund, 2010. "The Fourfold Pattern of Risk Attitudes in Choice and Pricing Tasks," Economic Journal, Royal Economic Society, vol. 120(545), pages 595-611, June.
    3. John C. Hershey & Howard C. Kunreuther & Paul J. H. Schoemaker, 1982. "Sources of Bias in Assessment Procedures for Utility Functions," Management Science, INFORMS, vol. 28(8), pages 936-954, August.
    4. Adam Booij & Bernard Praag & Gijs Kuilen, 2010. "A parametric analysis of prospect theory’s functionals for the general population," Theory and Decision, Springer, vol. 68(1), pages 115-148, February.
    5. 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.
    6. Douadia Bougherara & Xavier Gassmann & Laurent Piet & Arnaud Reynaud, 2017. "Corrigendum: Structural estimation of farmers’ risk and ambiguity preferences: a field experiment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(5), pages 809-809.
    7. 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.
    8. Géraldine Bocquého & Florence Jacquet & Arnaud Reynaud, 2014. "Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(1), pages 135-172, February.
    9. Booij, Adam S. & van de Kuilen, Gijs, 2009. "A parameter-free analysis of the utility of money for the general population under prospect theory," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 651-666, August.
    10. Géraldine Bocquého & Marc Deschamps & Jenny Helstroffer & Majlinda Joxhe, 2018. "Risk and Refugee Migration," DEM Discussion Paper Series 18-08, Department of Economics at the University of Luxembourg.
    11. Arnaud Reynaud & Stéphane Couture, 2012. "Stability of risk preference measures: results from a field experiment on French farmers," Theory and Decision, Springer, vol. 73(2), pages 203-221, August.
    12. Charles A. Holt & Susan K. Laury, 2005. "Risk Aversion and Incentive Effects: New Data without Order Effects," American Economic Review, American Economic Association, vol. 95(3), pages 902-912, June.
    13. Peter Wakker & Daniel Deneffe, 1996. "Eliciting von Neumann-Morgenstern Utilities When Probabilities Are Distorted or Unknown," Management Science, INFORMS, vol. 42(8), pages 1131-1150, August.
    14. Bruce A. Babcock, 2015. "Using Cumulative Prospect Theory to Explain Anomalous Crop Insurance Coverage Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1371-1384.
    15. repec:hal:spmain:info:hdl:2441/6mekga2ph18vda5qbuop2ckgkn is not listed on IDEAS
    16. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    17. Helga Fehr-Duda & Adrian Bruhin & Thomas Epper & Renate Schubert, 2010. "Rationality on the rise: Why relative risk aversion increases with stake size," Journal of Risk and Uncertainty, Springer, vol. 40(2), pages 147-180, April.
    18. Marc Scholten & Daniel Read, 2014. "Prospect theory and the “forgotten” fourfold pattern of risk preferences," Journal of Risk and Uncertainty, Springer, vol. 48(1), pages 67-83, February.
    19. Fennema, Hein & van Assen, Marcel, 1998. "Measuring the Utility of Losses by Means of the Tradeoff Method," Journal of Risk and Uncertainty, Springer, vol. 17(3), pages 277-295, December.
    20. Nathalie Etchart-Vincent, 2004. "Is Probability Weighting Sensitive to the Magnitude of Consequences? An Experimental Investigation on Losses," Journal of Risk and Uncertainty, Springer, vol. 28(3), pages 217-235, May.
    21. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    22. 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..
    23. Peter Wakker & Veronika Köbberling & Christiane Schwieren, 2007. "Prospect-theory’s Diminishing Sensitivity Versus Economics’ Intrinsic Utility of Money: How the Introduction of the Euro can be Used to Disentangle the Two Empirically," Theory and Decision, Springer, vol. 63(3), pages 205-231, November.
    24. Catherine C. Eckel & Philip J. Grossman, 2008. "Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices," Monash Economics Working Papers archive-01, Monash University, Department of Economics.
    25. Nguyen, Quang & Leung, PingSun, 2009. "Do Fishermen Have Different Attitudes Toward Risk? An Application of Prospect Theory to the Study of Vietnamese Fishermen," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(3), pages 1-21, December.
    26. Ranoua Bouchouicha & Ferdinand M. Vieider, 2017. "Accommodating stake effects under prospect theory," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 1-28, August.
    27. Shuoli Zhao & Chengyan Yue, 2020. "Risk preferences of commodity crop producers and specialty crop producers: An application of prospect theory," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 359-372, May.
    28. Helga Fehr-Duda & Manuele Gennaro & Renate Schubert, 2006. "Gender, Financial Risk, and Probability Weights," Theory and Decision, Springer, vol. 60(2), pages 283-313, May.
    29. Antoni Bosch-Domènech & Joaquim Silvestre, 2006. "Reflections on gains and losses: A 2 × 2 × 7 experiment," Journal of Risk and Uncertainty, Springer, vol. 33(3), pages 217-235, December.
    30. Mohammed Abdellaoui & Han Bleichrodt & Corina Paraschiv, 2007. "Loss Aversion Under Prospect Theory: A Parameter-Free Measurement," Management Science, INFORMS, vol. 53(10), pages 1659-1674, October.
    31. Cohen, Michele & Jaffray, Jean-Yves & Said, Tanios, 1987. "Experimental comparison of individual behavior under risk and under uncertainty for gains and for losses," Organizational Behavior and Human Decision Processes, Elsevier, vol. 39(1), pages 1-22, February.
    32. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    33. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    34. Olivier l'Haridon & Ferdinand M. Vieider, 2019. "All over the map: A worldwide comparison of risk preferences," Quantitative Economics, Econometric Society, vol. 10(1), pages 185-215, January.
    35. Grinblatt, Mark & Han, Bing, 2005. "Prospect theory, mental accounting, and momentum," Journal of Financial Economics, Elsevier, vol. 78(2), pages 311-339, November.
    36. Campos-Vazquez, Raymundo M. & Cuilty, Emilio, 2014. "The role of emotions on risk aversion: A Prospect Theory experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 50(C), pages 1-9.
    37. Douadia Bougherara & Xavier Gassmann & Laurent Piet & Arnaud Reynaud, 2017. "Structural estimation of farmers’ risk and ambiguity preferences: a field experiment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(5), pages 782-808.
    38. Glenn Harrison & E. Rutström, 2009. "Expected utility theory and prospect theory: one wedding and a decent funeral," Experimental Economics, Springer;Economic Science Association, vol. 12(2), pages 133-158, June.
    39. Kuhberger, Anton & Schulte-Mecklenbeck, Michael & Perner, Josef, 1999. "The Effects of Framing, Reflection, Probability, and Payoff on Risk Preference in Choice Tasks, ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 78(3), pages 204-231, June.
    40. Golo-Friedrich Bauermeister & Daniel Hermann & Oliver Musshoff, 2018. "Consistency of determined risk attitudes and probability weightings across different elicitation methods," Theory and Decision, Springer, vol. 84(4), pages 627-644, June.
    41. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    42. Babcock, Bruce, 2015. "Using Prospect Theory to Explain Anomalous Crop Insurance Coverage Choice," 2015 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2015, Boston, Massachusetts 189682, Agricultural and Applied Economics Association.
    43. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    44. Géraldine Bocquého & Marc Deschamps & Jenny Helstroffer & Julien Jacob & Majlinda Joxhe, 2018. "Risk and refugee migration," Working Papers hal-02788767, HAL.
    45. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
    46. Schmidt, Ulrich & Traub, Stefan, 2002. "An Experimental Test of Loss Aversion," Journal of Risk and Uncertainty, Springer, vol. 25(3), pages 233-249, November.
    47. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
    48. Sabine Liebenehm & Hermann Waibel, 2014. "Simultaneous Estimation of Risk and Time Preferences among Small-scale Cattle Farmers in West Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1420-1438.
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    More about this item

    Keywords

    Risk preferences; Tanaka-Camerer-Nguyenmethod; Probability weighting; Loss aversion; Reflected behaviour;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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