IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/ew2sx.html
   My bibliography  Save this paper

Are risk preferences optimal?

Author

Listed:
  • Skjold, Benjamin
  • Steinkamp, Simon Richard
  • Hulme, Oliver J
  • Peters, Ole
  • Connaughton, Colm

Abstract

Decision theories commonly assume that risk preferences are idiosyncratic but stable over time. A recent model from ergodicity economics reveals that optimising the growth rate of wealth requires individuals to adjust their risk preferences to wealth dynamics. Here we ask whether humans are capable of such adjustments. In a randomised control trial, participants will make risky decisions under additive and multiplicative dynamics. We will estimate risk preferences separately in the two conditions for each participant by fitting isoelastic utility functions via hierarchical Bayesian models and standard regression techniques. Growth optimal adjustments to risk preferences would confirm our main hypothesis, whereas risk preferences that are stable across conditions would disconfirm it. Pilot data from 11 participants revealed strong evidence supporting the main hypothesis. We will replicate this pilot in a pre-registered experiment with up to 150 participants.

Suggested Citation

  • Skjold, Benjamin & Steinkamp, Simon Richard & Hulme, Oliver J & Peters, Ole & Connaughton, Colm, 2023. "Are risk preferences optimal?," OSF Preprints ew2sx, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:ew2sx
    DOI: 10.31219/osf.io/ew2sx
    as

    Download full text from publisher

    File URL: https://osf.io/download/64f994596c0f5a36e6d05963/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/ew2sx?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Victor Haghani & Richard Dewey, 2017. "Rational Decision-Making Under Uncertainty: Observed Betting Patterns on a Biased Coin," Papers 1701.01427, arXiv.org.
    2. Menezes, C F & Hanson, D L, 1970. "On the Theory of Risk Aversion," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 11(3), pages 481-487, October.
    3. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60(2), pages 151-151.
    4. Glenn W. Harrison & E. Elisabet Rutström, 2008. "Risk Aversion in the Laboratory," Research in Experimental Economics, in: Risk Aversion in Experiments, pages 41-196, Emerald Group Publishing Limited.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fidanoski, Filip & Johnson, Timothy, 2023. "A z-Tree implementation of the Dynamic Experiments for Estimating Preferences [DEEP] method," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    2. Alfonso, Antonio & Brañas-Garza, Pablo & Jorrat, Diego & Lomas, Pablo & Prissé, Benjamin & Vasco, Mónica & Vázquez-De Francisco, María J., 2023. "The adventure of running experiments with teenagers," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
    3. Auriol, Emmanuelle & Delissaint, Diego & Fourati, Maleke & Miquel-Florensa, Josepa & Seabright, Paul, 2021. "Betting on the lord: Lotteries and religiosity in Haiti," World Development, Elsevier, vol. 144(C).
    4. Skjold, Benjamin & Steinkamp, Simon Richard & Connaughton, Colm & Hulme, Oliver J & Peters, Ole, 2024. "Ergodicity transformations predict human decision-making under risk," OSF Preprints c96yd, Center for Open Science.
    5. Kpegli, Yao Thibaut & Corgnet, Brice & Zylbersztejn, Adam, 2023. "All at once! A comprehensive and tractable semi-parametric method to elicit prospect theory components," Journal of Mathematical Economics, Elsevier, vol. 104(C).
    6. Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023. "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 273-303, April.
    7. Geng, Kexin & Wang, Yacan & Cherchi, Elisabetta & Guarda, Pablo, 2023. "Commuter departure time choice behavior under congestion charge: Analysis based on cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    8. Luca Congiu, 2023. "Framing Effects in the Elicitation of Risk Aversion: An Experimental Study," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 321-352, March.
    9. Tsang, Ming, 2022. "Risk perception in an endogenous information environment," Research in Economics, Elsevier, vol. 76(4), pages 355-372.
    10. Villacis, Alexis H., 2023. "Inconsistent choices over prospect theory lottery games: Evidence from field experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    11. Bocquého, Géraldine & Deschamps, Marc & Helstroffer, Jenny & Jacob, Julien & Joxhe, Majlinda, 2023. "Modelling refugee migration under cognitive biases: Experimental evidence and policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    12. Watanabe, Masahide & Fujimi, Toshio, 2022. "Ambiguity of scientific probability predictions and willingness-to-pay for climate change mitigation policies," Research in Economics, Elsevier, vol. 76(4), pages 386-402.
    13. Drouvelis, Michalis & Pearce, Graeme, 2023. "Leadership under the shadow of the future: Intelligence and strategy choice in infinitely repeated games," European Economic Review, Elsevier, vol. 152(C).
    14. Estepa-Mohedano, Lorenzo & Espinosa, María Paz, 2023. "Comparing risk elicitation in lotteries with visual or contextual aids," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    15. Timo Goeschl & Marcel Oestreich & Alice Soldà, 2023. "Compliance and Truthfulness: Leveraging Peer Information with Competitive Audit Mechanisms," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(4), pages 947-979.
    16. Collier, Trevor & Cotten, Stephen & Roush, Justin, 2022. "Using pandemic behavior to test the external validity of laboratory measurements of risk aversion and guilt," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    17. Géraldine Bocquého & Julien Jacob & Marielle Brunette, 2023. "Prospect theory in multiple price list experiments: further insights on behaviour in the loss domain," Theory and Decision, Springer, vol. 94(4), pages 593-636, May.
    18. Christoph Duden & Oliver Mußhoff & Frank Offermann, 2023. "Dealing with low‐probability shocks: The role of selected heuristics in farmers’ risk management decisions," Agricultural Economics, International Association of Agricultural Economists, vol. 54(3), pages 382-399, May.
    19. Jack, B. Kelsey & McDermott, Kathryn & Sautmann, Anja, 2022. "Multiple price lists for willingness to pay elicitation," Journal of Development Economics, Elsevier, vol. 159(C).
    20. Emin Karagözoğlu & Ümit Barış Urhan, 2017. "The Effect of Stake Size in Experimental Bargaining and Distribution Games: A Survey," Group Decision and Negotiation, Springer, vol. 26(2), pages 285-325, March.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:ew2sx. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.