IDEAS home Printed from https://ideas.repec.org/p/zbw/i4rdps/164.html
   My bibliography  Save this paper

A Computational Reproduction of "Intrinsic Information Preferences and Skewness" by Masatlioglu, Orhun and Raymond (2023)

Author

Listed:
  • Gauriot, Romain
  • Liu, Yang
  • McLaughlin, Jack
  • Miller, Joshua B.

Abstract

Masatlioglu et al. (2023) show a strong intrinsic preference for positively skewed information over negatively skewed information through three laboratory and two field experiments. Using the provided replication package, we successfully computationally reproduce these results. Additionally, we test the robustness of the findings by employing alternative statistical tests, which confirmed the original conclusions. We also make minor comments about the paper that may be useful to researchers building on Masatlioglu et al. (2023)'s work.

Suggested Citation

  • Gauriot, Romain & Liu, Yang & McLaughlin, Jack & Miller, Joshua B., 2024. "A Computational Reproduction of "Intrinsic Information Preferences and Skewness" by Masatlioglu, Orhun and Raymond (2023)," I4R Discussion Paper Series 164, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:164
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/303902/1/I4R-DP164.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charness, Gary & Gneezy, Uri & Imas, Alex, 2013. "Experimental methods: Eliciting risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 43-51.
    2. Steffen Andersen & Glenn Harrison & Morten Lau & E. Rutström, 2009. "Elicitation using multiple price list formats," Experimental Economics, Springer;Economic Science Association, vol. 12(3), pages 365-366, September.
    3. Antonio Filippin & Paolo Crosetto, 2016. "A Reconsideration of Gender Differences in Risk Attitudes," Management Science, INFORMS, vol. 62(11), pages 3138-3160, November.
    4. 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.
    5. Paolo Crosetto & Antonio Filippin, 2016. "A theoretical and experimental appraisal of four risk elicitation methods," Experimental Economics, Springer;Economic Science Association, vol. 19(3), pages 613-641, September.
    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. Ranganathan, Kavitha & Lejarraga, Tomás, 2021. "Elicitation of risk preferences through satisficing," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    2. Anwesha Bandyopadhyay & Lutfunnahar Begum & Philip J. Grossman, 2021. "Gender differences in the stability of risk attitudes," Journal of Risk and Uncertainty, Springer, vol. 63(2), pages 169-201, October.
    3. Tamás Csermely & Alexander Rabas, 2016. "How to reveal people’s preferences: Comparing time consistency and predictive power of multiple price list risk elicitation methods," Journal of Risk and Uncertainty, Springer, vol. 53(2), pages 107-136, December.
    4. Giuseppe Attanasi & Nikolaos Georgantzís & Valentina Rotondi & Daria Vigani, 2018. "Lottery- and survey-based risk attitudes linked through a multichoice elicitation task," Theory and Decision, Springer, vol. 84(3), pages 341-372, May.
    5. Alejandro Arrieta & Ariadna García‐Prado & Paula González & José Luis Pinto‐Prades, 2017. "Risk attitudes in medical decisions for others: An experimental approach," Health Economics, John Wiley & Sons, Ltd., vol. 26(S3), pages 97-113, December.
    6. Menkhoff, Lukas & Sakha, Sahra, 2017. "Estimating risky behavior with multiple-item risk measures," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 59-86.
    7. Andrea Hackethal & Michael Kirchler & Christine Laudenbach & Michael Razen & Annika Weber, 2020. "On the role of monetary incentives in risk preference elicitation experiments," Working Papers 2020-29, Faculty of Economics and Statistics, Universität Innsbruck.
    8. Colasante, Annarita & Marini, Matteo M. & Russo, Alberto, 2017. "Incidental emotions and risk-taking: An experimental analysis," MPRA Paper 76992, University Library of Munich, Germany.
    9. Kiss, Hubert J. & Kóczy, László Á. & Pintér, Ágnes & Sziklai, Balázs R., 2022. "Does risk sorting explain overpricing in experimental asset markets?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    10. Michele Garagnani, 2023. "The predictive power of risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 165-192, October.
    11. Andreas Hackethal & Michael Kirchler & Christine Laudenbach & Michael Razen & Annika Weber, 2023. "On the role of monetary incentives in risk preference elicitation experiments," Journal of Risk and Uncertainty, Springer, vol. 66(2), pages 189-213, April.
    12. Gary Charness & Catherine Eckel & Uri Gneezy & Agne Kajackaite, 2018. "Complexity in risk elicitation may affect the conclusions: A demonstration using gender differences," Journal of Risk and Uncertainty, Springer, vol. 56(1), pages 1-17, February.
    13. 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.
    14. repec:cup:judgdm:v:14:y:2019:i:3:p:234-279 is not listed on IDEAS
    15. Holzmeister, Felix, 2017. "oTree: Ready-made apps for risk preference elicitation methods," Journal of Behavioral and Experimental Finance, Elsevier, vol. 16(C), pages 33-38.
    16. Wu, Haixia & Ge, Yan & Li, Jianping, 2023. "Uncertainty, time preference and households’ adoption of rooftop photovoltaic technology," Energy, Elsevier, vol. 276(C).
    17. Zack Dorner & Daniel A. Brent & Anke Leroux, 2019. "Preferences for Intrinsically Risky Attributes," Land Economics, University of Wisconsin Press, vol. 95(4), pages 494-514.
    18. Holzmeister, Felix & Stefan, Matthias, 2019. "The Risk Elicitation Puzzle Revisited: Across-Methods (In)consistency?," OSF Preprints pj9u2, Center for Open Science.
    19. Gary Charness & Thomas Garcia & Theo Offerman & Marie Claire Villeval, 2020. "Do measures of risk attitude in the laboratory predict behavior under risk in and outside of the laboratory?," Journal of Risk and Uncertainty, Springer, vol. 60(2), pages 99-123, April.
    20. Andreoni, James & Di Girolamo, Amalia & List, John A. & Mackevicius, Claire & Samek, Anya, 2020. "Risk preferences of children and adolescents in relation to gender, cognitive skills, soft skills, and executive functions," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 729-742.
    21. Ola Andersson & Håkan J. Holm & Jean-Robert Tyran & Erik Wengström, 2020. "Robust inference in risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 61(3), pages 195-209, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:zbw:i4rdps:164. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.i4replication.org/ .

    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.