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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

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    References listed on IDEAS

    as
    1. 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.
    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. 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.
    4. Antonio Filippin & Paolo Crosetto, 2016. "A Reconsideration of Gender Differences in Risk Attitudes," Management Science, INFORMS, vol. 62(11), pages 3138-3160, November.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    replication; information preferences; skewness; information avoidance;
    All these keywords.

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