IDEAS home Printed from https://ideas.repec.org/p/zbw/i4rdps/255.html
   My bibliography  Save this paper

Replication Report of "Belief Elicitation and Behavioral Incentive Compatibility" by Danz, Vesterlund, and Wilson (2022)

Author

Listed:
  • Agyeah, George
  • Samad, Zeeshan
  • Drujano-Ochoa, Dario

Abstract

This study replicates and extends the analysis of belief elicitation methods conducted by Danz et al. (2022). The original paper scrutinizes the binarized scoring rule (BSR) method and its effectiveness in incentivizing truthful reporting. Using data from the original controlled laboratory experiments conducted at the Pittsburgh Experimental Economics Laboratory (PEEL), this replication investigates the impact of varying levels of information about incentives on belief reporting accuracy. The findings of the replication confirm systematic biases in belief reporting, particularly a center-bias effect, challenging the behavioral incentive compatibility of the BSR method. Robustness checks further confirm the generalizability of these results across different settings and belief elicitation tasks. These findings underscore the need for improved methodologies that ensure both theoretical and behavioral incentive compatibility in belief elicitation.

Suggested Citation

  • Agyeah, George & Samad, Zeeshan & Drujano-Ochoa, Dario, 2025. "Replication Report of "Belief Elicitation and Behavioral Incentive Compatibility" by Danz, Vesterlund, and Wilson (2022)," I4R Discussion Paper Series 255, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:255
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/324166/1/I4R-DP255.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tanjim Hossain & Ryo Okui, 2013. "The Binarized Scoring Rule," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 984-1001.
    2. David Danz & Lise Vesterlund & Alistair J. Wilson, 2022. "Belief Elicitation and Behavioral Incentive Compatibility," American Economic Review, American Economic Association, vol. 112(9), pages 2851-2883, 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. Aycinena, Diego & Bogliacino, Francesco & Kimbrough, Erik O., 2024. "Measuring norms: Assessing the threat of social desirability bias to the Bicchieri and Xiao elicitation method," Journal of Economic Behavior & Organization, Elsevier, vol. 222(C), pages 225-239.
    2. Burro, Giovanni & Castagnetti, Alessandro, 2024. "The ego is no fool: Absence of motivated belief formation in strategic interactions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
    3. Ahrens, Steffen & Bosch-Rosa, Ciril, 2023. "Motivated beliefs, social preferences, and limited liability in financial decision-Making," Journal of Banking & Finance, Elsevier, vol. 154(C).
    4. Kinnl, Klara & Möller, Jakob & Walter, Anna, 2023. "Borrowed Plumes:: The Gender Gap in Claiming Credit for Teamwork," Department of Economics Working Paper Series 345, WU Vienna University of Economics and Business.
    5. Stephen L. Cheung & Lachlan Johnstone, 2025. "True overconfidence, revealed through actions: An experiment," Journal of Risk and Uncertainty, Springer, vol. 70(2), pages 171-199, April.
    6. Lina Lozano & Ernesto Reuben, 2022. "Measuring Preferences for Competition," Working Papers 20220078, New York University Abu Dhabi, Department of Social Science, revised Aug 2022.
    7. Gangadharan, Lata & Grossman, Philip J. & Xue, Nina, 2024. "Belief elicitation under competing motivations: Does it matter how you ask?," European Economic Review, Elsevier, vol. 169(C).
    8. Charlotte Cordes & Jana Friedrichsen & Simeon Schudy, 2023. "Motivated Procrastination," Rationality and Competition Discussion Paper Series 471, CRC TRR 190 Rationality and Competition.
    9. Marco Mantovani & Antonio Filippin, 2024. "When do prediction markets return average beliefs? Experimental evidence," Working Papers 532, University of Milano-Bicocca, Department of Economics.
    10. Jan Feld & Edwin Ip & Andreas Leibbrandt & Joseph Vecci, 2022. "Identifying and Overcoming Gender Barriers in Tech: A Field Experiment on Inaccurate Statistical Discrimination," CESifo Working Paper Series 9970, CESifo.
    11. Malte Baader & Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "Social preferences and the variability of conditional cooperation," Discussion Papers 2022-13, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    12. Klara Kinnl & Jakob Möller & Anna Walter, 2023. "The Gender Gap in Claiming Credit for Teamwork," Department of Economics Working Papers wuwp345, Vienna University of Economics and Business, Department of Economics.
    13. Lata Gangadharan & Philip J. Grossman & Nina Xue, 2022. "Stepping Stone: Identifying self-image concerns from motivated beliefs: Does it matter how and whom you ask?," Monash Economics Working Papers 2022-05, Monash University, Department of Economics.
    14. Canen, Nathan & Chakraborty, Anujit, 2023. "Belief elicitation in political protest experiments: When the mode does not teach us about incentives to protest," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 320-331.
    15. Enke, Benjamin & Schwerter, Frederik & Zimmermann, Florian, 2024. "Associative memory, beliefs and market interactions," Journal of Financial Economics, Elsevier, vol. 157(C).
    16. Kinnl, Klara & Möller, Jakob & Walter, Anna, 2023. "Borrowed Plumes: The Gender Gap in Claiming Credit for Teamwork," Department for Strategy and Innovation Working Paper Series 01/2023, WU Vienna University of Economics and Business.
    17. Francesco Bripi & Daniela Grieco, 2023. "Participatory incentives," Experimental Economics, Springer;Economic Science Association, vol. 26(4), pages 813-849, September.
    18. Wenbo Zou & Xue Xu, 2023. "Ingroup bias in a social learning experiment," Experimental Economics, Springer;Economic Science Association, vol. 26(1), pages 27-54, March.
    19. Alexander Coutts & Boon Han Koh & Zahra Murad, 2024. "The signals we give: Performance feedback, gender, and competition," Working Papers in Economics & Finance 2024-02, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    20. Deversi, Marvin & Ispano, Alessandro & Schwardmann, Peter, 2021. "Spin doctors: An experiment on vague disclosure," European Economic Review, Elsevier, vol. 139(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    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:255. 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.