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Reputation formation in economic transactions

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  • Abraham, Martin
  • Grimm, Veronika
  • Neeß, Christina
  • Seebauer, Michael

Abstract

We investigate patterns of information transmission and the evolution of behaviour in standard trust games where reputational information can be exchanged between individual agents within a population, but does not become public. We vary the nature of information that could be transmitted (either a subjective rating or the objective details of a transaction), as well as the cost of information transmission (either zero or positive). We find that information transmission is heavily used if it is costless but only moderately if it has positive cost. Objective information effectively increases the average amount sent in the trust game (and thus, efficiency and average profits) as well as the return rate only if transmission is costless and therefore is heavily used. Subjective information (a rating) only increases transfer and return rates in a control treatment where it becomes publicly available, but not for private communication. A detailed analysis of the determinants of information transmission shows a positive influence of (a) the transfer made to a receiver, (b) experience of exploitation, and (c) points to reciprocity in information transmission.

Suggested Citation

  • Abraham, Martin & Grimm, Veronika & Neeß, Christina & Seebauer, Michael, 2016. "Reputation formation in economic transactions," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 1-14.
  • Handle: RePEc:eee:jeborg:v:121:y:2016:i:c:p:1-14
    DOI: 10.1016/j.jebo.2015.10.010
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    Cited by:

    1. Annika Veh & Markus Göbel & Rick Vogel, 2019. "Corporate reputation in management research: a review of the literature and assessment of the concept," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 315-353, December.
    2. Simone Righi & Károly Takács, 2022. "Gossip: Perspective Taking to Establish Cooperation," Dynamic Games and Applications, Springer, vol. 12(4), pages 1086-1100, December.
    3. Kenju Kamei & Louis Putterman, 2018. "Reputation Transmission Without Benefit To The Reporter: A Behavioral Underpinning Of Markets In Experimental Focus," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 158-172, January.
    4. Fehr, Dietmar & Sutter, Matthias, 2019. "Gossip and the efficiency of interactions," Games and Economic Behavior, Elsevier, vol. 113(C), pages 448-460.
    5. Roman Hoffmann & Bernhard Kittel & Mattias Larsen, 2021. "Information exchange in laboratory markets: competition, transfer costs, and the emergence of reputation," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 118-142, March.
    6. Sascha Behnk & Iván Barreda-Tarrazona & Aurora García-Gallego, 2017. "An experimental test of reporting systems for deception," Working Papers 2017/11, Economics Department, Universitat Jaume I, Castellón (Spain).
    7. Greiff, Matthias & Paetzel, Fabian, 2016. "Second-order beliefs in reputation systems with endogenous evaluations – an experimental study," Games and Economic Behavior, Elsevier, vol. 97(C), pages 32-43.
    8. Kenju Kamei & Artem Nesterov, 2020. "Endogenous Monitoring through Gossiping in an Infinitely Repeated Prisoner’s Dilemma Game: Experimental Evidence," Working Papers 2020_02, Durham University Business School.
    9. Behnk, Sascha & Barreda-Tarrazona, Iván & García-Gallego, Aurora, 2019. "Deception and reputation – An experimental test of reporting systems," Journal of Economic Psychology, Elsevier, vol. 71(C), pages 37-58.
    10. Greiff, Matthias & Paetzel, Fabian, 2020. "Information about average evaluations spurs cooperation: An experiment on noisy reputation systems," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 334-356.
    11. Keser, Claudia & Späth, Maximilian, 2020. "The value of bad ratings: An experiment on the impact of distortions in reputation systems," University of Göttingen Working Papers in Economics 389, University of Goettingen, Department of Economics.
    12. Vincenz Frey, 2017. "Boosting trust by facilitating communication: A model of trustee investments in information sharing," Rationality and Society, , vol. 29(4), pages 471-503, November.
    13. Fonseca, Miguel A. & Peters, Kim, 2018. "Will any gossip do? Gossip does not need to be perfectly accurate to promote trust," Games and Economic Behavior, Elsevier, vol. 107(C), pages 253-281.
    14. Zou, Wenbo & Wang, Jinjie & Yan, Jubo, 2022. "Online markets and trust," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 395-412.
    15. Keser, Claudia & Späth, Maximilian, 2021. "The value of bad ratings: An experiment on the impact of distortions in reputation systems," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    16. Sofianos, Andis, 2022. "Self-reported & revealed trust: Experimental evidence," Journal of Economic Psychology, Elsevier, vol. 88(C).

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    More about this item

    Keywords

    Reputation formation; Trust game; Reciprocity; Experiments;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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