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Does players’ identification affect trust and reciprocity in the lab?

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  • Dimitri Dubois

    (LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Marc Willinger

    (LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Thierry Blayac

    (LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

Abstract

Reputation mechanisms are mainly based on information sharing by traders about private trading experience. Each trader can therefore rely on his own past experience as a trader and on other traders' past experience. The former is the direct component of the reputation mechanism and the latter the indirect component (Bolton et al., 2004a and Bolton et al., 2004b). We design an experiment for isolating the direct component of the reputation system and studying its effect on the level of trust and reciprocity in a population where agents play both roles (trustor and trustee). Our experiment consists on three treatments of a finitely repeated investment game (Berg, Dickhaut, & McCabe, 1995). In the reference treatment there is no reputation mechanism at all, in treatment 1 trustees can build up a direct reputation, and in treatment two players can build up a direct reputation for both roles. We find that trustees' direct reputation has a positive effect on reciprocity, but does not affect the average trust in the population. Trust is significantly higher only when players can build up a reputation in both roles. We show that the increase in trust is mainly linked to the formation of mutual trust–reciprocity relations.

Suggested Citation

  • Dimitri Dubois & Marc Willinger & Thierry Blayac, 2012. "Does players’ identification affect trust and reciprocity in the lab?," Post-Print hal-01923413, HAL.
  • Handle: RePEc:hal:journl:hal-01923413
    DOI: 10.1016/j.joep.2011.09.012
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    References listed on IDEAS

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    1. Kreps, David M. & Milgrom, Paul & Roberts, John & Wilson, Robert, 1982. "Rational cooperation in the finitely repeated prisoners' dilemma," Journal of Economic Theory, Elsevier, vol. 27(2), pages 245-252, August.
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    7. David Lucking‐Reiley & Doug Bryan & Naghi Prasad & Daniel Reeves, 2007. "Pennies From Ebay: The Determinants Of Price In Online Auctions," Journal of Industrial Economics, Wiley Blackwell, vol. 55(2), pages 223-233, June.
    8. Iris Bohnet & Steffen Huck, 2004. "Repetition and Reputation: Implications for Trust and Trustworthiness When Institutions Change," American Economic Review, American Economic Association, vol. 94(2), pages 362-366, May.
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    11. Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 353-369, June.
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    Cited by:

    1. Weber, Martin & Germann, Maximilian & Loos, Benjamin, 2018. "Trust and Delegated Investing: A Money Doctors Experiment," CEPR Discussion Papers 12984, C.E.P.R. Discussion Papers.
    2. Bogliacino, Francesco & Codagnone, Cristiano, 2021. "Microfoundations, behaviour, and evolution: Evidence from experiments," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 372-385.
    3. Kas, Judith & Delnoij, Joyce & Corten, Rense & Parigi, Paolo, 2022. "Trust spillovers in the sharing economy: Does international Airbnb experience foster cross‐national trust?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 21(3), pages 509-522.
    4. Francesco Bogliacino & Laura Jiménez & Gianluca Grimalda, 2015. "Consultative, Democracy and Trust," Documentos de Trabajo, Escuela de Economía 12696, Universidad Nacional de Colombia, FCE, CID.
    5. Kas, Judith, 2022. "The effect of online reputation systems on intergroup inequality," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    6. Bogliacino, Francesco & Jiménez Lozano, Laura & Grimalda, Gianluca, 2018. "Consultative democracy and trust11We thank Vanessa Carrillo, Jairo Paéz and Daniel Reyes for their help during the experiments. A special thanks to Franci Beltrán, Jairo Paéz and Alfonso Peña for prov," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 55-67.
    7. Bogliacino, Francesco & Grimalda, Gianluca & Jimenez, Laura, 2017. "Consultative Democracy & Trust," MPRA Paper 82138, University Library of Munich, Germany.
    8. Kas, Judith & Corten, Rense & van de Rijt, Arnout, 2022. "The role of reputation systems in digital discrimination," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20(4), pages 1905-1932.
    9. Kas, Judith, 2022. "The effect of online reputation systems on intergroup inequality," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 96, pages 1-1.

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    More about this item

    Keywords

    experimental economics; investment game; population; reciprocity; repeated game; reputation; trust;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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