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Collective Brand Reputation

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  • Nocke, Volker
  • Strausz, Roland

Abstract

We develop a theory of collective brand reputation for markets in which product quality is jointly determined by local and global players. In a repeated game of imperfect public monitoring, we model collective branding as a pooling of quality signals generated in different markets. Such pooling yields a beneficial informativeness effect for the actions of a global player present in all markets, but also harmful free-riding by local, market-specific players. The resulting tradeoff yields a theory of optimal brand size and revenue sharing, applying to platform markets, franchising, licensing, umbrella branding, and firms with team production.

Suggested Citation

  • Nocke, Volker & Strausz, Roland, 2021. "Collective Brand Reputation," CEPR Discussion Papers 15732, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:15732
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    References listed on IDEAS

    as
    1. Jean Tirole, 1996. "A Theory of Collective Reputations (with applications to the persistence of corruption and to firm quality)," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(1), pages 1-22.
    2. Matsushima, Hitoshi, 2001. "Multimarket Contact, Imperfect Monitoring, and Implicit Collusion," Journal of Economic Theory, Elsevier, vol. 98(1), pages 158-178, May.
    3. Blair,Roger D. & Lafontaine,Francine, 2011. "The Economics of Franchising," Cambridge Books, Cambridge University Press, number 9780521775892.
    4. Biscarri, William & Zhao, Sihai Dave & Brunner, Robert J., 2018. "A simple and fast method for computing the Poisson binomial distribution function," Computational Statistics & Data Analysis, Elsevier, vol. 122(C), pages 92-100.
    5. Sridhar Moorthy, 2012. "Can Brand Extension Signal Product Quality?," Marketing Science, INFORMS, vol. 31(5), pages 756-770, September.
    6. Chris Nosko & Steven Tadelis, 2015. "The Limits of Reputation in Platform Markets: An Empirical Analysis and Field Experiment," NBER Working Papers 20830, National Bureau of Economic Research, Inc.
    7. Roy Radner & Roger Myerson & Eric Maskin, 1986. "An Example of a Repeated Partnership Game with Discounting and with Uniformly Inefficient Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(1), pages 59-69.
    8. Abreu, Dilip & Pearce, David & Stacchetti, Ennio, 1990. "Toward a Theory of Discounted Repeated Games with Imperfect Monitoring," Econometrica, Econometric Society, vol. 58(5), pages 1041-1063, September.
    9. Cabral, Luís M.B., 2009. "Umbrella branding with imperfect observability and moral hazard," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 206-213, March.
    10. Mailath, George J. & Samuelson, Larry, 2006. "Repeated Games and Reputations: Long-Run Relationships," OUP Catalogue, Oxford University Press, number 9780195300796.
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    More about this item

    Keywords

    Collective branding; Reputation; Free riding; Repeated games; Imperfect monitoring;
    All these keywords.

    JEL classification:

    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • D20 - Microeconomics - - Production and Organizations - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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