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Manipulation of Cursed Beliefs in Online Reviews

Author

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  • Ludmila Matyskova
  • Jan Sipek

Abstract

Consumer reviews may have perverse effects, including delays of adoption in new products of unknown quality when consumers are boundedly rational. When consumers fail to take into account that past reviewers self-select to purchases, a monopolist may manipulate the posterior beliefs of consumers who observe the reviews, because the product price determines the self-selection bias. The monopolist will charge a relatively high price because the positive selection of the early adopters increases the quality reported in the reviews.

Suggested Citation

  • Ludmila Matyskova & Jan Sipek, 2017. "Manipulation of Cursed Beliefs in Online Reviews," CERGE-EI Working Papers wp586, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  • Handle: RePEc:cer:papers:wp586
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    File URL: http://www.cerge-ei.cz/pdf/wp/Wp586.pdf
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    References listed on IDEAS

    as
    1. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    2. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    3. Subir Bose & Gerhard Orosel & Marco Ottaviani & Lise Vesterlund, 2006. "Dynamic monopoly pricing and herding," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 910-928, December.
    4. Subir Bose & Gerhard Orosel & Marco Ottaviani & Lise Vesterlund, 2008. "Monopoly pricing in the binary herding model," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 37(2), pages 203-241, November.
    5. Alexander L. Brown & Colin F. Camerer & Dan Lovallo, 2012. "To Review or Not to Review? Limited Strategic Thinking at the Movie Box Office," American Economic Journal: Microeconomics, American Economic Association, vol. 4(2), pages 1-26, May.
    6. Manaswini Bhalla, 2013. "Waterfall Versus Sprinkler Product Launch Strategy: Influencing the Herd," Journal of Industrial Economics, Wiley Blackwell, vol. 61(1), pages 138-165, March.
    7. Ting Liu & Pasquale Schiraldi, 2012. "New product launch: herd seeking or herd preventing?," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 51(3), pages 627-648, November.
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    More about this item

    Keywords

    cursed equilibrium; online social learning; two-sided learning;
    All these keywords.

    JEL classification:

    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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