IDEAS home Printed from https://ideas.repec.org/p/man/sespap/1813.html
   My bibliography  Save this paper

Social Information and Consumer Heterogeneity

Author

Listed:
  • Carlo Reggiani
  • Alejandro Saporiti
  • Lois Simanjuntak

Abstract

We study the incentives of a social network to control two types of information circulating on its platform, namely display advertising by two quality-differentiated firms and “social information” (purchasing decisions shared among consumers). Consumers’ choices are influenced by both of these communication channels, whereas the network gets revenue only through advertising. We characterize the equilibrium level of network diffusion of social information and the firms’ expenditure on advertising. We show that depending on consumers’ heterogeneous response to advertising, social information can compete with or complement display advertising. Moreover, in every equilibrium each consumer almost surely purchases the superior product with a strictly higher probability, and that receiving social information almost surely further increases such probability. Finally, social information almost surely raises social welfare, thereby establishing the existence of a welfare-maximizing equilibrium.

Suggested Citation

  • Carlo Reggiani & Alejandro Saporiti & Lois Simanjuntak, 2018. "Social Information and Consumer Heterogeneity," Economics Discussion Paper Series 1813, Economics, The University of Manchester.
  • Handle: RePEc:man:sespap:1813
    as

    Download full text from publisher

    File URL: http://hummedia.manchester.ac.uk/schools/soss/economics/discussionpapers/EDP-1813.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Burguet, Roberto & Caminal, Ramon & Ellman, Matthew, 2015. "In Google we trust?," International Journal of Industrial Organization, Elsevier, vol. 39(C), pages 44-55.
    2. Alexandre Cornière & Greg Taylor, 2014. "Integration and search engine bias," RAND Journal of Economics, RAND Corporation, vol. 45(3), pages 576-597, September.
    3. Matthew O. Jackson, 2014. "Networks in the Understanding of Economic Behaviors," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 3-22, Fall.
    4. Zhou, Jidong, 2009. "Prominence and Consumer Search: The Case With Multiple Prominent Firms," MPRA Paper 12554, University Library of Munich, Germany.
    5. Philipp Kircher & Andrew Postlewaite, 2008. "Strategic Firms and Endogenous Consumer Emulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 621-661.
    6. Mark Armstrong & John Vickers & Jidong Zhou, 2009. "Prominence and consumer search," RAND Journal of Economics, RAND Corporation, vol. 40(2), pages 209-233, June.
    7. Matthew Ellman & Fabrizio Germano, "undated". "What Do the Papers Sell?," Working Papers 149, Barcelona School of Economics.
    8. Lawrence Friedman, 1958. "Game-Theory Models in the Allocation of Advertising Expenditures," Operations Research, INFORMS, vol. 6(5), pages 699-709, October.
    9. Kostas Bimpikis & Asuman Ozdaglar & Ercan Yildiz, 2016. "Competitive Targeted Advertising Over Networks," Operations Research, INFORMS, vol. 64(3), pages 705-720, June.
    10. Andrea Prat & Tommaso Valletti, 2022. "Attention Oligopoly," American Economic Journal: Microeconomics, American Economic Association, vol. 14(3), pages 530-557, August.
    11. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    12. Jonathan Reuter & Eric Zitzewitz, 2006. "Do Ads Influence Editors? Advertising and Bias in the Financial Media," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(1), pages 197-227.
    13. Matthew Ellman & Fabrizio Germano, 2009. "What do the Papers Sell? A Model of Advertising and Media Bias," Economic Journal, Royal Economic Society, vol. 119(537), pages 680-704, April.
    14. Mueller-Frank, Manuel & M. Pai, Mallesh, 2015. "Do Online Social Networks Increase Welfare?," IESE Research Papers D/1118, IESE Business School.
    15. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.
    16. Engelbert J. Dockner & Steffen Jørgensen, 2018. "Strategic Rivalry for Market Share: A Contest Theory Approach to Dynamic Advertising Competition," Dynamic Games and Applications, Springer, vol. 8(3), pages 468-489, September.
    17. Manuel Mueller-Frank & Mallesh M. Pai, 2016. "Social Learning with Costly Search," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 83-109, February.
    18. Alexandre de Cornière & Romain de Nijs, 2016. "Online advertising and privacy," RAND Journal of Economics, RAND Corporation, vol. 47(1), pages 48-72, February.
    19. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    20. Mark Armstrong Author-Email: mark.armstrong@ucl.ac.uk Author-Workplace-Name: University College of London, 2006. "Competition in Two-Sided Markets," RAND Journal of Economics, The RAND Corporation, vol. 37(3), pages 668-691, Autumn.
    21. Alexandre de Corniere & Romain De Nijs, 2013. "Online Advertising and Privacy," Economics Series Working Papers 650, University of Oxford, Department of Economics.
    22. Bagwell, Kyle, 2007. "The Economic Analysis of Advertising," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 28, pages 1701-1844, Elsevier.
    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. Jan Krämer, & Daniel Schnurr,, 2018. "Is there a need for platform neutrality regulation in the EU?," Telecommunications Policy, Elsevier, vol. 42(7), pages 514-529.
    2. Mueller-Frank, Manuel & M. Pai, Mallesh, 2015. "Do Online Social Networks Increase Welfare?," IESE Research Papers D/1118, IESE Business School.
    3. Greg Taylor, 2013. "Search Quality and Revenue Cannibalization by Competing Search Engines," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(3), pages 445-467, September.
    4. Ding, Yucheng & Zhang, Tianle, 2018. "Price-directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 106-135.
    5. Alaoui, Larbi & Germano, Fabrizio, 2020. "Time scarcity and the market for news," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 173-195.
    6. Haan, Marco A. & Moraga-González, José L. & Petrikaitė, Vaiva, 2018. "A model of directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 223-255.
    7. Mark Armstrong, 2017. "Ordered Consumer Search," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 989-1024.
    8. Burguet, Roberto & Caminal, Ramon & Ellman, Matthew, 2015. "In Google we trust?," International Journal of Industrial Organization, Elsevier, vol. 39(C), pages 44-55.
    9. Blasco, Andrea & Sobbrio, Francesco, 2012. "Competition and commercial media bias," Telecommunications Policy, Elsevier, vol. 36(5), pages 434-447.
    10. Maria Battaggion & Alessandro Vaglio, 2015. "Watchdogs, Platforms and Audience: An Economic Perspective on Media Markets," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(2), pages 209-228, June.
    11. Chen, Yongmin & Zhang, Tianle, 2018. "Intermediaries and consumer search," International Journal of Industrial Organization, Elsevier, vol. 57(C), pages 255-277.
    12. White, Alexander, 2013. "Search engines: Left side quality versus right side profits," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 690-701.
    13. Fei Long & Kinshuk Jerath & Miklos Sarvary, 2022. "Designing an Online Retail Marketplace: Leveraging Information from Sponsored Advertising," Marketing Science, INFORMS, vol. 41(1), pages 115-138, January.
    14. Charlson, G., 2021. "Rating the Competition: Seller Ratings and Intra-Platform Competition," Cambridge Working Papers in Economics 2106, Faculty of Economics, University of Cambridge.
    15. Kerkhof, Anna & Münster, Johannes, 2015. "Quantity restrictions on advertising, commercial media bias, and welfare," Journal of Public Economics, Elsevier, vol. 131(C), pages 124-141.
    16. Elliott, M. & Galeotti., A. & Koh., A. & Li, W., 2021. "Market Segmentation Through Information," Cambridge Working Papers in Economics 2105, Faculty of Economics, University of Cambridge.
    17. Jens Prüfer & Christoph Schottmüller, 2021. "Competing with Big Data," Journal of Industrial Economics, Wiley Blackwell, vol. 69(4), pages 967-1008, December.
    18. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    19. Florian Morath & Johannes Münster, 2018. "Online Shopping and Platform Design with Ex Ante Registration Requirements," Management Science, INFORMS, vol. 64(1), pages 360-380, January.
    20. Yongmin Chen, 2024. "Search and Competition Under Product Quality Uncertainty," Journal of Industrial Economics, Wiley Blackwell, vol. 72(2), pages 633-661, June.

    More about this item

    JEL classification:

    • 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
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • 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
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

    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:man:sespap:1813. 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: Marianne Sensier (email available below). General contact details of provider: https://edirc.repec.org/data/semanuk.html .

    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.