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Discrimination through versioning with advertising in social networks

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  • Antonio Jiménez-Martínez

    (CIDE)

Abstract

This article investigates a second-degree discrimination scheme where an online platform sells a two-version service to consumers involved in a random network. In particular, consumers choose between purchasing a premium or a free version of the service. The premium version is sold at a price and enables higher network externalities than the free version. The free version includes advertising about some product—unrelated to the service. Under the assumptions that (a) advertising rotates clockwise the inverse demand of the advertised product and (b) the platform receives a fixed portion of the revenue from the sales of the advertised product, I explore (1) how the random network, and the market conditions for the advertised product, relate to the optimal pricing of the service, and (2) the welfare implications for the platform and the consumers. Hazard rate functions are crucial for optimal pricing, and first-order stochastic dominance of the degree distribution characterizes the welfare implications. The model provides foundations for empirical analysis on degree distributions and hazard rate functions underlying complex social networks.

Suggested Citation

  • Antonio Jiménez-Martínez, 2019. "Discrimination through versioning with advertising in social networks," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(3), pages 525-564, April.
    • Handle: RePEc:spr:joecth:v:67:y:2019:i:3:d:10.1007_s00199-018-1107-y
    DOI: 10.1007/s00199-018-1107-y
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    1. Venkatesh Bala & Sanjeev Goyal, 1998. "Learning from Neighbours," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 595-621.
    2. Wouter Dessein & Andrea Galeotti & Tano Santos, 2016. "Rational Inattention and Organizational Focus," American Economic Review, American Economic Association, vol. 106(6), pages 1522-1536, June.
    3. Bloch, Francis & Quérou, Nicolas, 2013. "Pricing in social networks," Games and Economic Behavior, Elsevier, vol. 80(C), pages 243-261.
    4. Lewis, Tracy R & Sappington, David E M, 1994. "Supplying Information to Facilitate Price Discrimination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(2), pages 309-327, May.
    5. Arthur Campbell, 2013. "Word-of-Mouth Communication and Percolation in Social Networks," American Economic Review, American Economic Association, vol. 103(6), pages 2466-2498, October.
    6. Van Zandt, Timothy & Vives, Xavier, 2007. "Monotone equilibria in Bayesian games of strategic complementarities," Journal of Economic Theory, Elsevier, vol. 134(1), pages 339-360, May.
    7. Mussa, Michael & Rosen, Sherwin, 1978. "Monopoly and product quality," Journal of Economic Theory, Elsevier, vol. 18(2), pages 301-317, August.
    8. Antonio Jimenez-Martinez, 2019. "Versioning and advertising in social networks: uniform distributions of valuations," Economics Bulletin, AccessEcon, vol. 39(1), pages 480-494.
    9. Andrea Galeotti & Sanjeev Goyal, 2009. "Influencing the influencers: a theory of strategic diffusion," RAND Journal of Economics, RAND Corporation, vol. 40(3), pages 509-532, September.
    10. Itay P. Fainmesser & Andrea Galeotti, 2016. "Pricing Network Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 165-198.
    11. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    12. Mark Armstrong & Robert Porter (ed.), 2007. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 3, number 1.
    13. Justin P. Johnson & David P. Myatt, 2006. "On the Simple Economics of Advertising, Marketing, and Product Design," American Economic Review, American Economic Association, vol. 96(3), pages 756-784, June.
    14. Amir, Rabah & Lazzati, Natalia, 2016. "Endogenous information acquisition in Bayesian games with strategic complementarities," Journal of Economic Theory, Elsevier, vol. 163(C), pages 684-698.
    15. Glenn Ellison & Drew Fudenberg, 1995. "Word-of-Mouth Communication and Social Learning," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 93-125.
    16. Leduc, Matt V. & Jackson, Matthew O. & Johari, Ramesh, 2017. "Pricing and referrals in diffusion on networks," Games and Economic Behavior, Elsevier, vol. 104(C), pages 568-594.
    17. Matthew O. Jackson & Leeat Yariv, 2007. "Diffusion of Behavior and Equilibrium Properties in Network Games," American Economic Review, American Economic Association, vol. 97(2), pages 92-98, May.
    18. Ozan Candogan & Kostas Bimpikis & Asuman Ozdaglar, 2012. "Optimal Pricing in Networks with Externalities," Operations Research, INFORMS, vol. 60(4), pages 883-905, August.
    19. Eric Maskin & John Riley, 1984. "Monopoly with Incomplete Information," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 171-196, Summer.
    20. repec:hal:pseose:hal-01013603 is not listed on IDEAS
    21. 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.
    22. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Rabah Amir, 2019. "Supermodularity and Complementarity in Economic Theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(3), pages 487-496, April.

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    More about this item

    Keywords

    Social networks; Second-degree discrimination; Advertising; Demand rotation; Degree distributions; Hazard rate;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

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