[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/wz4k9.html
   My bibliography  Save this paper

Free Riding in Products with Positive Network Externalities: Empirical Evidence from a Large Mobile Network

Author

Listed:
  • Belo, Rodrigo
  • Ferreira, Pedro
Abstract
We study the effect of peer influence on products that exhibit positive network externalities to non-adopters, i.e., products that benefit adopters' friends even if they do not adopt. Contrary to products that exhibit positive network externalities upon adoption, this structure of incentives likely results in negative peer influence: the more friends that adopted the product, the smaller the incentives to adopt. We measure this effect empirically by using observational data from a large mobile carrier serving 5.7 million users. We estimate the effect of peer influence across five different products of this type. A naive approach to do so results in a positive estimate for peer influence due to unobserved homophily. We follow two approaches to address this issue. First, we suggest using the number of friends that end up adopting the product as a proxy for unobserved user fixed effects. Second, we control for homophily by applying a shuffle test, i.e., we compare the effect of peer influence from the original data with the effect obtained from comparable randomly generated data without peer influence. We get negative estimates from both approaches, which provides robustness to our findings. Finally, we show that even for these products, the effect of peer influence associated with the first friends that adopt the product is positive, which arises because they still convey useful information about reducing uncertainty. The negative effect of peer influence arises only for the subsequent friends that adopt the product. These friends are unlikely to convey new information about the product, but each of them decreases the economic incentive to adopt, resulting in a negative aggregate effect of peer influence.

Suggested Citation

  • Belo, Rodrigo & Ferreira, Pedro, 2021. "Free Riding in Products with Positive Network Externalities: Empirical Evidence from a Large Mobile Network," SocArXiv wz4k9, Center for Open Science.
  • Handle: RePEc:osf:socarx:wz4k9
    DOI: 10.31219/osf.io/wz4k9
    as

    Download full text from publisher

    File URL: https://osf.io/download/60282d0bd6a4320250f13ba1/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/wz4k9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fischbacher, Urs & Gachter, Simon & Fehr, Ernst, 2001. "Are people conditionally cooperative? Evidence from a public goods experiment," Economics Letters, Elsevier, vol. 71(3), pages 397-404, June.
    2. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    3. Goldenberg, Jacob & Libai, Barak & Muller, Eitan, 2010. "The chilling effects of network externalities," International Journal of Research in Marketing, Elsevier, vol. 27(1), pages 4-15.
    4. Szeidl, Adam & Mobius, Markus & Phan, Tuan, 2015. "Treasure Hunt: Social Learning in the Field," CEPR Discussion Papers 10493, C.E.P.R. Discussion Papers.
    5. Jackson, Matthew O. & Zenou, Yves, 2015. "Games on Networks," Handbook of Game Theory with Economic Applications,, Elsevier.
    6. Urs Fischbacher & Simon Gachter, 2010. "Social Preferences, Beliefs, and the Dynamics of Free Riding in Public Goods Experiments," American Economic Review, American Economic Association, vol. 100(1), pages 541-556, March.
    7. Jasmina Arifovic & John Ledyard, 2012. "Individual Evolutionary Learning, Other-regarding Preferences, and the Voluntary Contributions Mechanism," Discussion Papers wp12-01, Department of Economics, Simon Fraser University.
    8. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    9. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    10. Simon P. Anderson & Jacob K. Goeree & Charles A. Holt, 2004. "Noisy Directional Learning and the Logit Equilibrium," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(3), pages 581-602, October.
    11. McMillan, John, 1979. "Individual incentives in the supply of public inputs," Journal of Public Economics, Elsevier, vol. 12(1), pages 87-98, August.
    12. Liye Ma & Ramayya Krishnan & Alan L. Montgomery, 2015. "Latent Homophily or Social Influence? An Empirical Analysis of Purchase Within a Social Network," Management Science, INFORMS, vol. 61(2), pages 454-473, February.
    13. Jack Hirshleifer, 1983. "From weakest-link to best-shot: The voluntary provision of public goods," Public Choice, Springer, vol. 41(3), pages 371-386, January.
    14. Sinan Aral & Dylan Walker, 2014. "Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment," Management Science, INFORMS, vol. 60(6), pages 1352-1370, June.
    15. Arifovic, Jasmina & Ledyard, John, 2012. "Individual evolutionary learning, other-regarding preferences, and the voluntary contributions mechanism," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 808-823.
    16. Friedrich Schneider & Werner W. Pommerehne, 1981. "Free Riding and Collective Action: An Experiment in Public Microeconomics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(4), pages 689-704.
    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. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.
    2. Anna Conte & M. Vittoria Levati & Natalia Montinari, 2019. "Experience in public goods experiments," Theory and Decision, Springer, vol. 86(1), pages 65-93, February.
    3. Nisvan Erkal & Boon Han Koh & Nguyen Lam, 2023. "Using Milestones as a Source of Feedback in Teamwork: Insights from a Dynamic Voluntary Contribution Mechanism," Discussion Papers 2310, University of Exeter, Department of Economics.
    4. Malte Baader & Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "Social Preferences and the Variability of Conditional Cooperation," CESifo Working Paper Series 9924, CESifo.
    5. Landsman, Vardit & Nitzan, Irit, 2020. "Cross-decision social effects in product adoption and defection decisions," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 213-235.
    6. Saboury, Piruz & Krasteva, Silvana & Palma, Marco A., 2022. "The effect of seed money and matching gifts in fundraising: A lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 425-453.
    7. Krasteva, Silvana & Saboury, Piruz, 2021. "Informative fundraising: The signaling value of seed money and matching gifts," Journal of Public Economics, Elsevier, vol. 203(C).
    8. Billur Aksoy & Silvana Krasteva, 2020. "When does less information translate into more giving to public goods?," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1148-1177, December.
    9. Karakostas, Alexandros & Kocher, Martin G. & Matzat, Dominik & Rau, Holger A. & Riewe, Gerhard, 2023. "The team allocator game: Allocation power in public goods games," Games and Economic Behavior, Elsevier, vol. 140(C), pages 73-87.
    10. Guidon Fenig & Giovanni Gallipoli & Yoram Halevy, 2018. "Piercing the 'Payoff Function' Veil: Tracing Beliefs and Motives," Working Papers tecipa-619, University of Toronto, Department of Economics.
    11. Laciana, Carlos E. & Rovere, Santiago L. & Podestá, Guillermo P., 2013. "Exploring associations between micro-level models of innovation diffusion and emerging macro-level adoption patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1873-1884.
    12. Blanco, Esther & Haller, Tobias & Walker, James M., 2018. "Provision of environmental public goods: Unconditional and conditional donations from outsiders," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 815-831.
    13. Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "The Variability of Conditional Cooperation in Sequential Prisoner's Dilemmas," Discussion Papers 2022-10, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    14. Ashkan Negahban & Jeffrey S. Smith, 2018. "A joint analysis of production and seeding strategies for new products: an agent-based simulation approach," Annals of Operations Research, Springer, vol. 268(1), pages 41-62, September.
    15. Bemmaor, Albert C. & Zheng, Li, 2018. "The diffusion of mobile social networking: Further study," International Journal of Forecasting, Elsevier, vol. 34(4), pages 612-621.
    16. Alexei Parakhonyak & Nick Vikander, 2019. "Optimal Sales Schemes for Network Goods," Management Science, INFORMS, vol. 65(2), pages 819-841, February.
    17. Chaab, Jafar & Zaccour, Georges, 2024. "Dynamic pricing in the presence of social externalities and reference-price effect," Omega, Elsevier, vol. 122(C).
    18. Nejad, Mohammad G. & Amini, Mehdi & Babakus, Emin, 2015. "Success Factors in Product Seeding: The Role of Homophily," Journal of Retailing, Elsevier, vol. 91(1), pages 68-88.
    19. Bin Zhang & Paul A. Pavlou & Ramayya Krishnan, 2018. "On Direct vs. Indirect Peer Influence in Large Social Networks," Information Systems Research, INFORMS, vol. 29(2), pages 292-314, June.
    20. Yan Leng & Xiaowen Dong & Esteban Moro & Alex Pentland, 2024. "Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions," Information Systems Research, INFORMS, vol. 35(1), pages 318-338, March.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:socarx:wz4k9. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.