IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v209y2023icp1-14.html
   My bibliography  Save this article

Social networks and consumer behavior: Evidence from Yelp

Author

Listed:
  • Fe, Hao

Abstract

Estimates of the effect of social networks on consumer behavior may be biased, because social network formation is endogenous. Thus, it is hard to distinguish the impact of a social network from the impact of the factors leading to its formation. I exploit a machine learning technique to systematically search for groups of individuals who are similar to the extent that friendship variation within these groups is unlikely to be correlated with unobservables that affect the outcome. I apply the method using Yelp data to estimate the effect of social network friendship on restaurant choices. I find that compared to non-friends, social network friends are 64 percent more likely to visit the same restaurant. Additional exploration of the heterogeneous effects suggests that the social network effect takes place mostly through the information channel.

Suggested Citation

  • Fe, Hao, 2023. "Social networks and consumer behavior: Evidence from Yelp," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 1-14.
  • Handle: RePEc:eee:jeborg:v:209:y:2023:i:c:p:1-14
    DOI: 10.1016/j.jebo.2023.02.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268123000458
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2023.02.009?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
    2. Shihe Fu & Stephen L. Ross, 2013. "Wage Premia in Employment Clusters: How Important Is Worker Heterogeneity?," Journal of Labor Economics, University of Chicago Press, vol. 31(2), pages 271-304.
    3. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    4. Patrick Bayer & Stephen L. Ross & Giorgio Topa, 2008. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(6), pages 1150-1196, December.
    5. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2022. "Discretizing Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 90(2), pages 625-643, March.
    6. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    7. Jason M. Fletcher & Stephen L. Ross, 2018. "Estimating the effects of friends on health behaviors of adolescents," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1450-1483, October.
    8. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    9. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    10. Fafchamps, Marcel & Gubert, Flore, 2007. "The formation of risk sharing networks," Journal of Development Economics, Elsevier, vol. 83(2), pages 326-350, July.
    11. repec:dau:papers:123456789/4392 is not listed on IDEAS
    12. Scott K. Shriver & Harikesh S. Nair & Reto Hofstetter, 2013. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Management Science, INFORMS, vol. 59(6), pages 1425-1443, June.
    13. repec:dau:papers:123456789/10840 is not listed on IDEAS
    14. Ian M. Schmutte, 2015. "Job Referral Networks and the Determination of Earnings in Local Labor Markets," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 1-32.
    15. repec:wyi:journl:002155 is not listed on IDEAS
    16. Donald R. Davis & Jonathan I. Dingel & Joan Monras & Eduardo Morales, 2019. "How Segregated Is Urban Consumption?," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1684-1738.
    17. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    18. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    19. Marcel Fafchamps & Flore Gubert, 2007. "Risk Sharing and Network Formation," American Economic Review, American Economic Association, vol. 97(2), pages 75-79, May.
    20. Stacy Berg Dale & Alan B. Krueger, 2002. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1491-1527.
    21. Laura K. Gee & Jason Jones & Moira Burke, 2017. "Social Networks and Labor Markets: How Strong Ties Relate to Job Finding on Facebook’s Social Network," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 485-518.
    22. Max Tabord-Meehan, 2019. "Inference With Dyadic Data: Asymptotic Behavior of the Dyadic-Robust t-Statistic," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 671-680, October.
    23. Aronow, Peter M. & Samii, Cyrus & Assenova, Valentina A., 2015. "Cluster–Robust Variance Estimation for Dyadic Data," Political Analysis, Cambridge University Press, vol. 23(4), pages 564-577.
    24. Young-Jin Lee & Kartik Hosanagar & Yong Tan, 2015. "Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings," Management Science, INFORMS, vol. 61(9), pages 2241-2258, September.
    25. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    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. Yann Algan & Quoc-Anh Do & Nicolò Dalvit & Alexis Le Chapelain & Yves Zenou, 2015. "How Social Networks Shape Our Beliefs: A Natural Experiment among Future French Politicians," Working Papers hal-03459820, HAL.
    2. repec:hal:spmain:info:hdl:2441/78vacv4udu92eq3fec89svm9uv is not listed on IDEAS
    3. Ian M. Schmutte, 2015. "Job Referral Networks and the Determination of Earnings in Local Labor Markets," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 1-32.
    4. Jason M. Fletcher & Stephen L. Ross, 2018. "Estimating the effects of friends on health behaviors of adolescents," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1450-1483, October.
    5. Amodio, Francesco, 2019. "Crime protection investment spillovers: Theory and evidence from the City of Buenos Aires," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 626-649.
    6. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    7. Jun Sung Kim & Eleonora Patacchini & Pierre M. Picard & Yves Zenou, 2023. "Spatial interactions," Quantitative Economics, Econometric Society, vol. 14(4), pages 1295-1335, November.
    8. Nicola Campigotto & Chiara Rapallini & Aldo Rustichini, 2022. "School friendship networks, homophily and multiculturalism: evidence from European countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1687-1722, October.
    9. Yann Algan & Quoc-Anh Do & Nicolò Dalvit & Alexis Le Chapelain & Yves Zenou, 2015. "How Social Networks Shape Our Beliefs: A Natural Experiment among Future French Politicians," Working Papers hal-03459820, HAL.
    10. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    11. Claudia Olivetti & Eleonora Patacchini & Yves Zenou, 2020. "Mothers, Peers, and Gender-Role Identity," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 266-301.
    12. Glitz, Albrecht, 2017. "Coworker networks in the labour market," Labour Economics, Elsevier, vol. 44(C), pages 218-230.
    13. González, Felipe, 2020. "Collective action in networks: Evidence from the Chilean student movement," Journal of Public Economics, Elsevier, vol. 188(C).
    14. Patacchini, Eleonora & Bisin, Alberto, 2019. "Dynamic Social Interactions and Health Risk Behavior," CEPR Discussion Papers 13918, C.E.P.R. Discussion Papers.
    15. Lorenzo Cappellari & Konstantinos Tatsiramos, 2010. "Friends’ Networks and Job Finding Rates," DISCE - Quaderni dell'Istituto di Economia dell'Impresa e del Lavoro ieil0059, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    16. Cappellari, Lorenzo & Tatsiramos, Konstantinos, 2015. "With a little help from my friends? Quality of social networks, job finding and job match quality," European Economic Review, Elsevier, vol. 78(C), pages 55-75.
    17. D’Exelle, Ben & Verschoor, Arjan, 2023. "Village networks and entrepreneurial farming in Uganda," World Development, Elsevier, vol. 167(C).
    18. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    19. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    20. Margherita Comola & Carla Inguaggiato & Mariapia Mendola, 2021. "Learning about Farming: Innovation and Social Networks in a Resettled Community in Brazil," Development Working Papers 468, Centro Studi Luca d'Agliano, University of Milano.
    21. Boucher, Vincent & Fortin, Bernard, 2015. "Some Challenges in the Empirics of the Effects of Networks," IZA Discussion Papers 8896, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Machine learning; Causal effects; Social networks; Consumer behavior;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

    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:eee:jeborg:v:209:y:2023:i:c:p:1-14. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.