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Star-Cursed Lovers: Role of Popularity Information in Online Dating

Author

Listed:
  • Behnaz Bojd

    (Paul Merage School of Business, University of California, Irvine, Irvine, California 92697)

  • Hema Yoganarasimhan

    (Foster School of Business, University of Washington, Seattle, Washington 98195)

Abstract

We examine the effect of user’s popularity information on their demand in a mobile dating platform. Knowing that a potential partner is popular can increase their appeal. However, popular people may be less likely to reciprocate. Hence, users may strategically shade down or lower their revealed preferences for popular people to avoid rejection. In our setting, users play a game where they rank-order members of the opposite sex and are then matched based on a stable matching algorithm. Users can message and chat with their matches after the game. We quantify the causal effect of a user’s popularity (star rating) on the rankings received during the game and the likelihood of receiving messages after the game. To overcome the endogeneity between a user’s star rating and her unobserved attractiveness, we employ nonlinear fixed-effects models. We find that popular users receive worse rankings during the game, but receive more messages after the game. We link the heterogeneity across outcomes to the perceived severity of rejection concerns and provide support for the strategic shading hypothesis. We find that popularity information can lead to strategic behavior even in centralized matching markets if users have postmatch rejection concerns.

Suggested Citation

  • Behnaz Bojd & Hema Yoganarasimhan, 2022. "Star-Cursed Lovers: Role of Popularity Information in Online Dating," Marketing Science, INFORMS, vol. 41(1), pages 73-92, January.
    • Handle: RePEc:inm:ormksc:v:41:y:2022:i:1:p:73-92
    DOI: 10.1287/mksc.2021.1301
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    References listed on IDEAS

    as
    1. Atila Abdulkadiroğlu & Parag A. Pathak & Alvin E. Roth, 2005. "The New York City High School Match," American Economic Review, American Economic Association, vol. 95(2), pages 364-367, May.
    2. Linda Y. Wong, 2003. "Structural Estimation of Marriage Models," Journal of Labor Economics, University of Chicago Press, vol. 21(3), pages 699-728, July.
    3. Gregori Baetschmann & Kevin E. Staub & Rainer Winkelmann, 2015. "Consistent estimation of the fixed effects ordered logit model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 685-703, June.
    4. Nick Arnosti & Ramesh Johari & Yash Kanoria, 2021. "Managing Congestion in Matching Markets," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 620-636, May.
    5. Monic Sun, 2012. "How Does the Variance of Product Ratings Matter?," Management Science, INFORMS, vol. 58(4), pages 696-707, April.
    6. Raymond Fisman & Sheena S. Iyengar & Emir Kamenica & Itamar Simonson, 2008. "Racial Preferences in Dating," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(1), pages 117-132.
    7. Roth, Alvin E & Xing, Xiaolin, 1997. "Turnaround Time and Bottlenecks in Market Clearing: Decentralized Matching in the Market for Clinical Psychologists," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 284-329, April.
    8. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    9. Alvin Roth, 2008. "Deferred acceptance algorithms: history, theory, practice, and open questions," International Journal of Game Theory, Springer;Game Theory Society, vol. 36(3), pages 537-569, March.
    10. Muriel Niederle & Leeat Yariv, 2009. "Decentralized Matching with Aligned Preferences," NBER Working Papers 14840, National Bureau of Economic Research, Inc.
    11. Enrico Moretti, 2011. "Social Learning and Peer Effects in Consumption: Evidence from Movie Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 356-393.
    12. Raymond Fisman & Sheena S. Iyengar & Emir Kamenica & Itamar Simonson, 2006. "Gender Differences in Mate Selection: Evidence From a Speed Dating Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 673-697.
    13. Hema Yoganarasimhan, 2012. "Impact of social network structure on content propagation: A study using YouTube data," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 111-150, March.
    14. Eugene Choo & Aloysius Siow, 2006. "Who Marries Whom and Why," Journal of Political Economy, University of Chicago Press, vol. 114(1), pages 175-201, February.
    15. Soohyung Lee, 2016. "Effect of Online Dating on Assortative Mating: Evidence from South Korea," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1120-1139, September.
    16. Sukhov R. R. & Amzarakov M. B. & Isaev E. A., 2013. "Advanced data center economy," Бизнес-информатика, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», issue 2 (24), pages 13-18.
    17. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    18. Yeon-Koo Che & Youngwoo Koh, 2016. "Decentralized College Admissions," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1295-1338.
    19. Alan T. Sorensen, 2007. "Bestseller Lists And Product Variety," Journal of Industrial Economics, Wiley Blackwell, vol. 55(4), pages 715-738, December.
    20. Sanjeev Dewan & Yi-Jen (Ian) Ho & Jui Ramaprasad, 2017. "Popularity or Proximity: Characterizing the Nature of Social Influence in an Online Music Community," Information Systems Research, INFORMS, vol. 28(1), pages 117-136, March.
    21. Muriel Niederle & Leeat Yariv, 2009. "Decentralized Matching with Aligned Preferences," Working Papers 2009-3, Princeton University. Economics Department..
    22. Catherine Tucker & Juanjuan Zhang, 2011. "How Does Popularity Information Affect Choices? A Field Experiment," Management Science, INFORMS, vol. 57(5), pages 828-842, May.
    23. Hongbin Cai & Yuyu Chen & Hanming Fang, 2009. "Observational Learning: Evidence from a Randomized Natural Field Experiment," American Economic Review, American Economic Association, vol. 99(3), pages 864-882, June.
    24. Juanjuan Zhang, 2010. "The Sound of Silence: Observational Learning in the U.S. Kidney Market," Marketing Science, INFORMS, vol. 29(2), pages 315-335, 03-04.
    25. Biddle, Jeff E & Hamermesh, Daniel S, 1998. "Beauty, Productivity, and Discrimination: Lawyers' Looks and Lucre," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 172-201, January.
    26. Elliott Peranson & Alvin E. Roth, 1999. "The Redesign of the Matching Market for American Physicians: Some Engineering Aspects of Economic Design," American Economic Review, American Economic Association, vol. 89(4), pages 748-780, September.
    27. Alvin E. Roth, 1982. "The Economics of Matching: Stability and Incentives," Mathematics of Operations Research, INFORMS, vol. 7(4), pages 617-628, November.
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