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Propose with a rose? Signaling in internet dating markets

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  • Soohyung Lee
  • Muriel Niederle

Abstract

A growing number of papers theoretically study the effects of introducing a preference signaling mechanism. However, the empirical literature has had difficulty proving a basic tenet, namely that an agent has more success when the agent uses a signal. This paper provides evidence based on a field experiment in an online dating market. Participants are randomly endowed with two or eight “virtual roses” that a participant can use for free to signal special interest when asking for a date. Our results show that, by sending a rose, a person can substantially increase the chance of the offer being accepted, and this positive effect is neither because the rose attracts attention from recipients nor because the rose is associated with unobserved quality. Furthermore, we find evidence that roses increase the total number of dates, instead of crowding out offers without roses attached. Despite the positive effect of sending roses, a substantial fraction of participants do not fully utilize their endowment of roses and even those who exhaust their endowment on average do not properly use their roses to maximize their dating success. Copyright Economic Science Association 2015

Suggested Citation

  • Soohyung Lee & Muriel Niederle, 2015. "Propose with a rose? Signaling in internet dating markets," Experimental Economics, Springer;Economic Science Association, vol. 18(4), pages 731-755, December.
  • Handle: RePEc:kap:expeco:v:18:y:2015:i:4:p:731-755
    DOI: 10.1007/s10683-014-9425-9
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    Cited by:

    1. Whyte, Stephen & Torgler, Benno & Harrison, Keith L., 2016. "What women want in their sperm donor: A study of more than 1000 women’s sperm donor selections," Economics & Human Biology, Elsevier, vol. 23(C), pages 1-9.
    2. Thomas Gall & David Reinstein, 2020. "Losing face," Oxford Economic Papers, Oxford University Press, vol. 72(1), pages 164-190.
    3. Peng Shi, 2023. "Optimal Matchmaking Strategy in Two-Sided Marketplaces," Management Science, INFORMS, vol. 69(3), pages 1323-1340, March.
    4. Yash Kanoria & Daniela Saban, 2021. "Facilitating the Search for Partners on Matching Platforms," Management Science, INFORMS, vol. 67(10), pages 5990-6029, October.
    5. Vincent W. Slaugh & Mustafa Akan & Onur Kesten & M. Utku Ünver, 2016. "The Pennsylvania Adoption Exchange Improves Its Matching Process," Interfaces, INFORMS, vol. 46(2), pages 133-153, April.
    6. Daiji Kawaguchi & Soohyung Lee, 2017. "Brides For Sale: Cross-Border Marriages And Female Immigration," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 633-654, April.
    7. Yoonyoung Cho & Anastasiya Denisova & Soonhwa Yi & Upasana Khadka, 2018. "Bilateral Arrangement of Temporary Labor Migration," World Bank Publications - Reports 30471, The World Bank Group.
    8. Horton, John J. & Johari, Ramesh & Kircher, Philipp, 2021. "Cheap Talk Messages for Market Design: Theory and Evidence from a Labor Market with Directed," LIDAM Discussion Papers CORE 2021033, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. John J. Horton & Ramesh Johari & Philipp Kircher, 2024. "Sorting through Cheap Talk: Theory and Evidence from a Labor Market," CESifo Working Paper Series 11163, CESifo.
    10. Eduardo M. Azevedo & Jacob D. Leshno, 2016. "A Supply and Demand Framework for Two-Sided Matching Markets," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1235-1268.
    11. Nataf, Colette & Wallsten, Thomas S., 2013. "Love the one you’re with: The endowment effect in the dating market," Journal of Economic Psychology, Elsevier, vol. 35(C), pages 58-66.
    12. Alvin E. Roth, 2010. "Marketplace Institutions Related to the Timing of Transactions," NBER Working Papers 16556, National Bureau of Economic Research, Inc.
    13. Rachel Dinh & Patrick Gildersleve & Chris Blex & Taha Yasseri, 2022. "Computational courtship understanding the evolution of online dating through large-scale data analysis," Journal of Computational Social Science, Springer, vol. 5(1), pages 401-426, May.
    14. Laschever, Ron A. & Weinstein, Russell, 2021. "Preference Signaling and Worker-Firm Matching: Evidence from Interview Auctions," IZA Discussion Papers 14622, Institute of Labor Economics (IZA).
    15. Rickard, Amelia & Wagner, Jeffrey & Schull, Jonathan, 2017. "Observations on the technology and economics of digital emissions," Technology in Society, Elsevier, vol. 48(C), pages 28-32.
    16. Nick Arnosti & Ramesh Johari & Yash Kanoria, 2021. "Managing Congestion in Matching Markets," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 620-636, May.
    17. Timm Opitz & Christoph Schwaiger, 2023. "Reciprocal Preferences in Matching Markets," Rationality and Competition Discussion Paper Series 388, CRC TRR 190 Rationality and Competition.
    18. Maxwell Allman & Itai Ashlagi, 2023. "Interviewing Matching in Random Markets," Papers 2305.11350, arXiv.org, revised Sep 2023.
    19. Shengwu Li, 2017. "Ethics and market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 705-720.
    20. Horton, John J. & Johari, Ramesh & Kircher, Philipp, 2024. "Sorting through Cheap Talk: Theory and Evidence from a Labor Market," IZA Discussion Papers 17052, Institute of Labor Economics (IZA).
    21. Tobias Lehmann & Camille Terrier & Rafael Lalive, 2023. "Costs and Benefits of Congestion in Two-Sided Markets: Evidence from the Dating Market," Working Papers 964, Queen Mary University of London, School of Economics and Finance.
    22. Alvin E. Roth, 2012. "Marketplace Institutions Related to the Timing of Transactions: Reply to Priest," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 479-494.
    23. repec:esx:essedp:769 is not listed on IDEAS
    24. Itai Ashlagi & Mark Braverman & Yash Kanoria & Peng Shi, 2020. "Clearing Matching Markets Efficiently: Informative Signals and Match Recommendations," Management Science, INFORMS, vol. 66(5), pages 2163-2193, May.

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    More about this item

    Keywords

    Field experiment; Matching; Preference signaling; Market design; Online dating; D82; A11; J12;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J0 - Labor and Demographic Economics - - General

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