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The exhaustion of the herding effect in peer-to-peer accommodation

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  • Beatriz Benítez-Aurioles

    (University of Málaga, Spain)

Abstract

A significant reason for the concentration of demand in a subset of the supply in the peer-to-peer market for tourist accommodation is herding behavior, by which the decisions of the first guests are imitated by those who follow. This article proposes a profit- and utility-maximization microeconomic model and implements it with data of Airbnb listings corresponding to 10 European cities. Results show that the influence of each additional review is positive but decreasing, inducing a more balanced distribution of demand among offered accommodation and thus dampening the herding effect. Moreover, reservation policy—specifically, enabling the instant booking option—is a key to explain the initial push that accommodations need to be demanded now and, hence, to increase their possibilities of being demanded in the future.

Suggested Citation

  • Beatriz Benítez-Aurioles, 2022. "The exhaustion of the herding effect in peer-to-peer accommodation," Tourism Economics, , vol. 28(1), pages 27-43, February.
  • Handle: RePEc:sae:toueco:v:28:y:2022:i:1:p:27-43
    DOI: 10.1177/1354816620946537
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    References listed on IDEAS

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    1. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    2. Volgger, Michael & Taplin, Ross & Pforr, Christof, 2019. "The evolution of ‘Airbnb-tourism’: Demand-side dynamics around international use of peer-to-peer accommodation in Australia," Annals of Tourism Research, Elsevier, vol. 75(C), pages 322-337.
    3. Ert, Eyal & Fleischer, Aliza & Magen, Nathan, 2016. "Trust and reputation in the sharing economy: The role of personal photos in Airbnb," Tourism Management, Elsevier, vol. 55(C), pages 62-73.
    4. Liran Einav & Chiara Farronato & Jonathan Levin, 2016. "Peer-to-Peer Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 615-635, October.
    5. Gregory Lewis, 2011. "Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors," American Economic Review, American Economic Association, vol. 101(4), pages 1535-1546, June.
    6. Gutiérrez, Javier & García-Palomares, Juan Carlos & Romanillos, Gustavo & Salas-Olmedo, María Henar, 2017. "The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona," Tourism Management, Elsevier, vol. 62(C), pages 278-291.
    7. Satish Kumar & Nisha Goyal, 2015. "Behavioural biases in investment decision making – a systematic literature review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 7(1), pages 88-108, February.
    8. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    9. Dolnicar, Sara, 2019. "A review of research into paid online peer-to-peer accommodation," Annals of Tourism Research, Elsevier, vol. 75(C), pages 248-264.
    10. Erik Eyster & Matthew Rabin, 2010. "Naïve Herding in Rich-Information Settings," American Economic Journal: Microeconomics, American Economic Association, vol. 2(4), pages 221-243, November.
    11. Spyros Spyrou, 2013. "Herding in financial markets: a review of the literature," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 5(2), pages 175-194, November.
    12. Ulrich Gunter & Irem Önder, 2018. "Determinants of Airbnb demand in Vienna and their implications for the traditional accommodation industry," Tourism Economics, , vol. 24(3), pages 270-293, May.
    13. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
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