IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/63-man2020.html
   My bibliography  Save this paper

Robust Regression Discontinuity Estimates Of The Causal Effect Of The Tripadvisor’s Bubble Rating On Hotel Popularity

Author

Listed:
  • Elena Pokryshevskaya

    (National Research University Higher School of Economics)

  • Evgeny Antipov

    (National Research University Higher School of Economics)

Abstract

In this paper we use detailed data on 4,599 hotels located in Rome collected from TripAdvisor, the world's largest travel platform, to examine the causal effects of bubble ratings (detailed to half-bubbles) on hotel popularity measured with the number of people viewing the hotel’s page. By using a regression discontinuity design, we find that bubble presentation of ratings does not create any significant jumps at cutoffs. This result is different from those obtained in previous studies of similarly designed rating systems from other industries. Another finding is that web users tend to shortlist hotels with the bubble rating of at least 3. Despite that, there is no strong evidence of review manipulation around the 2.75 cutoff to make a transition from the 2.5-bubble rating to the 3-bubble rating. Potential uses of the number of views as a proxy of demand in hospitality and tourism research are outlined.

Suggested Citation

  • Elena Pokryshevskaya & Evgeny Antipov, 2020. "Robust Regression Discontinuity Estimates Of The Causal Effect Of The Tripadvisor’s Bubble Rating On Hotel Popularity," HSE Working papers WP BRP 63/MAN/2020, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:63/man2020
    as

    Download full text from publisher

    File URL: https://wp.hse.ru/data/2020/12/09/1355878272/63MAN2020.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Simple Local Polynomial Density Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
    2. Michael Luca, 2011. "Reviews, Reputation, and Revenue: The Case of Yelp.com," Harvard Business School Working Papers 12-016, Harvard Business School, revised Mar 2016.
    3. Michael Anderson & Jeremy Magruder, 2012. "Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database," Economic Journal, Royal Economic Society, vol. 122(563), pages 957-989, September.
    4. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs [Econometric methods for program evaluation]," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    5. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    6. Floyd, Kristopher & Freling, Ryan & Alhoqail, Saad & Cho, Hyun Young & Freling, Traci, 2014. "How Online Product Reviews Affect Retail Sales: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 217-232.
    7. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    8. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    9. Erik Brynjolfsson & Astrid Dick & Michael Smith, 2010. "A nearly perfect market?," Quantitative Marketing and Economics (QME), Springer, vol. 8(1), pages 1-33, March.
    10. Matias Cattaneo & Sebastian Calonico & Rocio Titiunik, 2015. "Robust Inference in Regression-Discontinuity Designs," 2015 Stata Conference 16, Stata Users Group.
    11. Michael Luca & Georgios Zervas, 2016. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Management Science, INFORMS, vol. 62(12), pages 3412-3427, December.
    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. Jolivet, Grégory & Jullien, Bruno & Postel-Vinay, Fabien, 2016. "Reputation and prices on the e-market: Evidence from a major French platform," International Journal of Industrial Organization, Elsevier, vol. 45(C), pages 59-75.
    2. Brett Hollenbeck & Sridhar Moorthy & Davide Proserpio, 2019. "Advertising Strategy in the Presence of Reviews: An Empirical Analysis," Marketing Science, INFORMS, vol. 38(5), pages 793-811, September.
    3. Brett Danaher & Michael D. Smith & Rahul Telang, 2014. "Piracy and Copyright Enforcement Mechanisms," Innovation Policy and the Economy, University of Chicago Press, vol. 14(1), pages 25-61.
    4. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    5. De Benedetto, Marco Alberto & De Paola, Maria & Scoppa, Vincenzo & Smirnova, Janna, 2023. "Erasmus Program and Labor Market Outcomes: Evidence from a Fuzzy Regression Discontinuity Design," IZA Discussion Papers 16181, Institute of Labor Economics (IZA).
    6. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    7. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    8. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    9. Steel, Will & Daglish, Toby & Marriott, Lisa & Gemmell, Norman & Howell, Bronwyn, 2013. "E-Commerce and its effect upon the Retail Industry and Government Revenue," Working Paper Series 4333, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    10. Tommaso Bondi, 2019. "Alone, Together. Product Discovery Through Consumer Ratings," Working Papers 19-09, NET Institute.
    11. Baye, Michael R. & De los Santos, Babur & Wildenbeest, Matthijs R., 2016. "What’s in a name? Measuring prominence and its impact on organic traffic from search engines," Information Economics and Policy, Elsevier, vol. 34(C), pages 44-57.
    12. Steel, Will & Daglish, Toby & Marriott, Lisa & Gemmell, Norman & Howell, Bronwyn, 2013. "E-Commerce and its effect upon the Retail Industry and Government Revenue," Working Paper Series 19294, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    13. Guastavino, Carlos & Miranda, Alvaro & Montero, Rodrigo, 2021. "Rank effect in bureaucrat recruitment," European Journal of Political Economy, Elsevier, vol. 68(C).
    14. Lu, Jiaxuan, 2023. "The economics of China’s between-city height competition: A regression discontinuity approach," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    15. Hu, Yu Jeffrey & Tang, Zhulei, 2014. "The impact of sales tax on internet and catalog sales: Evidence from a natural experiment," International Journal of Industrial Organization, Elsevier, vol. 32(C), pages 84-90.
    16. Jun Ma & Zhengfei Yu, 2020. "Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs," Papers 2008.09263, arXiv.org, revised May 2022.
    17. Stephen McDonald & Colin Wren, 2018. "Multibrand pricing as a strategy for consumer search obfuscation in online markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(2), pages 171-187, June.
    18. Ke & Ma & Sophie Yanying Sheng & Haitian Xie, 2023. "Employer Reputation and the Labor Market: Evidence from Glassdoor.com and Dice.com," Papers 2305.02587, arXiv.org, revised Sep 2023.
    19. repec:vuw:vuwscr:19294 is not listed on IDEAS
    20. Eibich, Peter & Siedler, Thomas, 2020. "Retirement, intergenerational time transfers, and fertility," European Economic Review, Elsevier, vol. 124(C).
    21. Robert Zeithammer & Peter Lenk, 2006. "Bayesian estimation of multivariate-normal models when dimensions are absent," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 241-265, September.

    More about this item

    Keywords

    regression discontinuity; ratings; sales; booking; hotel reviews; TripAdvisor;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:hig:wpaper:63/man2020. 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: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.