IDEAS home Printed from https://ideas.repec.org/p/dpr/wpaper/1219.html
   My bibliography  Save this paper

Strategic anonymity and behavior-based pricing

Author

Listed:
  • Stefano Colombo
  • Paolo G. Garella
  • Noriaki Matsushima

Abstract

In a model of behavior-based price discrimination (BBPD), we argue that sellers may have discretionary power to let buyers decide whether to be identified (e.g., creating an account) or remain anonymous (no account creation). The price equilibria generate a more fragmented market segmentation than under the standard BBPD. Firms might prefer a policy where they leave buyers the decision to remain or not be anonymous, breaking the standard BBPD result. Furthermore, firms can realize higher profits than under uniform pricing, contrary to the standard BBPD. Also, firms may adopt asymmetric policies concerning the account creation requirement.

Suggested Citation

  • Stefano Colombo & Paolo G. Garella & Noriaki Matsushima, 2023. "Strategic anonymity and behavior-based pricing," ISER Discussion Paper 1219, Institute of Social and Economic Research, Osaka University.
  • Handle: RePEc:dpr:wpaper:1219
    as

    Download full text from publisher

    File URL: https://www.iser.osaka-u.ac.jp/library/dp/2023/DP1219.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiajia Cong & Noriaki Matsushima, 2023. "The effects of personal data management on competition and welfare," ISER Discussion Paper 1201, Institute of Social and Economic Research, Osaka University.
    2. Rosa-Branca Esteves, 2014. "Price Discrimination with Private and Imperfect Information," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(3), pages 766-796, July.
    3. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    4. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    5. J. Miguel Villas-Boas, 2004. "Price Cycles in Markets with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 486-501, Autumn.
    6. Caminal, Ramon & Matutes, Carmen, 1990. "Endogenous switching costs in a duopoly model," International Journal of Industrial Organization, Elsevier, vol. 8(3), pages 353-373, September.
    7. Vincent Conitzer & Curtis R. Taylor & Liad Wagman, 2012. "Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases," Marketing Science, INFORMS, vol. 31(2), pages 277-292, March.
    8. Yongmin Chen, 1997. "Paying Customers to Switch," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 6(4), pages 877-897, December.
    9. Didier Laussel & Joana Resende, 2022. "When Is Product Personalization Profit-Enhancing? A Behavior-Based Discrimination Model," Management Science, INFORMS, vol. 68(12), pages 8872-8888, December.
    10. Chongwoo Choe & Stephen King & Noriaki Matsushima, 2018. "Pricing with Cookies: Behavior-Based Price Discrimination and Spatial Competition," Management Science, INFORMS, vol. 64(12), pages 5669-5687, December.
    11. Stefano Colombo, 2016. "Imperfect Behavior‐Based Price Discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 25(3), pages 563-583, September.
    12. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
    13. Conti, Chiara & Reverberi, Pierfrancesco, 2021. "Price discrimination and product quality under opt-in privacy regulation," Information Economics and Policy, Elsevier, vol. 55(C).
    14. J. Miguel Villas-Boas, 1999. "Dynamic Competition with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 604-631, Winter.
    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. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    2. Didier Laussel & Ngo Van Long & Joana Resende, 2023. "Profit Effects of Consumers’ Identity Management: A Dynamic Model," Management Science, INFORMS, vol. 69(6), pages 3602-3615, June.
    3. Masuyama, Ryo, 2023. "Endogenous privacy and heterogeneous price sensitivity," MPRA Paper 117316, University Library of Munich, Germany.
    4. Miettinen, Topi & Stenbacka, Rune, 2015. "Personalized pricing versus history-based pricing: implications for privacy policy," Information Economics and Policy, Elsevier, vol. 33(C), pages 56-68.
    5. Rosa Branca Esteves, 2009. "A Survey on the Economics of Behaviour-Based Price Discrimination," NIPE Working Papers 5/2009, NIPE - Universidade do Minho.
    6. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019. "The Value of Personal Information in Online Markets with Endogenous Privacy," Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
    7. Zhijun Chen & Chongwoo Choe & Noriaki Matsushima, 2020. "Competitive Personalized Pricing," Management Science, INFORMS, vol. 66(9), pages 4003-4023, September.
    8. Bernard Caillaud & Romain De Nijs, 2014. "Strategic Loyalty Reward in Dynamic Price Discrimination," Marketing Science, INFORMS, vol. 33(5), pages 725-742, September.
    9. Zuzana Brokesova & Cary Deck & Jana Peliova, 2014. "Experimenting with Behavior Based Pricing," Working Papers 14-12, Chapman University, Economic Science Institute.
    10. T. Tony Ke & K. Sudhir, 2023. "Privacy Rights and Data Security: GDPR and Personal Data Markets," Management Science, INFORMS, vol. 69(8), pages 4389-4412, August.
    11. Li, Jianpei & Zhang, Wanzhu, 2022. "Behavior-based price discrimination and signaling of product quality," MPRA Paper 111572, University Library of Munich, Germany.
    12. Brokesova, Zuzana & Deck, Cary & Peliova, Jana, 2014. "Experimenting with purchase history based price discrimination," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 229-237.
    13. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2021. "History-Based Price Discrimination with Imperfect Information Accuracy and Asymmetric Market Shares," CESifo Working Paper Series 9049, CESifo.
    14. Lagerlöf, Johan N.M., 2023. "Surfing incognito: Welfare effects of anonymous shopping," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    15. Didier Laussel & Ngo V. Long & Joana Resende, 2020. "The curse of knowledge: having access to customer information can reduce monopoly profits," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 650-675, September.
    16. Esteves, Rosa-Branca & Cerqueira, Sofia, 2017. "Behavior-based pricing under imperfectly informed consumers," Information Economics and Policy, Elsevier, vol. 40(C), pages 60-70.
    17. Jiwoong Shin & K. Sudhir, 2010. "A Customer Management Dilemma: When Is It Profitable to Reward One's Own Customers?," Marketing Science, INFORMS, vol. 29(4), pages 671-689, 07-08.
    18. Chen, Yongmin & Hua, Xinyu & Maskus, Keith E., 2021. "International protection of consumer data," Journal of International Economics, Elsevier, vol. 132(C).
    19. Jeong, Yuncheol & Maruyama, Masayoshi, 2018. "Positioning and pricing strategies in a market with switching costs and staying costs," Information Economics and Policy, Elsevier, vol. 44(C), pages 47-57.
    20. Li, Jianpei & Zhang, Wanzhu, 2024. "The Value of Anonymous Option," MPRA Paper 120010, University Library of Munich, Germany.

    More about this item

    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:dpr:wpaper:1219. 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: Librarian (email available below). General contact details of provider: https://edirc.repec.org/data/isosujp.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.