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History-Based Price Discrimination with Imperfect Information Accuracy and Asymmetric Market Shares

Author

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  • Stefano Colombo
  • Clara Graziano
  • Aldo Pignataro

Abstract

In this paper, we consider a duopoly model with history-based price discrimination where firms have imperfect information on consumers’ purchase history and asymmetric inherited market shares. We analyze the effects of the degree of information accuracy on market configuration, firms profits, and consumers surplus. We find that the equilibrium market structure is jointly determined by the size of the inherited market shares and the degree of information accuracy. With high degrees of information accuracy firms are more likely to use symmetric pricing strategies, both poaching rival’s consumers. Conversely, with low degrees of information accuracy or highly asymmetric market shares, firms adopt different pricing strategies and price discrimination is enforced only by the firm inheriting the smaller quota of market shares. We show that, everything else equal, a higher degree of information accuracy has a non-monotonic effect on firms’ profits and a decreasing effect on social welfare; the effect on consumer surplus varies according to the equilibrium market configuration.

Suggested Citation

  • 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.
  • Handle: RePEc:ces:ceswps:_9049
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    References listed on IDEAS

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    1. Bernard Caillaud & Romain de Nijs, 2014. "Strategic Loyalty Reward in Dynamic Price Discrimination," PSE-Ecole d'économie de Paris (Postprint) halshs-01109042, HAL.
    2. Amit Pazgal & David Soberman, 2008. "Behavior-Based Discrimination: Is It a Winning Play, and If So, When?," Marketing Science, INFORMS, vol. 27(6), pages 977-994, 11-12.
    3. Bernard Caillaud & Romain de Nijs, 2011. "Strategic loyalty reward in dynamic price Discrimination," PSE Working Papers halshs-00622291, HAL.
    4. Liang Guo & Ganesh Iyer, 2010. "Information Acquisition and Sharing in a Vertical Relationship," Marketing Science, INFORMS, vol. 29(3), pages 483-506, 05-06.
    5. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    6. Rosa-Branca Esteves, 2014. "Price Discrimination with Private and Imperfect Information," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(3), pages 766-796, July.
    7. Qihong Liu & Konstantinos Serfes, 2004. "Quality of Information and Oligopolistic Price Discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 13(4), pages 671-702, December.
    8. Yongmin Chen, 1997. "Paying Customers to Switch," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 6(4), pages 877-897, December.
    9. Greg Shaffer & Z. John Zhang, 2000. "Pay to Switch or Pay to Stay: Preference‐Based Price Discrimination in Markets with Switching Costs," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(3), pages 397-424, June.
    10. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    11. Bernard Caillaud & Romain de Nijs, 2014. "Strategic Loyalty Reward in Dynamic Price Discrimination," Post-Print halshs-01109042, HAL.
    12. Garella, Paolo G. & Laussel, Didier & Resende, Joana, 2021. "Behavior based price personalization under vertical product differentiation," International Journal of Industrial Organization, Elsevier, vol. 76(C).
    13. Thomas Gehrig & Oz Shy & Rune Stenbacka, 2012. "A Welfare Evaluation of History-Based Price Discrimination," Journal of Industry, Competition and Trade, Springer, vol. 12(4), pages 373-393, December.
    14. 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.
    15. Thisse, Jacques-Francois & Vives, Xavier, 1988. "On the Strategic Choice of Spatial Price Policy," American Economic Review, American Economic Association, vol. 78(1), pages 122-137, March.
    16. Esteves, Rosa-Branca, 2010. "Pricing with customer recognition," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 669-681, November.
    17. Bernard Caillaud & Romain De Nijs, 2014. "Strategic Loyalty Reward in Dynamic Price Discrimination," Marketing Science, INFORMS, vol. 33(5), pages 725-742, September.
    18. repec:hal:pseose:halshs-01109042 is not listed on IDEAS
    19. Gehrig, Thomas & Shy, Oz & Stenbacka, Rune, 2011. "History-based price discrimination and entry in markets with switching costs: A welfare analysis," European Economic Review, Elsevier, vol. 55(5), pages 732-739, June.
    20. J. Miguel Villas-Boas, 1999. "Dynamic Competition with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 604-631, Winter.
    21. Chuan He & Johan Marklund & Thomas Vossen, 2008. "—Vertical Information Sharing in a Volatile Market," Marketing Science, INFORMS, vol. 27(3), pages 513-530, 05-06.
    22. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    23. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    24. Carroni, Elias, 2016. "Competitive customer poaching with asymmetric firms," International Journal of Industrial Organization, Elsevier, vol. 48(C), pages 173-206.
    25. Stefano Colombo, 2016. "Imperfect Behavior‐Based Price Discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 25(3), pages 563-583, September.
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    Cited by:

    1. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2023. "Personalized Pricing with Imperfect Customer Recognition," CESifo Working Paper Series 10455, CESifo.
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    3. Stefano Colombo & Aldo Pignataro, 2022. "Information accuracy and collusion," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 638-656, August.

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    More about this item

    Keywords

    history-based price discrimination; information accuracy; asymmetric market shares;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General

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