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Monopoly price discrimination and privacy: the hidden cost of hiding

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Cited by:

  1. Christian T. Elbaek & Ifeatu Uzodinma & Zilia Ismagilova & Panagiotis Mitkidis, 2022. "Suppetia ex machina: How can AI technologies aid financial decision-making of people with low socioeconomic status?," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(S1), pages 49-57, July.
  2. Groh, Carl-Christian, 2023. "Search, Data, and Market Power," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277701, Verein für Socialpolitik / German Economic Association.
  3. Zhijun Chen & Chongwoo Choe & Noriaki Matsushima, 2020. "Competitive Personalized Pricing," Management Science, INFORMS, vol. 66(9), pages 4003-4023, September.
  4. Johannes Johnen, 2020. "Dynamic competition in deceptive markets," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 375-401, June.
  5. Loertscher, Simon & Marx, Leslie M., 2020. "Digital monopolies: Privacy protection or price regulation?," International Journal of Industrial Organization, Elsevier, vol. 71(C).
  6. Morlok, Tina & Matt, Christian & Hess, Thomas, 2017. "Privatheitsforschung in den Wirtschaftswissenschaften: Entwicklung, Stand und Perspektiven," Working Papers 1/2017, University of Munich, Munich School of Management, Institute for Information Systems and New Media.
  7. Bonatti, Alessandro & Argenziano, Rossella, 2020. "Information Revelation and Privacy Protection," CEPR Discussion Papers 15203, C.E.P.R. Discussion Papers.
  8. 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.
  9. Paul Belleflamme & Wing Man Wynne Lam, & Wouter Vergote, 2020. "Competitive Imperfect Price Discrimination and Market Power," Marketing Science, INFORMS, vol. 39(5), pages 996-1015, September.
  10. de Cornière, Alexandre & Taylor, Greg, 2020. "Data and Competition: a General Framework with Applications to Mergers, Market Structure, and Privacy Policy," TSE Working Papers 20-1076, Toulouse School of Economics (TSE).
  11. Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2017. "Price Discrimination and Dispersion under Asymmetric Profiling of Consumers," Working Papers halshs-01502452, HAL.
  12. Anna D’Annunzio & Antonio Russo, 2020. "Ad Networks and Consumer Tracking," Management Science, INFORMS, vol. 66(11), pages 5040-5058, November.
  13. Charlson, G., 2021. "Third-Degree Price Discrimination in the Age of Big Data," Janeway Institute Working Papers 2104, Faculty of Economics, University of Cambridge.
  14. Jean-Pierre I. Rest & Alan M. Sears & Li Miao & Lorna Wang, 2020. "A note on the future of personalized pricing: cause for concern," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(2), pages 113-118, April.
  15. Simon Anderson & Alicia Baik & Nathan Larson, 2023. "Price Discrimination in the Information Age: Prices, Poaching, and Privacy with Personalized Targeted Discounts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2085-2115.
  16. Li, Cui & Li, Hong & Tao, Changqi, 2023. "Evolutionary game of platform enterprises, government and consumers in the context of digital economy," Journal of Business Research, Elsevier, vol. 167(C).
  17. de Cornière, Alexandre & Taylor, Greg, 2022. "Data and Competition: a Simple Framework with Applications to Mergers and Market Structure," CEPR Discussion Papers 14446, C.E.P.R. Discussion Papers.
  18. de Cornière, Alexandre & Taylor, Greg, 2023. "Data and Competition: A Simple Framework," TSE Working Papers 23-1404, Toulouse School of Economics (TSE).
  19. 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.
  20. Konrad, Kai A., 2020. "Attacking and defending multiple valuable secrets in a big data world," European Journal of Operational Research, Elsevier, vol. 280(3), pages 1122-1129.
  21. Charlson, G., 2021. "Third-Degree Price Discrimination in the Age of Big Data," Cambridge Working Papers in Economics 2159, Faculty of Economics, University of Cambridge.
  22. Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.
  23. Rupayan Pal & Sumit Shrivastav, 2024. "Privacy regulation, cognitive ability, and stability of collusion," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2024-004, Indira Gandhi Institute of Development Research, Mumbai, India.
  24. Dengler, Sebastian & Prüfer, Jens, 2021. "Consumers' privacy choices in the era of big data," Games and Economic Behavior, Elsevier, vol. 130(C), pages 499-520.
  25. Clavorà Braulin, Francesco, 2021. "The effects of personal information on competition: Consumer privacy and partial price discrimination," ZEW Discussion Papers 21-007, ZEW - Leibniz Centre for European Economic Research.
  26. Tommaso Valletti & Jiahua Wu, 2020. "Consumer Profiling with Data Requirements: Structure and Policy Implications," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 309-329, February.
  27. de Cornière Alexandre & Montes Rodrigo, 2017. "Consumer Privacy and the Incentives to Price-Discriminate in Online Markets," Review of Network Economics, De Gruyter, vol. 16(3), pages 291-305, September.
  28. Marco Botta & Klaus Wiedemann, 2020. "To discriminate or not to discriminate? Personalised pricing in online markets as exploitative abuse of dominance," European Journal of Law and Economics, Springer, vol. 50(3), pages 381-404, December.
  29. Chiara Conti & Pierfrancesco Reverberi, 2019. "Price discrimination and product quality under opt-in privacy regulation," DIAG Technical Reports 2019-07, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
  30. Michael R. Baye & David E. M. Sappington, 2020. "Revealing transactions data to third parties: Implications of privacy regimes for welfare in online markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(2), pages 260-275, April.
  31. Buehler, Stefan & Eschenbaum, Nicolas, 2020. "Explaining escalating prices and fines: A unified approach," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 153-164.
  32. Conti, Chiara & Reverberi, Pierfrancesco, 2021. "Price discrimination and product quality under opt-in privacy regulation," Information Economics and Policy, Elsevier, vol. 55(C).
  33. Clavorà Braulin, Francesco, 2023. "The effects of personal information on competition: Consumer privacy and partial price discrimination," International Journal of Industrial Organization, Elsevier, vol. 87(C).
  34. Buehler, Stefan & Nicolas Eschenbaum, 2018. "Explaining Escalating Fines and Prices: The Curse of Positive Selection," Economics Working Paper Series 1807, University of St. Gallen, School of Economics and Political Science.
  35. Zhang, Zhiming & Ren, Da & Lan, Yanfei & Yang, Shanxue, 2022. "Price competition and blockchain adoption in retailing markets," European Journal of Operational Research, Elsevier, vol. 300(2), pages 647-660.
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