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Monopoly price discrimination and privacy: the hidden cost of hiding

Citations

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Cited by:

  1. Loertscher, Simon & Marx, Leslie M., 2020. "Digital monopolies: Privacy protection or price regulation?," International Journal of Industrial Organization, Elsevier, vol. 71(C).
  2. 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.
  3. Bonatti, Alessandro & Argenziano, Rossella, 2020. "Information Revelation and Privacy Protection," CEPR Discussion Papers 15203, C.E.P.R. Discussion Papers.
  4. 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).
  5. 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.
  6. 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.
  7. Didier Laussel, 2023. "Do firms always benefit from the presence of active customers?," Post-Print hal-03777069, HAL.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. Johannes Johnen, 2020. "Dynamic competition in deceptive markets," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 375-401, June.
  14. 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.
  15. 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.
  16. Zhijun Chen & Chongwoo Choe & Noriaki Matsushima, 2020. "Competitive Personalized Pricing," Management Science, INFORMS, vol. 66(9), pages 4003-4023, September.
  17. 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.
  18. Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2019. "Competitive Imperfect Price Discrimination and Market Power," CESifo Working Paper Series 7964, CESifo.
  19. 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".
  20. 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.
  21. 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.
  22. 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.
  23. Shuaicheng Liu, 2024. "Privacy regulation in asymmetric environments," Journal of Regulatory Economics, Springer, vol. 66(2), pages 157-173, December.
  24. 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.
  25. Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2017. "Price Discrimination and Dispersion under Asymmetric Profiling of Consumers," Working Papers halshs-01502452, HAL.
  26. Anna D’Annunzio & Antonio Russo, 2020. "Ad Networks and Consumer Tracking," Management Science, INFORMS, vol. 66(11), pages 5040-5058, November.
  27. Charlson, G., 2021. "Third-Degree Price Discrimination in the Age of Big Data," Janeway Institute Working Papers 2104, Faculty of Economics, University of Cambridge.
  28. 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).
  29. 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.
  30. de Cornière, Alexandre & Taylor, Greg, 2023. "Data and Competition: A Simple Framework," TSE Working Papers 23-1404, Toulouse School of Economics (TSE), revised Aug 2024.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. Conti, Chiara & Reverberi, Pierfrancesco, 2021. "Price discrimination and product quality under opt-in privacy regulation," Information Economics and Policy, Elsevier, vol. 55(C).
  36. 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).
  37. 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.
  38. 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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