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Personalized Pricing and Consumer Welfare

Citations

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Cited by:

  1. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
  2. Robert Clark, 2025. "Innis Lecture: Algorithmic pricing and competition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 58(4), pages 1236-1253, November.
  3. Zhang, Mengdi & Yang, Wanting & Zhao, Zhiheng & Wang, Shuaian & Huang, George Q., 2024. "Do fairness concerns matter for ESG decision-making? Strategic interactions in digital twin-enabled sustainable semiconductor supply chain," International Journal of Production Economics, Elsevier, vol. 276(C).
  4. Yang, Xiaohua & Yuan, Chaoqing, 2025. "Consumer welfare in the platform Economy: The role of desirable product quality," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
  5. Saskia Opitz & Dirk Sliwka & Timo Vogelsang & Tom Zimmermann, 2025. "The Algorithmic Assignment of Incentive Schemes," Management Science, INFORMS, vol. 71(2), pages 1546-1563, February.
  6. Kostas Bimpikis & Ilan Morgenstern & Daniela Saban, 2024. "Data Tracking Under Competition," Operations Research, INFORMS, vol. 72(2), pages 514-532, March.
  7. Lu, Qiuyu & Matsushima, Noriaki & Shekhar, Shiva, 2025. "Welfare implications of personalized pricing in competitive platform markets: The role of network effects," International Journal of Industrial Organization, Elsevier, vol. 103(PB).
  8. Lalit Jain & Zhaoqi Li & Erfan Loghmani & Blake Mason & Hema Yoganarasimhan, 2024. "Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models," Marketing Science, INFORMS, vol. 43(5), pages 1002-1030, September.
  9. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
  10. Nils Wernerfelt & Anna Tuchman & Bradley T. Shapiro & Robert Moakler, 2025. "Estimating the Value of Offsite Tracking Data to Advertisers: Evidence from Meta," Marketing Science, INFORMS, vol. 44(2), pages 268-286, March.
  11. Peiwen Yu & Jiahua Zhang, 2025. "Signaling Targeting Cost Through List Price," Management Science, INFORMS, vol. 71(3), pages 2733-2750, March.
  12. Tesary Lin & Avner Strulov-Shlain, 2025. "Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data," Marketing Science, INFORMS, vol. 44(6), pages 1321-1338, November.
  13. Ali Goli & David H. Reiley & Hongkai Zhang, 2025. "Personalizing Ad Load to Optimize Subscription and Ad Revenues: Product Strategies Constructed from Experiments on Pandora," Marketing Science, INFORMS, vol. 44(2), pages 327-352, March.
  14. Fan Wu & Yi Xin, 2024. "Estimating Nonseparable Selection Models: A Functional Contraction Approach," Papers 2411.01799, arXiv.org, revised May 2026.
  15. Diego Aparicio & Zachary Metzman & Roberto Rigobon, 2024. "The pricing strategies of online grocery retailers," Quantitative Marketing and Economics (QME), Springer, vol. 22(1), pages 1-21, March.
  16. Xavier d'Haultfoeuille & Isis Durrmeyer & Jean-François Fournel & Alessandro Iaria, 2025. "Price discrimination and online sales in the automobile industry," Working Papers hal-05157451, HAL.
  17. Ali Goli & Jason Huang & David Reiley & Nickolai M. Riabov, 2024. "Measuring Consumer Sensitivity to Audio Advertising: A Long-Run Field Experiment on Pandora Internet Radio," Papers 2412.05516, arXiv.org.
  18. Robert Evan Sanders, 2024. "Dynamic Pricing and Organic Waste Bans: A Study of Grocery Retailers’ Incentives to Reduce Food Waste," Marketing Science, INFORMS, vol. 43(2), pages 289-316, March.
  19. Xuefeng Zhang & Ji Luo & Xiao Liu, 2025. "Differentiated Advertising, Heterogeneous Consumers and Suitable Design of Platform Merchant," Mathematics, MDPI, vol. 13(10), pages 1-32, May.
  20. Wayne Taylor & Jonathan Zhang, 2025. "CRM Targeting with reference-dependent sensitivities: Evidence from the casino industry," Quantitative Marketing and Economics (QME), Springer, vol. 23(2), pages 319-345, June.
  21. Michael Allan Ribers & Hannes Ullrich, 2023. "Machine learning and physician prescribing: a path to reduced antibiotic use," Berlin School of Economics Discussion Papers 0019, Berlin School of Economics.
  22. Robert Donnelly & Ayush Kanodia & Ilya Morozov, 2024. "Welfare Effects of Personalized Rankings," Marketing Science, INFORMS, vol. 43(1), pages 92-113, January.
  23. Tesary Lin & Avner Strulov-Shlain, 2023. "Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data," Papers 2308.13496, arXiv.org.
  24. repec:arx:papers:2411.16552 is not listed on IDEAS
  25. Jean-Pierre Dubé & John G. Lynch & Dirk Bergemann & Mert Demirer & Avi Goldfarb & Garrett Johnson & Anja Lambrecht & Tesary Lin & Anna Tuchman & Catherine Tucker, 2025. "Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing," Marketing Science, INFORMS, vol. 44(5), pages 975-984, September.
  26. Liying Qiu & Yan Huang & Param Vir Singh & Kannan Srinivasan, 2025. "Personalization, Consumer Search, and Algorithmic Pricing," Marketing Science, INFORMS, vol. 44(6), pages 1278-1298, November.
  27. Sarah Moshary & Anna Tuchman & Natasha Vajravelu, 2026. "Gender-Based Pricing in Consumer Packaged Goods: A Pink Tax?," Marketing Science, INFORMS, vol. 45(1), pages 1-14, January.
  28. Haihao Lu & Duncan Simester & Yuting Zhu, 2025. "Optimizing Scalable Targeted Marketing Policies with Constraints," Marketing Science, INFORMS, vol. 44(5), pages 1082-1103, September.
  29. Nicholas Buchholz & Laura Doval & Jakub Kastl & Filip Matejka & Tobias Salz, 2025. "Personalized Pricing and the Value of Time: Evidence From Auctioned Cab Rides," Econometrica, Econometric Society, vol. 93(3), pages 929-958, May.
  30. Bianca He & Lauren Mostrom & Amir Sufi, 2026. "FinTech and Customer Capital," Working Papers 2026-14, Becker Friedman Institute for Research In Economics.
  31. Alexander Erlei & Tahir Abbas & Kilian Bizer & Ujwal Gadiraju, 2026. "The Data-Dollars Tradeoff: Privacy Harms vs. Economic Risk in Personalized AI Adoption," Papers 2603.08848, arXiv.org.
  32. Alexander Erlei & Mattheus Brenig & Nils Engelbrecht, 2024. "Consumer Behavior under Benevolent Price Discrimination," Papers 2404.03581, arXiv.org.
  33. Qiuyu Lu & Noriaki Matsushima, 2024. "Personalized Pricing When Consumers Can Purchase Multiple Items," Journal of Industrial Economics, Wiley Blackwell, vol. 72(4), pages 1507-1524, December.
  34. Li, Guo & Tao, Yuwei & Zheng, Hong, 2025. "Endogenous information acquisition in a competitive market with personalized pricing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
  35. Anya Shchetkina, 2025. "Blind Targeting: Personalization under Third-Party Privacy Constraints," Papers 2507.05175, arXiv.org.
  36. Artem Timoshenko & Caio Waisman, 2025. "Profit-Aligned CATE Estimation: Reconciling Policy Learning and Inference," Papers 2512.13400, arXiv.org, revised Apr 2026.
  37. Michael Allan Ribers & Hannes Ullrich, 2024. "Complementarities between algorithmic and human decision-making: The case of antibiotic prescribing," Quantitative Marketing and Economics (QME), Springer, vol. 22(4), pages 445-483, December.
  38. Mira Frick & Ryota Iijima & Yuhta Ishii, 2026. "Multidimensional Screening With Precise Seller Information," Econometrica, Econometric Society, vol. 94(1), pages 35-70, January.
  39. Adrian Hillenbrand & Svenja Hippel, 2017. "Strategic Inattention in Product Search," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2017_21, Max Planck Institute for Behavioral Economics, revised Sep 2019.
  40. Bó, Inácio & Chen, Li & Hakimov, Rustamdjan, 2024. "Strategic responses to personalized pricing and demand for privacy: An experiment," Games and Economic Behavior, Elsevier, vol. 148(C), pages 487-516.
  41. Ali Goli & Jason Huang & David Reiley & Nickolai M. Riabov, 2025. "Measuring consumer sensitivity to audio advertising: a long-run field experiment on Pandora internet radio," Quantitative Marketing and Economics (QME), Springer, vol. 23(3), pages 347-377, September.
  42. Duncan Simester & Artem Timoshenko & Spyros I. Zoumpoulis, 2025. "A Sample Size Calculation for Training and Certifying Targeting Policies," Management Science, INFORMS, vol. 71(11), pages 9503-9522, November.
  43. Adrian Hillenbrand & Svenja Hippel, 2026. "Strategic Inattention in Product Search," Management Science, INFORMS, vol. 72(1), pages 693-722, January.
  44. Richard Archer & Soheil Ghili & Nima Haghpanah, 2026. "Pay-Per-Crawl Pricing for AI: The LM-Tree Agent," Papers 2604.01416, arXiv.org.
  45. David Holtz & Felipe Lobel & Ruben Lobel & Inessa Liskovich & Sinan Aral, 2025. "Reducing Interference Bias in Online Marketplace Experiments Using Cluster Randomization: Evidence from a Pricing Meta-experiment on Airbnb," Management Science, INFORMS, vol. 71(1), pages 390-406, January.
  46. Scott T. Nelson, 2025. "Private Information and Price Regulation in the US Credit Card Market," Econometrica, Econometric Society, vol. 93(4), pages 1371-1410, July.
  47. Zhiqi Zhang & Zhiyu Zeng & Ruohan Zhan & Dennis Zhang, 2026. "Personalized Policy Learning through Discrete Experimentation: Theory and Empirical Evidence," Papers 2602.05099, arXiv.org.
  48. Wenjie Bi & Bing Wang & Haiying Liu, 2024. "Personalized Dynamic Pricing Based on Improved Thompson Sampling," Mathematics, MDPI, vol. 12(8), pages 1-14, April.
  49. Soogand Alavi & Salar Nozari, 2026. "When Agents Shop for You: Role Coherence in AI-Mediated Markets," Papers 2604.26220, arXiv.org.
  50. Esteves, Rosa-Branca & Carballo-Cruz, Francisco, 2023. "Can data openness unlock competition when an incumbent has exclusive data access for personalized pricing?," Information Economics and Policy, Elsevier, vol. 64(C).
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