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Technical Note—Intertemporal Price Discrimination via Reference Price Effects

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  • Zizhuo Wang

    (Department of Industrial and Systems Engineering, University of Minnesota, Minneapolis, Minnesota 55455)

Abstract

We consider the dynamic pricing problem a monopolistic seller faces when customers arrive in heterogeneous time periods and their purchase decisions are affected by reference prices formed from their past observations of prices. We illustrate that a new form of price discrimination opportunity exists in such situations, where the seller’s optimal pricing strategy is a cyclic one, even when the customers are loss-neutral and their demand functions are identical. This result differs from those of prior studies where the optimal price paths are shown to be asymptotically constant and thus is unique due to the interaction between the heterogeneous arrivals and the reference price effects. We also provide the cycle length of the optimal pricing policy when the demand function is linear and when customers are loss-neutral. In this era when customer information is easier accessible, our results suggest the sellers consider this new dimension of price discrimination in conjunction with the old ones, to take advantage of the full power of customer data.

Suggested Citation

  • Zizhuo Wang, 2016. "Technical Note—Intertemporal Price Discrimination via Reference Price Effects," Operations Research, INFORMS, vol. 64(2), pages 290-296, April.
  • Handle: RePEc:inm:oropre:v:64:y:2016:i:2:p:290-296
    DOI: 10.1287/opre.2015.1473
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    References listed on IDEAS

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    Cited by:

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    6. Xin Chen & Peng Hu & Zhenyu Hu, 2017. "Efficient Algorithms for the Dynamic Pricing Problem with Reference Price Effect," Management Science, INFORMS, vol. 63(12), pages 4389-4406, December.
    7. René Caldentey & Ying Liu & Ilan Lobel, 2017. "Intertemporal Pricing Under Minimax Regret," Operations Research, INFORMS, vol. 65(1), pages 104-129, February.
    8. Meijian Yang & Enjun Xia & Yang Yang, 2023. "Deterring Sellers’ Cheap Talk Actions via Online Rating Schemes," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
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    11. Junhai Ma & Zhanbing Guo, 2017. "Implications for Firms with Limited Information to Take Advantage of Reference Price Effect in Competitive Settings," Complexity, Hindawi, vol. 2017, pages 1-16, June.
    12. Yiwei Chen & Cong Shi, 2019. "Joint Pricing and Inventory Management with Strategic Customers," Operations Research, INFORMS, vol. 67(6), pages 1610-1627, November.
    13. Arnoud V. den Boer & N. Bora Keskin, 2022. "Dynamic Pricing with Demand Learning and Reference Effects," Management Science, INFORMS, vol. 68(10), pages 7112-7130, October.
    14. Bertrand Crettez & Naila Hayek & Georges Zaccour, 2020. "Existence and characterization of optimal dynamic pricing strategies with reference-price effects," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(2), pages 441-459, June.
    15. Yiwei Chen & Vivek F. Farias, 2018. "Robust Dynamic Pricing with Strategic Customers," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1119-1142, November.
    16. Khouja, Moutaz & Li, Yuefeng & Zhou, Jing, 2023. "Nonlinear pricing for yield management and countering strategic consumer behavior," European Journal of Operational Research, Elsevier, vol. 307(1), pages 212-232.
    17. Colombo, Luca & Labrecciosa, Paola, 2021. "Dynamic oligopoly pricing with reference-price effects," European Journal of Operational Research, Elsevier, vol. 288(3), pages 1006-1016.
    18. Ningyuan Chen & Javad Nasiry, 2020. "Does Loss Aversion Preclude Price Variation?," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 383-395, March.
    19. Zhaofu Hong & Hao Wang & Yeming Gong, 2019. "Green product design considering functional-product reference," Post-Print hal-02312293, HAL.
    20. Hong, Zhaofu & Wang, Hao & Gong, Yeming, 2019. "Green product design considering functional-product reference," International Journal of Production Economics, Elsevier, vol. 210(C), pages 155-168.
    21. René Caldentey & Ying Liu & Ilan Lobel, 2017. "Intertemporal Pricing Under Minimax Regret," Operations Research, INFORMS, vol. 65(1), pages 104-129, February.
    22. Hong, Zhaofu & Wang, Hao & Yu, Yugang, 2018. "Green product pricing with non-green product reference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 1-15.
    23. Ioannis Stamatopoulos & Naveed Chehrazi & Achal Bassamboo, 2019. "Welfare Implications of Inventory-Driven Dynamic Pricing," Management Science, INFORMS, vol. 65(12), pages 5741-5765, December.
    24. Li Li & Li Jiang, 2022. "How should firms adapt pricing strategies when consumers are time‐inconsistent?," Production and Operations Management, Production and Operations Management Society, vol. 31(9), pages 3457-3473, September.

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