IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2610.17450.html

Unit-Demand Pricing for Min-Buying Customers

Author

Listed:
  • Titing Cui
  • Michael Hamilton
  • Jourdain Lamperski
  • Kasra Tari

Abstract

We study the unit-demand pricing problem under \textit{min-buying} behavior, where customers purchase the lowest-priced item that yields non-negative utility. In contrast to the quasi-linear model, we show that uniform pricing becomes substantially more effective under min-buying. First, we study symmetric environments. We show that for min-buying customers with independent and identically distributed valuations, a uniform price across items is optimal. We then extend this optimality result to all valuations drawn from exchangeable and affiliated distributions. However, uniform pricing is not optimal in all symmetric environments: for min-buying customers we construct an exchangeable and non-affiliated valuation distribution for which the gap between uniform pricing and optimal item pricing is logarithmic in the number of items. This gap is tight and matches the worst-case gap in the quasi-linear setting. Next, we consider asymmetric environments in which valuations are independent but not identically distributed. When these valuations are regular and customers are min-buying, we show that a uniform price guarantees approximately 69.86\% of the optimal item-pricing revenue and this is tight. Overall, our results highlight that the value of non-uniform pricing substantially diminishes, and often disappears entirely, under more conservative demand models in which customers engage in satisficing behaviors such as min-buying.

Suggested Citation

  • Titing Cui & Michael Hamilton & Jourdain Lamperski & Kasra Tari, 2026. "Unit-Demand Pricing for Min-Buying Customers," Papers 2610.17450, arXiv.org.
  • Handle: RePEc:arx:papers:2610.17450
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/2610.17450
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    2. Yufeng Cao & Anton J. Kleywegt & He Wang, 2022. "Network Revenue Management Under a Spiked Multinomial Logit Choice Model," Operations Research, INFORMS, vol. 70(4), pages 2237-2253, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Winter, Peter, 2007. "Managerial Risk Accounting and Control – A German perspective," MPRA Paper 8185, University Library of Munich, Germany.
    2. J. Silvestre, & T. Araújo & M. St. Aubyn, 2016. "Economic growth and individual satisfaction in an agent-based economy," Working Papers Department of Economics 2016/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    3. Luigi Guiso, 2015. "A Test of Narrow Framing and its Origin," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 61-100, March.
    4. B Kelsey Jack, "undated". "Market Inefficiencies and the Adoption of Agricultural Technologies in Developing Countries," CID Working Papers 50, Center for International Development at Harvard University.
    5. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    6. Becker, Gary S. & Rubinstein, Yona, 2011. "Fear and the response to terrorism: an economic analysis," LSE Research Online Documents on Economics 121740, London School of Economics and Political Science, LSE Library.
    7. Shaheer U. Saeed & Yipei Wang & Veeru Kasivisvanathan & Brian R. Davidson & Matthew J. Clarkson & Yipeng Hu & Daniel C. Alexander, 2026. "Reasoning in machine vision by learning fast and slow thinking," Nature Communications, Nature, vol. 17(1), pages 1-11, December.
    8. Benchimol, Jonathan & Bounader, Lahcen & Dotta, Mario, 2025. "Estimating Behavioral Inattention," Journal of Economic Behavior & Organization, Elsevier, vol. 236(C).
    9. Das, Willy & Das, Satyasiba, 2018. "Role of Heuristic Principles On Crowd-Funder's Investment Decision Making," 6th International OFEL Conference on Governance, Management and Entrepreneurship. New Business Models and Institutional Entrepreneurs: Leading Disruptive Change (Dubrovnik, 2018), in: 6th International OFEL Conference on Governance, Management and Entrepreneurship. New Business Models and Institutional Entrepreneurs: Leading Disrupt, pages 443-452, Governance Research and Development Centre (CIRU), Zagreb.
    10. Hernan Mondani & Petter Holme & Fredrik Liljeros, 2014. "Fat-Tailed Fluctuations in the Size of Organizations: The Role of Social Influence," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-9, July.
    11. W. J. Wouter Botzen & Louison D. Thepaut & Sanchayan Banerjee, 2025. "Kahneman’s Insights for Climate Risks: Lessons from Bounded Rationality, Heuristics and Biases," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(10), pages 2663-2688, October.
    12. Mao, Luke Lunhua & Huang, Haiyan, 2016. "Social impact of Formula One Chinese Grand Prix: A comparison of local residents’ perceptions based on the intrinsic dimension," Sport Management Review, Elsevier, vol. 19(3), pages 306-318.
    13. repec:osf:socarx:a9436_v1 is not listed on IDEAS
    14. Randall Holcombe, 2005. "Government growth in the twenty-first century," Public Choice, Springer, vol. 124(1), pages 95-114, July.
    15. Shastitko, Andrey & Golovanova, Svetlana, 2016. "Meeting blindly… Is Austrian economics useful for dynamic capabilities theory?," Russian Journal of Economics, Elsevier, vol. 2(1), pages 86-110.
    16. Steven Andrew Culpepper & James Joseph Balamuta, 2017. "A Hierarchical Model for Accuracy and Choice on Standardized Tests," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 820-845, September.
    17. Mark Schneider & Mikhael Shor, 2016. "The Common Ratio Effect in Choice, Pricing, and Happiness Tasks," Working papers 2016-29, University of Connecticut, Department of Economics.
    18. Spagano, Salvatore, 2021. "Generalized Darwinism: An Auxiliary Hypothesis," MPRA Paper 108829, University Library of Munich, Germany.
    19. Colombier, Carsten, 2011. "Konjunktur und Wachstum [Business cycles fluctuations and long-term growth]," MPRA Paper 104739, University Library of Munich, Germany.
    20. Robin Maximilian Stetzka & Stefan Winter, 2023. "How rational is gambling?," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1432-1488, September.
    21. Strittmatter, Anthony & Sunde, Uwe & Zegners, Dainis, 2022. "Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence," Rationality and Competition Discussion Paper Series 317, CRC TRR 190 Rationality and Competition.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2610.17450. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.