IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v33y2014i5p693-711.html
   My bibliography  Save this article

The Bright Side of Loss Aversion in Dynamic and Competitive Markets

Author

Listed:
  • Dmitri Kuksov

    (Naveen Jindal School of Management, The University of Texas at Dallas, Dallas, Texas 75080)

  • Kangkang Wang

    (Alberta School of Business, University of Alberta, Edmonton, Alberta T6G 2R6, Canada)

Abstract

A well-established phenomenon of consumer buying behavior is that consumers evaluate prices relative to a reference point and exhibit loss aversion; i.e., their propensity to buy is more negatively affected by prices above the reference point than it is positively affected by prices below the reference point. The objective of this paper is to analytically examine how the competitive strategy and profitability of firms are affected by the presence of consumer loss aversion in the price dimension. Although we assume that consumer loss aversion increases consumer propensity to search for lower prices, we find that it does not necessarily lead to lower prices or profits when firms compete over multiple periods and when the consumer reference price in subsequent periods is affected by current prices. Specifically, consumer loss aversion could lead to higher prices and profits when consumer valuation is sufficiently high relative to search costs and the proportion of consumers with positive search costs is in an intermediate range. We also show that when forward-looking firms incorporate the negative effect of price promotions on future profits, the equilibrium range of price promotions may actually increase.

Suggested Citation

  • Dmitri Kuksov & Kangkang Wang, 2014. "The Bright Side of Loss Aversion in Dynamic and Competitive Markets," Marketing Science, INFORMS, vol. 33(5), pages 693-711, September.
  • Handle: RePEc:inm:ormksc:v:33:y:2014:i:5:p:693-711
    DOI: 10.1287/mksc.2014.0847
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2014.0847
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2014.0847?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    2. Moraga-González, José Luis & Wildenbeest, Matthijs R., 2008. "Maximum likelihood estimation of search costs," European Economic Review, Elsevier, vol. 52(5), pages 820-848, July.
    3. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    4. Gul, Faruk, 1991. "A Theory of Disappointment Aversion," Econometrica, Econometric Society, vol. 59(3), pages 667-686, May.
    5. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    6. Bolton, Lisa E & Warlop, Luk & Alba, Joseph W, 2003. "Consumer Perceptions of Price (Un)Fairness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(4), pages 474-491, March.
    7. Teck-Hua Ho & Noah Lim & Tony Haitao Cui, 2010. "Reference Dependence in Multilocation Newsvendor Models: A Structural Analysis," Management Science, INFORMS, vol. 56(11), pages 1891-1910, November.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. Rajiv Lal & John D. C. Little & J. Miguel Villas-Boas, 1996. "A Theory of Forward Buying, Merchandising, and Trade Deals," Marketing Science, INFORMS, vol. 15(1), pages 21-37.
    10. Henry S. Farber, 2008. "Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Drivers," American Economic Review, American Economic Association, vol. 98(3), pages 1069-1082, June.
    11. Chakravarthi Narasimhan & Chuan He & Eric Anderson & Lyle Brenner & Preyas Desai & Dmitri Kuksov & Paul Messinger & Sridhar Moorthy & Joseph Nunes & Yuval Rottenstreich & Richard Staelin & George Wu &, 2005. "Incorporating Behavioral Anomalies in Strategic Models," Marketing Letters, Springer, vol. 16(3), pages 361-373, December.
    12. Teck-Hua Ho & Juanjuan Zhang, 2008. "Designing Pricing Contracts for Boundedly Rational Customers: Does the Framing of the Fixed Fee Matter?," Management Science, INFORMS, vol. 54(4), pages 686-700, April.
    13. Botond Kőszegi & Paul Heidhues, 2008. "Competition and Price Variation When Consumers Are Loss Averse," American Economic Review, American Economic Association, vol. 98(4), pages 1245-1268, September.
    14. Jidong Zhou, 2011. "Reference Dependence and Market Competition," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(4), pages 1073-1097, December.
    15. Chakravarthi Narasimhan & Özge Turut, 2013. "Differentiate or Imitate? The Role of Context-Dependent Preferences," Marketing Science, INFORMS, vol. 32(3), pages 393-410, May.
    16. Robert Zeithammer & Raphael Thomadsen, 2013. "Vertical Differentiation with Variety-Seeking Consumers," Management Science, INFORMS, vol. 59(2), pages 390-401, August.
    17. Gurumurthy Kalyanaram & Russell S. Winer, 1995. "Empirical Generalizations from Reference Price Research," Marketing Science, INFORMS, vol. 14(3_supplem), pages 161-169.
    18. Briesch, Richard A, et al, 1997. "A Comparative Analysis of Reference Price Models," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 202-214, September.
    19. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60(2), pages 151-151.
    20. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    21. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    22. Han Hong & Matthew Shum, 2006. "Using price distributions to estimate search costs," RAND Journal of Economics, RAND Corporation, vol. 37(2), pages 257-275, June.
    23. Praveen K. Kopalle & Ambar G. Rao & João L. Assunção, 1996. "Asymmetric Reference Price Effects and Dynamic Pricing Policies," Marketing Science, INFORMS, vol. 15(1), pages 60-85.
    24. A. Ye(scedilla)im Orhun, 2009. "Optimal Product Line Design When Consumers Exhibit Choice Set-Dependent Preferences," Marketing Science, INFORMS, vol. 28(5), pages 868-886, 09-10.
    25. Bruce G. S. Hardie & Eric J. Johnson & Peter S. Fader, 1993. "Modeling Loss Aversion and Reference Dependence Effects on Brand Choice," Marketing Science, INFORMS, vol. 12(4), pages 378-394.
    26. Ram C. Rao, 1991. "Pricing and Promotions in Asymmetric Duopolies," Marketing Science, INFORMS, vol. 10(2), pages 131-144.
    27. Narasimhan, Chakravarthi, 1988. "Competitive Promotional Strategies," The Journal of Business, University of Chicago Press, vol. 61(4), pages 427-449, October.
    28. Tony Haitao Cui & Jagmohan S. Raju & Z. John Zhang, 2007. "Fairness and Channel Coordination," Management Science, INFORMS, vol. 53(8), pages 1303-1314, August.
    29. David R. Bell & James M. Lattin, 2000. "Looking for Loss Aversion in Scanner Panel Data: The Confounding Effect of Price Response Heterogeneity," Marketing Science, INFORMS, vol. 19(2), pages 185-200, May.
    30. Smith, Gerald E. & Venkatraman, Meera P. & Dholakia, Ruby Roy, 1999. "Diagnosing the search cost effect: Waiting time and the moderating impact of prior category knowledge," Journal of Economic Psychology, Elsevier, vol. 20(3), pages 285-314, June.
    31. Winer, Russell S, 1986. "A Reference Price Model of Brand Choice for Frequently Purchased Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 250-256, September.
    32. Eric A. Greenleaf, 1995. "The Impact of Reference Price Effects on the Profitability of Price Promotions," Marketing Science, INFORMS, vol. 14(1), pages 82-104.
    33. Krishnamurthi, Lakshman & Mazumdar, Tridib & Raj, S P, 1992. "Asymmetric Response to Price in Consumer Brand Choice and Purchase Quantity Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 387-400, December.
    34. Rajiv Lal, 1990. "Price Promotions: Limiting Competitive Encroachment," Marketing Science, INFORMS, vol. 9(3), pages 247-262.
    35. Daniel S. Putler, 1992. "Incorporating Reference Price Effects into a Theory of Consumer Choice," Marketing Science, INFORMS, vol. 11(3), pages 287-309.
    36. Botond Koszegi & Matthew Rabin, 2009. "Reference-Dependent Consumption Plans," American Economic Review, American Economic Association, vol. 99(3), pages 909-936, June.
    37. Jeuland, Abel P & Narasimhan, Chakravarthi, 1985. "Dealing-Temporary Price Cuts-by Seller as a Buyer Discrimination Mechanism," The Journal of Business, University of Chicago Press, vol. 58(3), pages 295-308, July.
    38. Stahl, Dale O, II, 1989. "Oligopolistic Pricing with Sequential Consumer Search," American Economic Review, American Economic Association, vol. 79(4), pages 700-712, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jianqiang Zhang & Krista J. Li, 2021. "Quality Disclosure Under Consumer Loss Aversion," Management Science, INFORMS, vol. 67(8), pages 5052-5069, August.
    2. Moutaz Khouja & Jing Zhou, 2016. "The effect of a temporary product distribution channel on supply chain performance," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(7), pages 505-528, October.
    3. Wen Diao & Mushegh Harutyunyan & Baojun Jiang, 2023. "Consumer Fairness Concerns and Dynamic Pricing in a Channel," Marketing Science, INFORMS, vol. 42(3), pages 569-588, May.
    4. Xi Li & Xinlong Li, 2023. "The Bright Side of Inequity Aversion," Management Science, INFORMS, vol. 69(7), pages 4210-4227, July.
    5. Li, Feng & Du, Timon C. & Wei, Ying, 2020. "Enhancing supply chain decisions with consumers’ behavioral factors: An illustration of decoy effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).

    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. Ahrens, Steffen & Pirschel, Inske & Snower, Dennis J., 2017. "A theory of price adjustment under loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 78-95.
    2. Kopalle, Praveen K. & Kannan, P.K. & Boldt, Lin Bao & Arora, Neeraj, 2012. "The impact of household level heterogeneity in reference price effects on optimal retailer pricing policies," Journal of Retailing, Elsevier, vol. 88(1), pages 102-114.
    3. van Oest, Rutger, 2013. "Why are Consumers Less Loss Averse in Internal than External Reference Prices?," Journal of Retailing, Elsevier, vol. 89(1), pages 62-71.
    4. Amit Mehra & Sajeesh Sajeesh & Sudhir Voleti, 2020. "Impact of Reference Prices on Product Positioning and Profits," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 882-892, April.
    5. József Sákovics, 2011. "Reference distorted prices," Quantitative Marketing and Economics (QME), Springer, vol. 9(4), pages 339-363, December.
    6. Colombo, Luca & Labrecciosa, Paola, 2021. "Dynamic oligopoly pricing with reference-price effects," European Journal of Operational Research, Elsevier, vol. 288(3), pages 1006-1016.
    7. repec:hum:wpaper:sfb649dp2014-065 is not listed on IDEAS
    8. Becker-Peth, Michael & Thonemann, Ulrich W., 2016. "Reference points in revenue sharing contracts—How to design optimal supply chain contracts," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1033-1049.
    9. Chakravarthi Narasimhan & Özge Turut, 2013. "Differentiate or Imitate? The Role of Context-Dependent Preferences," Marketing Science, INFORMS, vol. 32(3), pages 393-410, May.
    10. Yuxin Chen & Ozge Turut, 2018. "Entry deterrence/accommodation with imperfect strategic thinking capability," Quantitative Marketing and Economics (QME), Springer, vol. 16(2), pages 175-207, June.
    11. Neumann, Nico & Böckenholt, Ulf, 2014. "A Meta-analysis of Loss Aversion in Product Choice," Journal of Retailing, Elsevier, vol. 90(2), pages 182-197.
    12. Zhenyu Hu & Javad Nasiry, 2018. "Are Markets with Loss-Averse Consumers More Sensitive to Losses?," Management Science, INFORMS, vol. 64(3), pages 1384-1395, March.
    13. Karle, Heiko & Schumacher, Heiner & Vølund, Rune, 2023. "Consumer loss aversion and scale-dependent psychological switching costs," Games and Economic Behavior, Elsevier, vol. 138(C), pages 214-237.
    14. Robert Slonim & Ellen Garbarino, 2009. "Similarities and differences between stockpiling and reference effects," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 351-371.
    15. Ioana Popescu & Yaozhong Wu, 2007. "Dynamic Pricing Strategies with Reference Effects," Operations Research, INFORMS, vol. 55(3), pages 413-429, June.
    16. Sojin Jung & Hyeon Jeong Cho & Byoungho Ellie Jin, 2020. "Does effective cost transparency increase price fairness? An analysis of apparel brand strategies," Journal of Brand Management, Palgrave Macmillan, vol. 27(5), pages 495-507, September.
    17. Aurélien Baillon & Han Bleichrodt & Vitalie Spinu, 2020. "Searching for the Reference Point," Management Science, INFORMS, vol. 66(1), pages 93-112, January.
    18. Richards, Timothy J. & Liaukonyte, Jura & Streletskaya, Nadia A., 2016. "Personalized pricing and price fairness," International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 138-153.
    19. Teck H. Ho & Noah Lim & Colin Camerer, 2005. "Modeling the Psychology of Consumer and Firm Behavior with Behavioral Economics," Levine's Bibliography 784828000000000476, UCLA Department of Economics.
    20. Elshiewy, Ossama & Peschel, Anne O., 2022. "Internal reference price response across store formats," Journal of Retailing, Elsevier, vol. 98(3), pages 496-509.
    21. Prakash, David & Spann, Martin, 2022. "Dynamic pricing and reference price effects," Journal of Business Research, Elsevier, vol. 152(C), pages 300-314.

    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:inm:ormksc:v:33:y:2014:i:5:p:693-711. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.