IDEAS home Printed from https://ideas.repec.org/a/kap/mktlet/v26y2015i4p535-548.html
   My bibliography  Save this article

Measuring willingness to pay: do direct methods work for premium durables?

Author

Listed:
  • Michael Löffler

Abstract

Eliciting customers’ willingness to pay (WTP) is a core element of the pricing process. Whereas researchers tend to promote indirect methods, the application of direct methods is reported to prevail in practice. In the last decade, several empirical studies have compared direct and indirect WTP assessments for services or consumer goods. This study addresses premium durables in an international context, based on a qualified sample of 1,650 real customers. Two selected direct and indirect WTP assessment methods are compared in pricing a new product in the USA, Germany and China. A Monte Carlo simulation identifies the significant revenue opportunities missed by applying direct methods of WTP assessment common to most popular business practices. The empirical results clearly support the application of indirect methods, as direct methods are prone to country-specific artefacts and reveal only close to optimal prices in the best case scenario. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Michael Löffler, 2015. "Measuring willingness to pay: do direct methods work for premium durables?," Marketing Letters, Springer, vol. 26(4), pages 535-548, December.
  • Handle: RePEc:kap:mktlet:v:26:y:2015:i:4:p:535-548
    DOI: 10.1007/s11002-014-9291-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11002-014-9291-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11002-014-9291-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bordley, Robert F, 1993. "Estimating Automotive Elasticities from Segment Elasticities and First Choice/Second Choice Data," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 455-462, August.
    2. Bearden, William O. & Carlson, Jay P. & Hardesty, David M., 2003. "Using invoice price information to frame advertised offers," Journal of Business Research, Elsevier, vol. 56(5), pages 355-366, May.
    3. Rao, Akshay R & Sieben, Wanda A, 1992. "The Effect of Prior Knowledge on Price Acceptability and the Type of Information Examined," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(2), pages 256-270, September.
    4. Nobuhiko Terui & Wirawan Dony Dahana, 2006. "Research Note—Estimating Heterogeneous Price Thresholds," Marketing Science, INFORMS, vol. 25(4), pages 384-391, 07-08.
    5. Dost, Florian & Wilken, Robert, 2012. "Measuring willingness to pay as a range, revisited: When should we care?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 148-166.
    6. Erevelles, Sunil, 1993. "The price-warranty contract and product attitudes," Journal of Business Research, Elsevier, vol. 27(2), pages 171-181, June.
    7. Kamel Jedidi & Sharan Jagpal & Puneet Manchanda, 2003. "Measuring Heterogeneous Reservation Prices for Product Bundles," Marketing Science, INFORMS, vol. 22(1), pages 107-130, July.
    8. Koen Pauwels & Shuba Srinivasan & Philip Hans Franses, 2007. "When Do Price Thresholds Matter in Retail Categories?," Marketing Science, INFORMS, vol. 26(1), pages 83-100, 01-02.
    9. 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.
    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. Stefano Colombo, 2018. "Behavior‐ and characteristic‐based price discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(2), pages 237-250, June.

    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. Lillian L. Cheng & Kent B. Monroe, 2013. "An appraisal of behavioral price research (part 1): price as a physical stimulus," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 103-129, September.
    2. Marine Le Gall-Ely, 2009. "Définition, mesure et déterminants du consentement à payer du consommateur : synthèse critique et voies de recherche," Post-Print hal-00522826, HAL.
    3. Richards, Timothy J. & Gómez, Miguel I. & Printezis, Iryna, 2014. "Hysteresis, Price Acceptance, and Reference Prices," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 164872, Agricultural and Applied Economics Association.
    4. 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.
    5. Kalyanaram, Gurumurthy & Winer, Russell S., 2022. "Behavioral response to price: Data-based insights and future research for retailing," Journal of Retailing, Elsevier, vol. 98(1), pages 46-70.
    6. Wolfgang Gaul & Michael Löffler, 1999. "Zur Charakterisierung von Preisspielräumen," Schmalenbach Journal of Business Research, Springer, vol. 51(11), pages 1056-1074, November.
    7. Philipp Aschersleben & Winfried J. Steiner, 2022. "A semiparametric approach to estimating reference price effects in sales response models," Journal of Business Economics, Springer, vol. 92(4), pages 591-643, May.
    8. Casey E. Newmeyer & R. Venkatesh & Rabikar Chatterjee, 2021. "Reservation Prices for Product Portfolios Under Uncertainty: the ICEPORT Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(3), pages 51-65, September.
    9. Otto, Philipp E. & Schmidt, Lennard, 2021. "Reservation price uncertainty: Loss, virtue, or emotional heterogeneity?," Journal of Economic Psychology, Elsevier, vol. 87(C).
    10. 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.
    11. Kaplan, Sigal & Bekhor, Shlomo & Shiftan, Yoram, 2011. "Eliciting and estimating reservation price: A semi-compensatory approach," Journal of Business Research, Elsevier, vol. 64(1), pages 45-50, January.
    12. Richards, Timothy & Liaukonyte, Jura & Nadia, Streletskya, 2016. "Personalized Pricing and Price Fairness," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235809, Agricultural and Applied Economics Association.
    13. Dost, Florian & Wilken, Robert, 2012. "Measuring willingness to pay as a range, revisited: When should we care?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 148-166.
    14. Harrison Hong & Ilan Kremer & Jeffrey D. Kubik & Jianping Mei & Michael Moses, 2015. "Ordering, revenue and anchoring in art auctions," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 186-216, March.
    15. Haans, Hans, 2011. "Evaluating retail format extensions: The role of shopping goals," Journal of Retailing and Consumer Services, Elsevier, vol. 18(5), pages 389-396.
    16. Tarek Abdallah, 2019. "On the Benefit (Or Cost) of Large‐Scale Bundling," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 955-969, April.
    17. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    18. Chan Choi, S., 2017. "Defensive strategy against a private label: Building brand premium for retailer cooperation," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 335-339.
    19. Lei Xu & Govindan Kannan & Xiaoli Yang & Jian Li & Xiukun Zhao, 2013. "Pricing and Allotment in a Sea-Cargo Supply Chain with Reference Effect: A Dynamic Game Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-10, March.
    20. Weisstein, Fei L. & Kukar-Kinney, Monika & Monroe, Kent B., 2016. "Determinants of consumers' response to pay-what-you-want pricing strategy on the Internet," Journal of Business Research, Elsevier, vol. 69(10), pages 4313-4320.

    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:kap:mktlet:v:26:y:2015:i:4:p:535-548. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.