IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v25y2006i4p384-391.html
   My bibliography  Save this article

Research Note—Estimating Heterogeneous Price Thresholds

Author

Listed:
  • Nobuhiko Terui

    (Graduate School of Economics and Management, Tohoku University, Sendai 980-8576, Japan)

  • Wirawan Dony Dahana

    (Graduate School of Economics, Osaka University, Osaka 560-0043, Japan)

Abstract

A brand choice model with heterogeneous price-threshold parameters is used to investigate a three-regime piecewise-linear stochastic utility function. The model is used to explore the relationships between aspects of consumer price sensitivity and price thresholds using hierarchical Bayes modeling with the Markov chain Monte Carlo (MCMC) method. This study contributes to the modeling literature on discontinuous likelihoods in choice models. The empirical application using our scanner panel data set shows that the reference effect and loss aversion are more marked after price thresholds are taken into heterogeneous price response models. Furthermore, loss aversion is attenuated by using price thresholds than by an aggregate (homogeneity) model without price thresholds.

Suggested Citation

  • Nobuhiko Terui & Wirawan Dony Dahana, 2006. "Research Note—Estimating Heterogeneous Price Thresholds," Marketing Science, INFORMS, vol. 25(4), pages 384-391, 07-08.
    • Handle: RePEc:inm:ormksc:v:25:y:2006:i:4:p:384-391
    DOI: 10.1287/mksc.1050.0181
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1050.0181
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mksc.1050.0181?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. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    2. Peter E. Rossi & Robert E. McCulloch & Greg M. Allenby, 1996. "The Value of Purchase History Data in Target Marketing," Marketing Science, INFORMS, vol. 15(4), pages 321-340.
    3. Mayhew, Glenn E & Winer, Russell S, 1992. "An Empirical Analysis of Internal and External Reference Prices Using Scanner Data," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 62-70, June.
    4. Timothy J. Gilbride & Greg M. Allenby, 2004. "A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules," Marketing Science, INFORMS, vol. 23(3), pages 391-406, October.
    5. 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..
    6. John Geweke & Nobuhiko Terui, 1993. "Bayesian Threshold Autoregressive Models For Nonlinear Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 14(5), pages 441-454, September.
    7. Kwangpil Chang & S. Siddarth & Charles B. Weinberg, 1999. "The Impact of Heterogeneity in Purchase Timing and Price Responsiveness on Estimates of Sticker Shock Effects," Marketing Science, INFORMS, vol. 18(2), pages 178-192.
    8. Gupta, Sunil & Cooper, Lee G, 1992. "The Discounting of Discounts and Promotion Thresholds," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 401-411, December.
    9. Keane, Michael P, 1997. "Modeling Heterogeneity and State Dependence in Consumer Choice Behavior," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 310-327, July.
    10. John C. Liechty & Duncan K. H. Fong & Wayne S. DeSarbo, 2005. "Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(2), pages 285-293, November.
    11. 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.
    12. Esther Gal-Or & Mordechai Gal-Or, 2005. "Customized Advertising via a Common Media Distributor," Marketing Science, INFORMS, vol. 24(2), pages 241-253, July.
    13. 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.
    14. Cathy W. S. Chen & Jack C. Lee, 1995. "Bayesian Inference Of Threshold Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(5), pages 483-492, September.
    15. 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.
    16. 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.
    17. Kalyanaram, Gurumurthy & Little, John D C, 1994. "An Empirical Analysis of Latitude of Price Acceptance in Consumer Package Goods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(3), pages 408-418, December.
    18. Daniel S. Putler, 1992. "Incorporating Reference Price Effects into a Theory of Consumer Choice," Marketing Science, INFORMS, vol. 11(3), pages 287-309.
    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. Rajaguru, Rajesh, 2016. "Role of value for money and service quality on behavioural intention: A study of full service and low cost airlines," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 114-122.
    2. Neumann, Nico & Böckenholt, Ulf, 2014. "A Meta-analysis of Loss Aversion in Product Choice," Journal of Retailing, Elsevier, vol. 90(2), pages 182-197.
    3. Lee, Sokbae & Seo, Myung Hwan, 2008. "Semiparametric estimation of a binary response model with a change-point due to a covariate threshold," Journal of Econometrics, Elsevier, vol. 144(2), pages 492-499, June.
    4. 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.
    5. 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.
    6. Vincenzina Caputo & Jayson L Lusk & Rodolfo M Nayga, 2020. "Am I Getting a Good Deal? Reference‐DependentDecision Making When the Reference Price Is Uncertain," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 132-153, January.
    7. 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.
    8. Chalil, Tengku Munawar & Dahana, Wirawan Dony & Baumann, Chris, 2020. "How do search ads induce and accelerate conversion? The moderating role of transaction experience and organizational type," Journal of Business Research, Elsevier, vol. 116(C), pages 324-336.
    9. Michael Löffler, 2015. "Measuring willingness to pay: do direct methods work for premium durables?," Marketing Letters, Springer, vol. 26(4), pages 535-548, December.
    10. Merja Halme & Outi Somervuori, 2013. "Choice behavior of information services when prices are increased and decreased from reference level," Annals of Operations Research, Springer, vol. 211(1), pages 549-564, December.
    11. 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.

    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. 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.
    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. Neumann, Nico & Böckenholt, Ulf, 2014. "A Meta-analysis of Loss Aversion in Product Choice," Journal of Retailing, Elsevier, vol. 90(2), pages 182-197.
    4. 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.
    5. 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.
    6. Nicolau, Juan L., 2011. "Differentiated price loss aversion in destination choice: The effect of tourists’ cultural interest," Tourism Management, Elsevier, vol. 32(5), pages 1186-1195.
    7. Moon, Sangkil & Voss, Glenn, 2009. "How do price range shoppers differ from reference price point shoppers?," Journal of Business Research, Elsevier, vol. 62(1), pages 31-38, January.
    8. Vincenzina Caputo & Jayson L Lusk & Rodolfo M Nayga, 2020. "Am I Getting a Good Deal? Reference‐DependentDecision Making When the Reference Price Is Uncertain," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 132-153, January.
    9. 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.
    10. Tülin Erdem & Michael Katz & Baohong Sun, 2010. "A simple test for distinguishing between internal reference price theories," Quantitative Marketing and Economics (QME), Springer, vol. 8(3), pages 303-332, September.
    11. Yuval Arbel & Danny Ben-Shahar & Stuart Gabriel, 2016. "Are The Disabled Less Loss Averse? Evidence From A Natural Policy Experiment," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1291-1318, April.
    12. Biondi, Beatrice & Cornelsen, Laura & Mazzocchi, Mario & Smith, Richard, 2020. "Between preferences and references: Asymmetric price elasticities and the simulation of fiscal policies," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 108-128.
    13. Meloria Meschi & Carla Pace, 2012. "Accounting for Behavioral Biases for Non-biased Demand Estimations," Chapters, in: Michael A. Crew & Paul R. Kleindorfer (ed.), Multi-Modal Competition and the Future of Mail, chapter 24, Edward Elgar Publishing.
    14. Necati Tereyağoğlu & Peter S. Fader & Senthil Veeraraghavan, 2018. "Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry," Management Science, INFORMS, vol. 64(1), pages 421-436, January.
    15. Yasemin Boztug & Lutz Hildebrandt, 2005. "An empirical test of theories of price valuation using a semiparametric approach, reference prices, and accounting for heterogeneity," SFB 649 Discussion Papers SFB649DP2005-057, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    16. Kwangpil Chang & S. Siddarth & Charles B. Weinberg, 1999. "The Impact of Heterogeneity in Purchase Timing and Price Responsiveness on Estimates of Sticker Shock Effects," Marketing Science, INFORMS, vol. 18(2), pages 178-192.
    17. Hruschka, Harald & Fettes, Werner & Probst, Markus, 2004. "An empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications," European Journal of Operational Research, Elsevier, vol. 159(1), pages 166-180, November.
    18. 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.
    19. 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.
    20. Jaikumar, Saravana & Sahay, Arvind, 2016. "Effect of Overlapping Price Ranges on Price Perception: Revisiting the Range Theory of Price Perception," IIMA Working Papers WP2016-02-02, Indian Institute of Management Ahmedabad, Research and Publication Department.

    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:25:y:2006:i:4:p:384-391. 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.