IDEAS home Printed from https://ideas.repec.org/p/apc/wpaper/2015-031.html
   My bibliography  Save this paper

Brand Loyalty, Volume of Trade and Leapfrogging: Consumer Behavior in Markets of Durable Experience Goods

Author

Listed:
  • Martin Paredes

    (Universidad de Piura)

Abstract

We present a dynamic model that addresses how the interaction between durability and experience affects consumers’ replacement decisions. Despite obsolescence, consumers keep used goods because of quality uncertainty of new goods. Contrary to adverse selection articles, incomplete trade in secondary markets can be efficient provided experience involves idiosyncratic tastes. As some consumers decide which vintage to buy depending on past experiences, brand loyalty can be higher for new goods. When consumers’ expected experience differs across brands, the best brand exhibits higher loyalty, larger sales, longer ownership spells, and higher resale prices, results consistent with evidence from the U.S. automobile industry.

Suggested Citation

  • Martin Paredes, 2015. "Brand Loyalty, Volume of Trade and Leapfrogging: Consumer Behavior in Markets of Durable Experience Goods," Working Papers 31, Peruvian Economic Association.
    • Handle: RePEc:apc:wpaper:2015-031
    as

    Download full text from publisher

    File URL: http://perueconomics.org/wp-content/uploads/2014/01/WP-31.pdf
    File Function: Application/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alessandro Gavazza, 2011. "Leasing and Secondary Markets: Theory and Evidence from Commercial Aircraft," Journal of Political Economy, University of Chicago Press, vol. 119(2), pages 325-377.
    2. Pasquale Schiraldi, 2011. "Automobile replacement: a dynamic structural approach," RAND Journal of Economics, RAND Corporation, vol. 42(2), pages 266-291, June.
    3. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    4. Roland Strausz, 2009. "Planned Obsolescence as an Incentive Device for Unobservable Quality," Economic Journal, Royal Economic Society, vol. 119(540), pages 1405-1421, October.
    5. Justin P. Johnson, 2011. "Secondary markets with changing preferences," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 555-574, September.
    6. Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, July.
    7. Milgrom, Paul & Roberts, John, 1986. "Price and Advertising Signals of Product Quality," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 796-821, August.
    8. J. Miguel Villas‐Boas, 2006. "Dynamic Competition with Experience Goods," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(1), pages 37-66, March.
    9. Daniel A. Ackerberg, 2003. "Advertising, learning, and consumer choice in experience good markets: an empirical examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 1007-1040, August.
    10. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    11. Toker Doganoglu, 2010. "Switching costs, experience goods and dynamic price competition," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 167-205, June.
    12. Evrim Dener, 2011. "Quality uncertainty and time inconsistency in a durable good market," Journal of Economics, Springer, vol. 104(1), pages 1-24, September.
    13. Michael Waldman, 2003. "Durable Goods Theory for Real World Markets," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 131-154, Winter.
    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. Hintermann, Beat & Lange, Andreas, 2013. "Learning abatement costs: On the dynamics of the optimal regulation of experience goods," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 625-638.
    2. Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
    3. Halbheer, Daniel & Stahl, Florian & Koenigsberg, Oded & Lehmann, Donald R., 2014. "Choosing a digital content strategy: How much should be free?," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 192-206.
    4. Guofang Huang & Matthew Shum & Wei Tan, 2019. "Is pharmaceutical detailing informative? Evidence from contraindicated drug prescriptions," Quantitative Marketing and Economics (QME), Springer, vol. 17(2), pages 135-160, June.
    5. Daniel Halbheer & Florian Stahl & Oded Koenigsberg & Donald R. Lehmann, 2013. "Digital Content Strategies," Working Papers 329, University of Zurich, Department of Business Administration (IBW).
    6. Grunewald, Andreas & Kräkel, Matthias, 2017. "Advertising as signal jamming," International Journal of Industrial Organization, Elsevier, vol. 55(C), pages 91-113.
    7. Chernew, Michael & Gowrisankaran, Gautam & Scanlon, Dennis P., 2008. "Learning and the value of information: Evidence from health plan report cards," Journal of Econometrics, Elsevier, vol. 144(1), pages 156-174, May.
    8. Martín-Rodríguez, María, 2018. "A dynamic monopoly with risk-averse consumers," Information Economics and Policy, Elsevier, vol. 43(C), pages 61-70.
    9. Alessandro Gavazza & Alessandro Lizzeri & Nikita Roketskiy, 2014. "A Quantitative Analysis of the Used-Car Market," American Economic Review, American Economic Association, vol. 104(11), pages 3668-3700, November.
    10. Duncan Simester & Yu (Jeffrey) Hu & Erik Brynjolfsson & Eric T. Anderson, 2009. "Dynamics Of Retail Advertising: Evidence From A Field Experiment," Economic Inquiry, Western Economic Association International, vol. 47(3), pages 482-499, July.
    11. Tat Chan & Chakravarthi Narasimhan & Ying Xie, 2013. "Treatment Effectiveness and Side Effects: A Model of Physician Learning," Management Science, INFORMS, vol. 59(6), pages 1309-1325, June.
    12. Khwaja, Ahmed & Sloan, Frank & Chung, Sukyung, 2006. "Learning about individual risk and the decision to smoke," International Journal of Industrial Organization, Elsevier, vol. 24(4), pages 683-699, July.
    13. Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2012. "A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 151-196, June.
    14. Neha Bairoliya & Pinar Karaca-Mandic & Jeffrey S. McCullough & Amil Petrin, 2017. "Consumer Learning and the Entry of Generic Pharmaceuticals," NBER Working Papers 23662, National Bureau of Economic Research, Inc.
    15. Bart J. Bronnenberg & Jean-Pierre H. Dubé, 2016. "The Formation of Consumer Brand Preferences," NBER Working Papers 22691, National Bureau of Economic Research, Inc.
    16. Simon P. Anderson & Federico Ciliberto & Jura Liaukonyte & Régis Renault, 2016. "Push-me pull-you: comparative advertising in the OTC analgesics industry," RAND Journal of Economics, RAND Corporation, vol. 47(4), pages 1029-1056, November.
    17. Ching, Andrew T. & Erdem, Tülin & Keane, Michael P., 2014. "A simple method to estimate the roles of learning, inventories and category consideration in consumer choice," Journal of choice modelling, Elsevier, vol. 13(C), pages 60-72.
    18. Elliot Anenberg, 2012. "Information frictions and housing market dynamics," Finance and Economics Discussion Series 2012-48, Board of Governors of the Federal Reserve System (U.S.).
    19. Czajkowski, Mikolaj & Hanley, Nicholas & LaRiviere, Jacob, 2012. "The Effects of Experience on Preference Uncertainty: Theory and Empirics for Public and Quasi-Public Goods," Stirling Economics Discussion Papers 2012-17, University of Stirling, Division of Economics.
    20. Xiao, Mo, 2010. "Is quality accreditation effective? Evidence from the childcare market," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 708-721, November.

    More about this item

    Keywords

    Durable goods; experience goods; consumer behavior;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:apc:wpaper:2015-031. 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: Nelson Ramírez-Rondán (email available below). General contact details of provider: https://edirc.repec.org/data/peruvea.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.