IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/13140.html
   My bibliography  Save this paper

"The Best Price You'll Ever Get" The 2005 Employee Discount Pricing Promotions in the U.S. Automobile Industry

Author

Listed:
  • Meghan R. Busse
  • Duncan Simester
  • Florian Zettelmeyer

Abstract

During the summer of 2005, the Big Three U.S. automobile manufacturers offered a customer promotion that allowed customers to buy new cars at the discounted price formerly offered only to employees. The initial months of the promotion were record sales months for each of the Big Three firms, suggesting that customers thought that the prices offered during the promotions were particularly attractive. In fact, such large rebates had been available before the employee discount promotion that many customers paid higher prices following the introduction of the promotions than they would have in the weeks just before. We hypothesize that the complex nature of auto prices, the fact that prices are negotiated rather than posted, and the fact that buyers do not participate frequently in the market leads customers to rely on "price cues" in evaluating how good current prices are. We argue that the employee discount pricing promotions were price cues, and that customers responded to the promotions as a signal that prices were discounted.

Suggested Citation

  • Meghan R. Busse & Duncan Simester & Florian Zettelmeyer, 2007. ""The Best Price You'll Ever Get" The 2005 Employee Discount Pricing Promotions in the U.S. Automobile Industry," NBER Working Papers 13140, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:13140
    Note: IO
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w13140.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Perloff & Steven C. Salop, 1985. "Equilibrium with Product Differentiation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(1), pages 107-120.
    2. Eric T. Anderson & Duncan I. Simester, 2001. "Are Sale Signs Less Effective When More Products Have Them?," Marketing Science, INFORMS, vol. 20(2), pages 121-142, March.
    3. Asher Wolinsky, 1986. "True Monopolistic Competition as a Result of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 493-511.
    4. Kyle Bagwell, 1987. "Introductory Price as a Signal of Cost in a Model of Repeat Business," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 54(3), pages 365-384.
    5. Meghan Busse & Jorge Silva-Risso & Florian Zettelmeyer, 2006. "$1,000 Cash Back: The Pass-Through of Auto Manufacturer Promotions," American Economic Review, American Economic Association, vol. 96(4), pages 1253-1270, September.
    6. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    7. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    8. Simon P. Anderson & Regis Renault, 1999. "Pricing, Product Diversity, and Search Costs: A Bertrand-Chamberlin-Diamond Model," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 719-735, Winter.
    9. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
    10. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    11. Fiona Morton & Florian Zettelmeyer & Jorge Silva-Risso, 2003. "Consumer Information and Discrimination: Does the Internet Affect the Pricing of New Cars to Women and Minorities?," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 65-92, March.
    12. Duncan Simester, 1995. "Signalling Price Image Using Advertised Prices," Marketing Science, INFORMS, vol. 14(2), pages 166-188.
    13. Glenn Ellison & Sara Fisher Ellison, 2009. "Search, Obfuscation, and Price Elasticities on the Internet," Econometrica, Econometric Society, vol. 77(2), pages 427-452, March.
    14. Inman, J Jeffrey & McAlister, Leigh & Hoyer, Wayne D, 1990. "Promotion Signal: Proxy for a Price Cut?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(1), pages 74-81, June.
    15. Thompson, Patrick A & Noordewier, Thomas, 1992. "Estimating the Effects of Consumer Incentive Programs on Domestic Automobile Sales," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 409-417, October.
    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. Adam Copeland, 2008. "The Dynamics of Automobile Expenditures," 2008 Meeting Papers 852, Society for Economic Dynamics.
    2. Lin, Yeqiang & Kerstetter, Deborah & Nawijn, Jeroen & Mitas, Ondrej, 2014. "Changes in emotions and their interactions with personality in a vacation context," Tourism Management, Elsevier, vol. 40(C), pages 416-424.

    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. Eric T. Anderson & Duncan I. Simester, 2004. "Long-Run Effects of Promotion Depth on New Versus Established Customers: Three Field Studies," Marketing Science, INFORMS, vol. 23(1), pages 4-20, February.
    2. Meghan R. Busse & Duncan I. Simester & Florian Zettelmeyer, 2010. "“The Best Price You'll Ever Get”: The 2005 Employee Discount Pricing Promotions in the U.S. Automobile Industry," Marketing Science, INFORMS, vol. 29(2), pages 268-290, 03-04.
    3. Fishman, Arthur & Lubensky, Dmitry, 2018. "Search prominence and return costs," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 136-161.
    4. Nathan Larson, 2013. "Niche products, generic products, and consumer search," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(2), pages 793-832, March.
    5. Grewal, Dhruv & Janakiraman, Ramkumar & Kalyanam, Kirthi & Kannan, P.K. & Ratchford, Brian & Song, Reo & Tolerico, Stephen, 2010. "Strategic Online and Offline Retail Pricing: A Review and Research Agenda," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 138-154.
    6. Javier Donna & Andre Trindade & Pedro Pereira & Tiago Pires, 2018. "Measuring the Welfare of Intermediation in Vertical Markets," 2018 Meeting Papers 984, Society for Economic Dynamics.
    7. Zhang, Xubing & Jiang, Bo, 2014. "Increasing Price Transparency: Implications of Consumer Price Posting for Consumers' Haggling Behavior and a Seller's Pricing Strategies," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 68-85.
    8. Richards, Timothy J. & Hamilton, Stephen F. & Allender, William, 2016. "Search and price dispersion in online grocery markets," International Journal of Industrial Organization, Elsevier, vol. 47(C), pages 255-281.
    9. Brynjolfsson, Erik & Dick, Astrid Andrea & Smith, Michael D., 2004. "Search and Product Differentiation at an Internet Shopbot," Working papers 4441-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    10. Donna, Javier D. & Pereira, Pedro & Pires, Tiago & Trindade, Andre, 2018. "Measuring the Welfare of Intermediaries in Vertical Markets," MPRA Paper 90465, University Library of Munich, Germany.
    11. Nelson Granados & Alok Gupta & Robert J. Kauffman, 2010. "Research Commentary---Information Transparency in Business-to-Consumer Markets: Concepts, Framework, and Research Agenda," Information Systems Research, INFORMS, vol. 21(2), pages 207-226, June.
    12. Hoskins, Jake D., 2020. "The evolving role of hit and niche products in brick-and-mortar retail category assortment planning: A large-scale empirical investigation of U.S. consumer packaged goods," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    13. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    14. Moraga-González, José L. & Sándor, Zsolt & Wildenbeest, Matthijs R., 2014. "Prices, Product Differentiation, And Heterogeneous Search Costs," IESE Research Papers D/1097, IESE Business School.
    15. Andrew Rhodes & Jidong Zhou, 2019. "Consumer Search and Retail Market Structure," Management Science, INFORMS, vol. 67(6), pages 2607-2623, June.
    16. Zhan (Michael) Shi & T. S. Raghu, 2020. "An Economic Analysis of Product Recommendation in the Presence of Quality and Taste-Match Heterogeneity," Information Systems Research, INFORMS, vol. 31(2), pages 399-411, June.
    17. Moraga-Gonzalez, Jose L. & Wildenbeest, Matthijs R., 2011. "Comparison sites," IESE Research Papers D/933, IESE Business School.
      • Jose Luis Moraga-Gonzalez & Matthijs R. Wildenbeest, 2011. "Comparison Sites," Working Papers 2011-04, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    18. Hackl, Franz & Kummer, Michael E. & Winter-Ebmer, Rudolf & Zulehner, Christine, 2014. "Market structure and market performance in E-commerce," European Economic Review, Elsevier, vol. 68(C), pages 199-218.
    19. Michael R. Baye & John Morgan & Patrick Scholten, 2004. "Price Dispersion In The Small And In The Large: Evidence From An Internet Price Comparison Site," Journal of Industrial Economics, Wiley Blackwell, vol. 52(4), pages 463-496, December.
    20. Heiko Karle & Martin Peitz & Markus Reisinger, 2020. "Segmentation versus Agglomeration: Competition between Platforms with Competitive Sellers," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2329-2374.

    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment

    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:nbr:nberwo:13140. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.