IDEAS home Printed from https://ideas.repec.org/p/ysm/wpaper/ysm290.html
   My bibliography  Save this paper

Measuring Prices and Price Competition Online: Amazon and Barnes and Noble

Author

Listed:
  • Austan Goolsbee
  • Judith Chevalier

Abstract

Despite the interest in measuring price sensitivity of online consumers, most academic work on Internet commerce is hindered by a lack of data on quality. In this paper we use publicly available data on the sales ranks of about 20,000 books to derive quantity proxies at the two leading online booksellers. Matching this information to prices, we can directly estimate the elasticities of demand facing both merchants as well as create a consumer price index for online books. The results show significant price sensitivity at both merchants but demand at Barnes and Noble is much more price-elastic than is demand at Amazon. The data also allows us to estimate the magnitude of retail outlet substitution bias in the CPI due to the rise of Internet sales. The estimates suggest that prices online are much more variable than the CPI, which understates inflation by more than double in one period and gets the sign wrong in another.

Suggested Citation

  • Austan Goolsbee & Judith Chevalier, 2002. "Measuring Prices and Price Competition Online: Amazon and Barnes and Noble," Yale School of Management Working Papers ysm290, Yale School of Management, revised 12 Sep 2008.
  • Handle: RePEc:ysm:wpaper:ysm290
    as

    Download full text from publisher

    File URL: https://repec.som.yale.edu/icfpub/publications/2363.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dennis W. Carlton & Judith A. Chevalier, 2001. "Free Riding and Sales Strategies for the Internet," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 441-461, December.
    2. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 521-539, December.
    3. Austan Goolsbee, 1999. "Evidence on the High-Income Laffer Curve from Six Decades of Tax Reform," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 30(2), pages 1-64.
    4. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    5. Chevalier, Judith A & Scharfstein, David S, 1996. "Capital-Market Imperfections and Countercyclical Markups: Theory and Evidence," American Economic Review, American Economic Association, vol. 86(4), pages 703-725, September.
    6. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    7. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," NBER Chapters, in: E-commerce, pages 521-539, National Bureau of Economic Research, Inc.
    8. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    9. Alan T. Sorensen, 2000. "Equilibrium Price Dispersion in Retail Markets for Prescription Drugs," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 833-862, August.
    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. Austan Goolsbee & Judith Chevalier, 2002. "Measuring Prices and Price Competition Online: Amazon and Barnes and Noble," NBER Working Papers 9085, National Bureau of Economic Research, Inc.
    2. Judith Chevalier & Austan Goolsbee, 2003. "Measuring Prices and Price Competition Online: Amazon.com and BarnesandNoble.com," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 203-222, June.
    3. Anirban Sengupta & Steven Wiggins, 2006. "Airline Pricing, Price Dispersion and Ticket Characteristics On and Off the Internet," Working Papers 06-07, NET Institute, revised Oct 2006.
    4. Michael A. Arnold & Christine Saliba, 2003. "Price Dispersion in Online Markets: The Case of College Textbooks," Working Papers 03-02, University of Delaware, Department of Economics.
    5. Lindgren, Charlie & Daunfeldt, Sven-Olov & Rudholm, Niklas, 2021. "Pricing In Retail Markets With Low Search Costs: Evidence From A Price Comparison Website," HFI Working Papers 18, Institute of Retail Economics (Handelns Forskningsinstitut).
    6. Anindya Ghose & Yuliang Yao, 2011. "Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets," Information Systems Research, INFORMS, vol. 22(2), pages 269-288, June.
    7. 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.
    8. Alan L. Montgomery & Kartik Hosanagar & Ramayya Krishnan & Karen B. Clay, 2004. "Designing a Better Shopbot," Management Science, INFORMS, vol. 50(2), pages 189-206, February.
    9. Zhuang, Hejun & Popkowski Leszczyc, Peter T.L. & Lin, Yuanfang, 2018. "Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion," Journal of Retailing, Elsevier, vol. 94(2), pages 136-153.
    10. Il-Horn Hann & Christian Terwiesch, 2003. "Measuring the Frictional Costs of Online Transactions: The Case of a Name-Your-Own-Price Channel," Management Science, INFORMS, vol. 49(11), pages 1563-1579, November.
    11. Xinxin Li & Bin Gu & Hongju Liu, 2013. "Price Dispersion and Loss-Leader Pricing: Evidence from the Online Book Industry," Management Science, INFORMS, vol. 59(6), pages 1290-1308, June.
    12. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    13. Randy A. Nelson & Richard Cohen & Frederik Roy Rasmussen, 2007. "An Analysis of Pricing Strategy and Price Dispersion on the Internet," Eastern Economic Journal, Eastern Economic Association, vol. 33(1), pages 95-110, Winter.
    14. Delphine Irac & Claire Célérier & Philippe Askenazy, 2010. "Vente à distance, internet et dynamiques des prix," Économie et Prévision, Programme National Persée, vol. 194(3), pages 1-13.
    15. Jie Jennifer Zhang & Bing Jing, 2007. "The Impacts of Shopbots on Online Consumer Search," Working Papers 07-34, NET Institute, revised Sep 2007.
    16. Pereira, Pedro, 2005. "Do lower search costs reduce prices and price dispersion?," Information Economics and Policy, Elsevier, vol. 17(1), pages 61-72, January.
    17. Haynes, Michelle & Thompson, Steve, 2008. "Price, price dispersion and number of sellers at a low entry cost shopbot," International Journal of Industrial Organization, Elsevier, vol. 26(2), pages 459-472, March.
    18. Kocas, Cenk & Kiyak, Tunga, 2006. "Theory and evidence on pricing by asymmetric oligopolies," International Journal of Industrial Organization, Elsevier, vol. 24(1), pages 83-105, January.
    19. Quariguasi Frota Neto, João & Dutordoir, Marie, 2020. "Mapping the market for remanufacturing: An application of “Big Data” analytics," International Journal of Production Economics, Elsevier, vol. 230(C).
    20. Glenn Ellison & Sara Fisher Ellison, 2009. "Search, Obfuscation, and Price Elasticities on the Internet," Econometrica, Econometric Society, vol. 77(2), pages 427-452, March.

    More about this item

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    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:ysm:wpaper:ysm290. 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/smyalus.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.