IDEAS home Printed from https://ideas.repec.org/p/ide/wpaper/27408.html
   My bibliography  Save this paper

Reputation and Prices on the e-Market:Evidence from a Major French Platform

Author

Listed:
  • Jolivet, Grégory
  • Jullien, Bruno
  • Postel-Vinay, Fabien

Abstract

The broad aim of this paper is to gain some insight into the quantitative importance of reputation in e-commerce. We use an exhaustive data set from one of France’s largest e-commerce platforms, PriceMinister.com , to estimate a statistical causal effect of a seller’s reputation (and size) on transaction prices for a uniquely large range of product categories (books, CDs, video games or DVDs), product conditions (used or new) and seller types (individual or professional sellers). We go beyond the results currently available in the empirical literature by tackling the issue of seller unobserved heterogeneity and the weak exogeneity of reputation (and size) in price equations. Our results show large-scale empirical evidence of a significant, positive and strong effect of seller reputation on prices http://PriceMinister.com

Suggested Citation

  • Jolivet, Grégory & Jullien, Bruno & Postel-Vinay, Fabien, 2013. "Reputation and Prices on the e-Market:Evidence from a Major French Platform," IDEI Working Papers 785, Institut d'Économie Industrielle (IDEI), Toulouse, revised May 2014.
  • Handle: RePEc:ide:wpaper:27408
    as

    Download full text from publisher

    File URL: http://idei.fr/sites/default/files/medias/doc/by/jullien/pm_0514gsub1.pdf
    File Function: Full text
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    2. 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.
    3. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," Review of Economic Studies, Oxford University Press, vol. 62(1), pages 53-82.
    4. Bruno Jullien & In-Uck Park, 2014. "New, Like New, or Very Good? Reputation and Credibility," Review of Economic Studies, Oxford University Press, vol. 81(4), pages 1543-1574.
    5. Steven Tadelis, 1999. "What's in a Name? Reputation as a Tradeable Asset," American Economic Review, American Economic Association, vol. 89(3), pages 548-563, June.
    6. Klein, Tobias & Lambertz, Christian & Stahl, Konrad, 2013. "Adverse Selection and Moral Hazard in Anonymous Markets," CEPR Discussion Papers 9501, C.E.P.R. Discussion Papers.
    7. Andrew Atkeson & Christian Hellwig & Guillermo Ordoñez, 2015. "Optimal Regulation in the Presence of Reputation Concerns," The Quarterly Journal of Economics, Oxford University Press, vol. 130(1), pages 415-464.
    8. Sanderson, Eleanor & Windmeijer, Frank, 2016. "A weak instrument F-test in linear IV models with multiple endogenous variables," Journal of Econometrics, Elsevier, vol. 190(2), pages 212-221.
    9. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.
    10. David Lucking-Reiley & Doug Bryan & Naghi Prasad & Daniel Reeves, 2007. "PENNIES FROM EBAY: THE DETERMINANTS OF PRICE IN ONLINE AUCTIONS -super-," Journal of Industrial Economics, Wiley Blackwell, vol. 55(2), pages 223-233, June.
    11. 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.
    12. Jeffrey A. Livingston, 2005. "How Valuable Is a Good Reputation? A Sample Selection Model of Internet Auctions," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 453-465, August.
    13. Hongbin Cai & Ginger Z. Jin & Chong Liu & Li-An Zhou, 2013. "More Trusting, Less Trust? An Investigation of Early E-Commerce in China," NBER Working Papers 18961, National Bureau of Economic Research, Inc.
    14. Bajari, Patrick & Hortacsu, Ali, 2003. " The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 329-355, Summer.
    15. Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer;Economic Science Association, vol. 9(2), pages 79-101, June.
    16. S. Darolles & Y. Fan & J. P. Florens & E. Renault, 2011. "Nonparametric Instrumental Regression," Econometrica, Econometric Society, vol. 79(5), pages 1541-1565, September.
    17. Martin W. Cripps & George J. Mailath & Larry Samuelson, 2004. "Imperfect Monitoring and Impermanent Reputations," Econometrica, Econometric Society, vol. 72(2), pages 407-432, March.
    18. Tobias J. Klein & Christian Lambertz & Konrad O. Stahl, 2016. "Market Transparency, Adverse Selection, and Moral Hazard," Journal of Political Economy, University of Chicago Press, vol. 124(6), pages 1677-1713.
    19. W. Bentley MacLeod, 2007. "Reputations, Relationships, and Contract Enforcement," Journal of Economic Literature, American Economic Association, vol. 45(3), pages 595-628, September.
    20. Qin Lei, 2011. "FINANCIAL VALUE OF REPUTATION: EVIDENCE FROM THE eBAY AUCTIONS OF GMAIL INVITATIONS," Journal of Industrial Economics, Wiley Blackwell, vol. 59(3), pages 422-456, September.
    21. Bruno Jullien & In-Uck Park, 2009. "Seller Reputation and Trust in Pre-Trade Communication," Levine's Working Paper Archive 814577000000000330, David K. Levine.
    22. Gabriel Y. Weintraub & C. Lanier Benkard & Benjamin Van Roy, 2008. "Markov Perfect Industry Dynamics With Many Firms," Econometrica, Econometric Society, vol. 76(6), pages 1375-1411, November.
    23. Michael Anderson & Jeremy Magruder, 2012. "Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database," Economic Journal, Royal Economic Society, vol. 122(563), pages 957-989, September.
    24. George J. Mailath & Larry Samuelson, 2001. "Who Wants a Good Reputation?," Review of Economic Studies, Oxford University Press, vol. 68(2), pages 415-441.
    25. Patrick Bajari & Ali Hortaçsu, 2004. "Economic Insights from Internet Auctions," Journal of Economic Literature, American Economic Association, vol. 42(2), pages 457-486, June.
    26. Luís Cabral & Ali Hortaçsu, 2010. "THE DYNAMICS OF SELLER REPUTATION: EVIDENCE FROM EBAY -super-," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    27. Chunrong Ai & Xiaohong Chen, 2003. "Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions," Econometrica, Econometric Society, vol. 71(6), pages 1795-1843, November.
    28. Heski Bar-Isaac, 2003. "Reputation and Survival: Learning in a Dynamic Signalling Model," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 231-251.
    29. Durham Yvonne & Roelofs Matthew R & Standifird Stephen S, 2004. "eBay's Buy-It-Now Function: Who, When, and How," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-24, October.
    30. Michael Luca, 2011. "Reviews, Reputation, and Revenue: The Case of Yelp.com," Harvard Business School Working Papers 12-016, Harvard Business School, revised Mar 2016.
    31. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    32. Cynthia G. McDonald & V. Carlos Slawson, 2002. "Reputation in An Internet Auction Market," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 633-650, October.
    33. Michaël Dewally & Louis Ederington, 2006. "Reputation, Certification, Warranties, and Information as Remedies for Seller-Buyer Information Asymmetries: Lessons from the Online Comic Book Market," The Journal of Business, University of Chicago Press, vol. 79(2), pages 693-730, March.
    34. Daniel W. Elfenbein & Ray Fisman & Brian Mcmanus, 2012. "Charity as a Substitute for Reputation: Evidence from an Online Marketplace," Review of Economic Studies, Oxford University Press, vol. 79(4), pages 1441-1468.
    35. Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 353-369, June.
    36. Bergemann, Dirk & Valimaki, Juuso, 1996. "Learning and Strategic Pricing," Econometrica, Econometric Society, vol. 64(5), pages 1125-1149, September.
    37. Bar-Isaac, Heski & Tadelis, Steven, 2008. "Seller Reputation," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(4), pages 273-351, August.
    38. Melnik, Mikhail I & Alm, James, 2002. "Does a Seller's Ecommerce Reputation Matter? Evidence from eBay Auctions," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 337-349, September.
    39. Klein, Benjamin & Leffler, Keith B, 1981. "The Role of Market Forces in Assuring Contractual Performance," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 615-641, August.
    40. Carl Shapiro, 1982. "Consumer Information, Product Quality, and Seller Reputation," Bell Journal of Economics, The RAND Corporation, vol. 13(1), pages 20-35, Spring.
    41. repec:bri:uobdis:15/644 is not listed on IDEAS
    42. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    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. Fan, Ying & Ju, Jiandong & Xiao, Mo, 2016. "Reputation premium and reputation management: Evidence from the largest e-commerce platform in China," International Journal of Industrial Organization, Elsevier, vol. 46(C), pages 63-76.

    More about this item

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • 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:ide:wpaper:27408. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/idtlsfr.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.