EBAY'S HAPPY HOUR: NON-RATIONAL HERDING IN ONLINE AUCTIONS

We hypothesized that on-line auction bidders would herd behind other bidders even when observed choices did not reveal private information. A model that inserts bidders engaging in this type of non-rational herding into a competitive market shows that, in equilibrium, (some) sellers set low starting-price in order to attract low valuation bidders who in turn bring high valuation ones. The model leads to three predictions, all of which found support in a sample of 8,300 eBay auctions for DVD movies: (1) conditioning on current price, low starting-price auctions are more likely to receive additional bids, (2) a bid of a certain dollar amount is less likely to win a low starting-price auction, and (3) low starting-price auctions are more likely to attain high selling prices. We rule out alternative explanations based on unobserved heterogeneity across items with different starting-prices, on the possibility that bidders may become attached to items they place early bids on, and that snipers decide what auctions to bid on while prices are still low.

[1]  J. K. Murnighan,et al.  Starting low but ending high: a reversal of the anchoring effect in auctions. , 2006, Journal of personality and social psychology.

[2]  Eric T. Bradlow,et al.  An Integrated Model for Whether, Who, When, and How Much in Internet Auctions , 2005 .

[3]  Lawrence M. Ausubel,et al.  Consumer Time Inconsistency: Evidence from a market experiment in the credit card market , 2004 .

[4]  D. Ariely,et al.  Auction fever: The effect of opponents and quasi-endowment on product valuations , 2004 .

[5]  Michael A. Kamins,et al.  Effects of Seller-Supplied Prices on Buyers' Product Evaluations: Reference Prices in an Internet Auction Context , 2004 .

[6]  David H. Reiley Experimental evidence on the endogenous entry of bidders in internet auctions , 2004 .

[7]  Andrew T. Brint,et al.  Investigating buyer and seller strategies in online auctions , 2003, J. Oper. Res. Soc..

[8]  Gerald Häubl,et al.  Minimum Prices and Product Valuations in Auctions , 2003 .

[9]  D. Ariely,et al.  Buying, Bidding, Playing, or Competing? Value Assessment and Decision Dynamics in Online Auctions , 2003 .

[10]  Stefano DellaVigna,et al.  Overestimating Self-Control: Evidence from the Health Club Industry , 2002 .

[11]  A. Roth,et al.  Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet , 2002 .

[12]  Ali Hortaçsu,et al.  Winner's Curse, Reserve Prices and Endogenous Entry: Empirical Insights from Ebay Auctions , 2003 .

[13]  Ronald T. Wilcox Experts and Amateurs: The Role of Experience in Internet Auctions , 2000 .

[14]  David H. Reiley,et al.  Pennies from Ebay: The Determinants of Price in Online Auctions , 2000 .

[15]  G. Becker,et al.  A Note on Restaurant Pricing and Other Examples of Social Influences on Price , 1991, Journal of Political Economy.

[16]  C. Shapiro,et al.  Network Externalities, Competition, and Compatibility , 1985 .

[17]  Paul R. Milgrom,et al.  A theory of auctions and competitive bidding , 1982 .

[18]  Roger B. Myerson,et al.  Optimal Auction Design , 1981, Math. Oper. Res..

[19]  George A. Akerlof A theory of social custom, of which unemployment may be one consequence , 1980 .

[20]  Shelley E. Taylor,et al.  Point of view and perceptions of causality. , 1975 .

[21]  V. A. Harris,et al.  The Attribution of Attitudes , 1967 .

[22]  F. Heider The psychology of interpersonal relations , 1958 .