Consumer Surplus in Online Auctions

Despite the growing research interest in Internet auctions, particularly those on eBay, little is known about quantifiable consumer surplus levels in such mechanisms. Using an ongoing novel field experiment that involves real bidders participating in real auctions, and voting with real dollars, we collect and examine a unique dataset to estimate consumer surplus in eBay auctions. The estimation procedure relies mainly on knowing the highest bid, which is not disclosed by eBay, but is available to us from our experiment. At the outset we assume a private value second-price sealed-bid auction setting, as well as a lack of alternative buying options within or outside eBay. Our analysis, based on a sample of 4514 eBay auctions, indicates that consumers extract a median surplus of at least $4 per eBay auction. This estimate is unbiased under the above assumptions, and otherwise it is a lower bound. The distribution of surplus is highly skewed given the diverse nature of the data. We find that eBay's auctions generate at least $7.05 billion in total consumer surplus in the year 2003 and may generate up to $7.68 billion if the private value sealed-bid assumption does not hold. We check for the validity of our assumptions and the robustness of our estimates using an additional dataset from 2005 and a randomly sampled validation dataset from eBay.

[1]  William Vickrey,et al.  Counterspeculation, Auctions, And Competitive Sealed Tenders , 1961 .

[2]  Ravi Bapna,et al.  When snipers become predators: can mechanism design save online auctions? , 2003, CACM.

[3]  Wolfgang Jank,et al.  Visualizing Online Auctions , 2005 .

[4]  Austan Goolsbee,et al.  The Consumer Gains from Direct Broadcast Satellites and the Competition with Cable Television , 2001 .

[5]  Robert Zeithammer,et al.  Modeling online auctions with proxy-bidding: Ascending versus Sealed Model , 2006 .

[6]  J. Hausman,et al.  Contingent Valuation: Is Some Number Better than No Number? , 1994 .

[7]  P. Klemperer How (Not) to Run Auctions: The European 3g Telecom Auctions , 2001 .

[8]  V. Smith,et al.  Monetary rewards and decision cost in experimental economics , 2000 .

[9]  Paul Resnick,et al.  Trust among strangers in internet transactions: Empirical analysis of eBay' s reputation system , 2002, The Economics of the Internet and E-commerce.

[10]  Alok Gupta,et al.  Analysis and Design of Business - to - Consumer Online Auctions , 2003, Manag. Sci..

[11]  Unjy Song,et al.  Nonparametric Estimation of an eBay Auction Model with an Unknown Number of Bidders* , 2004 .

[12]  Measuring Consumer Surplus on eBay: An Empirical Study , 2007 .

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

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

[15]  Ali Hortaçsu,et al.  Economic Insights from Internet Auctions , 2004 .

[16]  Diane Lambert,et al.  Zero-inflacted Poisson regression, with an application to defects in manufacturing , 1992 .

[17]  David Lucking-Reiley,et al.  Using field experiments to test equivalence between auction formats: Magic on the internet , 1999 .

[18]  Abraham Seidmann,et al.  Can online auctions beat online catalogs? , 1999, ICIS.

[19]  J. Hausman Exact Consumer's Surplus and Deadweight Loss , 1981 .

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

[21]  Alok Gupta,et al.  Replicating Online Yankee Auctions to Analyze Auctioneers' and Bidders' Strategies , 2003, Inf. Syst. Res..

[22]  David H. Reiley Auctions on the Internet: What's Being Auctioned, and How? , 2000 .

[23]  Rahul Telang,et al.  Internet Exchanges for Used Books: An Empirical Analysis of Welfare Implications , 2005 .

[24]  Wolfgang Jank,et al.  Modeling Bid Arrivals in Online Auctions , 2004 .

[25]  John A. List,et al.  BIDDING BEHAVIOR AND DECISION COSTS IN FIELD EXPERIMENTS , 2002 .

[26]  Estimating consumer surplus in ebay computer monitor auctions , 2006 .

[27]  A. Roth,et al.  Last Minute Bidding and the Rules for Ending Second-Price Auctions: Theory and Evidence from a Natural Experiment on the Internet , 2000 .

[28]  Eli M. Snir Online auctions enabling the secondary computer market , 2006, Inf. Technol. Manag..

[29]  P. Klemperer Auction Theory: A Guide to the Literature , 1999 .

[30]  Wolfgang Jank,et al.  The BARISTA: A model for bid arrivals in online auctions , 2007, 0712.1962.

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

[32]  C. Adams,et al.  Digital Demand: Demand for Digital Cameras on Ebay , 2005 .

[33]  DeGross Errata Notes: User Heterogeneity and Its Impact on Electronic Auction Market Design: An Empirical Exploration , 2004 .

[34]  Paul A. Pavlou,et al.  Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Buyer Behavior , 2002, MIS Q..

[35]  Erik Brynjolfsson,et al.  Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers , 2003, Manag. Sci..

[36]  Focusing on Demand: Using Ebay Data to Analyze the Demand for Telescopes , 2003 .

[37]  David H. Reiley,et al.  Public versus Secret Reserve Prices in eBay Auctions: Results from a Pokémon Field Experiment , 2007 .

[38]  F. E. Principles of Economics , 1890, Nature.

[39]  E. Maasland,et al.  Auction Theory , 2021, Springer Texts in Business and Economics.

[40]  R. McAfee,et al.  Auctions and Bidding , 1986 .