This article surveys empirical findings from recent studies of Internet auctions and summarizes the economic insights gained from these findings. The main questions addressed in this article are: What are the rules of the game used in online auctions and how do these rules influence bidding behavior, such as sniping or bid shading? Is a good reputation, as measured by a seller’s feedback, valued by bidders and is feedback important in making online markets function well? Is the “winner’s curse” present in online auctions? How do minimum bids and secret reserve prices affect bidding and final sale prices?
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Paper provided by Stanford University, Department of Economics in its series Working Papers with number
02005.
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Roger B. Myerson, 1978.
"Optimal Auction Design,"
Discussion Papers
362, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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