Abstract
Auctions on the Internet provide a new source of data on how bidding is in uenced by the detailed rules of the auction. Here we study the second-price auctions run by eBay and Amazon, in which a bidder submits a reservation price and has this (maximum) price used to bid for him by proxy. That is, a bidder can submit his reservation price (called a proxy bid) early in the auction and have the resulting bid register as the minimum increment above the previous high bid. As subsequent reservation prices are submitted, the bid rises by the minimum increment until the second-highest submitted reservation price is exceeded. Hence, an early bid with a reservation price higher than any other submitted during the auction will win the auction and pay only the minimum increment above the second-highest submitted reservation price. eBay and Amazon use different rules for ending an auction. Auctions on eBay have a xed end time (a “hard close”), while auctions on Amazon, which operate under otherwise similar rules, are automatically extended if necessary past the scheduled end time until ten minutes have passed without a bid. These different rules give bidders more reason to bid late on eBay than on Amazon.We nd that this is re ected in the auction data: the fraction of bids submitted in the closing seconds of the auction is substantially larger in eBay than in Amazon, and more experience causes bidders to bid later on eBay, but earlier on Amazon. Last-minute bidding, a practice called “sniping,” arises despite advice from both auctioneers and sellers in eBay that bidders should simply submit their maximum willingness to pay, once, early in the auction. For example, eBay instructs bidders on the simple economics of second-price auctions, using an example of a winning early bid. They discuss last-minute bids on a page explaining that they will not accept complaints about sniping, as follows:
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