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Shill bidding is a fraudulent in-auction strategy where a seller participates as a bidder in his own auctions. This is the first paper on shill bidding that is based on a data set which includes personal details. Along with bidding histories, I can prove that on the investigated platform 0.3% of...
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Second-price auctions with public information, such as those on eBay, provide an opportunity for sellers to use the information from finished and ongoing auctions when acting strategically in future auctions. Sellers have frequently been observed to bidding on their own item with the intent to...
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Shill bidding is a fraudulent in-auction strategy where a seller participates as a bidder in his own auctions. This is the first paper on shill bidding that is based on a data set which includes personal details. Along with bidding histories, I can prove that on the investigated platform 0.3% of...
Persistent link: https://www.econbiz.de/10010373309
This paper explores, through a series of experiments, the effect of shill bidding upon revenues and prices in auctions. We study the practice of shill bidding in a common value framework. Our findings are consistent with the theoretical prediction that, if bidders are aware of the possibility of...
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<span lang="EN-US">Shill bidding is a fraudulent in-auction strategy where a seller participates as a bidder in his own auctions. This is the first paper on shill bidding that is based on a data set which includes personal details. Along with bidding histories, I can prove that on the investigated platform 0.3% of...</span>
Persistent link: https://www.econbiz.de/10011031551
An endowment effect can result in both multiple bidding and sniping in auctions. It can cause players to bid multiple … times and overpay for items. Sniping is a rational response for experienced bidders looking to avoid the endowment effect. …
Persistent link: https://www.econbiz.de/10008472151
equilibria no longer exists, even for only two bidders. Hence, we introduce a further reason for sniping behavior in Hard Close …
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