
Abstract We provide theoretical and empirical analysis of a selling mechanism used by an Internet web-site that combines important features of auctions and gambling. This is the first analysis of such a selling mechanism, which provides insights into how the two kinds of behavior might be related in real life. The winner of the object is the bidder with the highest bid not submitted by any other bidder. In the equilibrium of our game theoretical model, each bid made with positive probability yields the same probability of winning. Bidders are more likely to submit higher bids, and the bid distribution does not depend on the value of the object or the highest bid allowed if one controls for the number of bidders. Most of these key theoretical predictions are confirmed by the data.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
