Pricing display ads and contextual ads: Competition, acquisition, and investment
Electronic Commerce Research and Applications
Marketing Science
The Race for Sponsored Links: Bidding Patterns for Search Advertising
Marketing Science
An analysis of the importance of the long tail in search engine marketing
Electronic Commerce Research and Applications
A Dynamic Model of Sponsored Search Advertising
Marketing Science
Cyclical Bid Adjustments in Search-Engine Advertising
Management Science
Research Note---Performance-Based Advertising: Advertising as Signals of Product Quality
Information Systems Research
Optimal keyword auctions for optimal user experiences
Decision Support Systems
Bidding behaviors for a keyword auction in a sealed-bid environment
Decision Support Systems
Electronic Commerce Research and Applications
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This paper designs an optimal mechanism for selling a set of commonly ranked objects. Although buyers rank these objects in the same order, the rates at which their valuations change for a less-preferred object might be different. Four stylized cases are identified according to this difference: parallel, convergent, divergent, and convergent-then-divergent. In general, the optimal mechanism cannot be interpreted as a conventional second-price auction. A reserve price is imposed for each object. Depending on which of the four stylized cases is considered, a higher-value bidder may be allocated a higher-ranked or lower-ranked object. There is also a positive probability that a higher-ranked object is not allocated while a lower-ranked one is allocated. In a departure from the extant mechanism-design literature, the individual-rationality constraint for a mid-range type of bidder can be binding.